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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Neurol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Neurology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Neurol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1664-2295</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fneur.2026.1744242</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Integrative neurobiological mechanisms of acupuncture in post-stroke cognitive impairment: from neurotransmission to brain network remodeling</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes" equal-contrib="yes">
<name>
<surname>Li</surname>
<given-names>Wei</given-names>
</name>
<xref ref-type="aff" rid="aff1"/>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3243282"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="supervision" vocab-term-identifier="https://credit.niso.org/contributor-roles/supervision/">Supervision</role>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Liu</surname>
<given-names>Lebin</given-names>
</name>
<xref ref-type="aff" rid="aff1"/>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Weiwei</given-names>
</name>
<xref ref-type="aff" rid="aff1"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</role>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Huiping</given-names>
</name>
<xref ref-type="aff" rid="aff1"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="validation" vocab-term-identifier="https://credit.niso.org/contributor-roles/validation/">Validation</role>
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<aff id="aff1"><institution>Department of Rehabilitation Medicine, Hubei Rongjun Hospital</institution>, <city>Wuhan</city>, <country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Wei Li, <email xlink:href="mailto:l478042313@163.com">l478042313@163.com</email></corresp>
<fn fn-type="equal" id="fn0001">
<label>&#x2020;</label>
<p>These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-25">
<day>25</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1744242</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>07</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>05</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 Li, Liu, Liu and Liu.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Li, Liu, Liu and Liu</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-25">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<p>Post-stroke cognitive impairment (PSCI) is a prevalent sequela of stroke that severely limits recovery and quality of life. Accumulating evidence indicates that acupuncture exerts significant neuroprotective and cognitive-enhancing effects in PSCI; however, the underlying mechanisms remain fragmented across molecular, cellular, and systems levels. This review proposes an integrative neurobiological framework linking neurotransmission, neuroinflammation, neurotrophic signaling, and brain network remodeling to explain how acupuncture promotes neurorepair and cognitive restoration after stroke. We systematically summarized recent clinical and experimental findings from 2001 to 2025 and categorized the converging mechanisms into five inter-related dimensions: (1) regulation of neurotransmitters and synaptic plasticity; (2) anti-inflammatory and immune modulation; (3) anti-oxidative stress and anti-apoptotic actions; (4) up-regulation of BDNF-related pathways and neurotrophic signaling; and (5) enhancement of neurogenesis and reconstruction of brain functional networks. Collectively, these multimodal effects form a systems-level cascade through which acupuncture may facilitate neuroplastic remodeling and cognitive recovery. Current challenges include heterogeneity of study design, insufficient multi-omics validation, and limited longitudinal imaging evidence. Future research should integrate molecular biomarkers, neuroimaging, and clinical outcomes to verify this multi-layered mechanistic framework and to guide precision acupuncture protocols for PSCI rehabilitation.</p>
</abstract>
<kwd-group>
<kwd>acupuncture</kwd>
<kwd>BDNF signaling</kwd>
<kwd>brain network remodeling</kwd>
<kwd>neuroinflammation</kwd>
<kwd>neuroplasticity</kwd>
<kwd>neurotransmission</kwd>
<kwd>post-stroke cognitive impairment</kwd>
<kwd>systems neurobiology</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication.This work was supported by the Traditional Chinese Medicine Research Fund of Hubei Administration of Traditional Chinese Medicine (ZY2025L158).</funding-statement>
</funding-group>
<counts>
<fig-count count="2"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="84"/>
<page-count count="16"/>
<word-count count="9918"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Neurorehabilitation</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>PSCI is a common and disabling consequence of stroke, affecting nearly one-third of survivors and markedly compromising functional independence and quality of life (<xref ref-type="bibr" rid="ref1">1</xref>). Despite advances in acute stroke management and secondary prevention, effective therapeutic strategies for PSCI remain limited (<xref ref-type="bibr" rid="ref2">2</xref>). Pharmacological interventions such as cholinesterase inhibitors and memantine provide only modest benefit, underscoring the urgent need for complementary neurorehabilitative approaches that target multi-dimensional mechanisms of brain repair (<xref ref-type="bibr" rid="ref3">3</xref>).</p>
<p>Acupuncture, a key modality of traditional Chinese medicine (TCM), has been increasingly recognized as a promising neurorehabilitative intervention for post-stroke deficits (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref5">5</xref>). Accumulating clinical and experimental evidence demonstrates that acupuncture can enhance cognitive function, promote neuroplasticity, and modulate cerebral perfusion (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref7">7</xref>). From the TCM perspective, PSCI corresponds to syndromes such as deficiency of kidney essence, disharmony of heart and spleen, or phlegm-stasis obstructing the orifices, all reflecting disrupted communication between the brain (sea of marrow) and viscera (<xref ref-type="bibr" rid="ref8">8</xref>). In TCM, these classical syndromes emphasize internal imbalance and systemic dysfunction rather than localized pathology (<xref ref-type="bibr" rid="ref9">9</xref>). Modern neurobiology provides parallel interpretations of these concepts: &#x201C;deficiency of essence&#x201D; resembles neurotrophic insufficiency and synaptic loss; &#x201C;heart&#x2013;spleen disharmony&#x201D; parallels metabolic and neuroimmune dysregulation; and &#x201C;phlegm-stasis obstruction&#x201D; corresponds to neurovascular inflammation and impaired waste clearance within the glymphatic and vascular systems (<xref ref-type="bibr" rid="ref10">10</xref>). Thus, the TCM framework can be reinterpreted as a multi-system imbalance encompassing neurotransmitter dysfunction, neuroinflammation, oxidative stress, and disturbed neurovascular coupling (<xref ref-type="bibr" rid="ref11">11</xref>). This conceptual alignment underscores the idea that acupuncture&#x2014;rooted in restoring systemic homeostasis&#x2014;may exert therapeutic effects through multi-level neural regulation (<xref ref-type="bibr" rid="ref12">12</xref>). Integrating this traditional systems-based view with modern mechanistic evidence provides a coherent rationale for exploring acupuncture&#x2019;s role in promoting neuroplasticity and cognitive recovery in PSCI.</p>
<p>However, previous studies have typically focused on isolated molecular or regional mechanisms&#x2014;for example, single neurotransmitters, inflammatory cytokines, or individual brain regions&#x2014;without clarifying how these diverse pathways interact within a systems framework (<xref ref-type="bibr" rid="ref13">13</xref>). As a result, the neurobiological basis of acupuncture for PSCI remains fragmented, and the field lacks a coherent model that links cellular processes to higher-order cognitive recovery (<xref ref-type="bibr" rid="ref14">14</xref>).</p>
<p>Therefore, the present review aims to establish an integrative neurobiological framework of acupuncture in PSCI, synthesizing evidence across molecular, cellular, and network levels. We summarize current clinical and experimental findings within five interrelated dimensions: regulation of neurotransmitters and synaptic plasticity, immune-inflammatory modulation, anti-oxidative and anti-apoptotic protection, activation of BDNF-related signaling, and reconstruction of functional brain networks. By tracing the continuum from neurotransmission to brain network remodeling, this review seeks to decode how acupuncture orchestrates multi-level neurorepair and to identify future directions for precision-based acupuncture rehabilitation in cognitive recovery after stroke.</p>
</sec>
<sec sec-type="methods" id="sec2">
<label>2</label>
<title>Methods</title>
<p>This review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines. A systematic literature search was performed in PubMed, Web of Science, and Embase databases covering the period from January 2001 to February 2025, with the final search conducted on June 30, 2025. The following Boolean search strategy was applied: (acupuncture OR electroacupuncture OR manual acupuncture) AND (post-stroke cognitive impairment OR vascular cognitive impairment OR poststroke dementia OR PSCI) AND (mechanism OR neuroplasticity OR neurotransmitter OR BDNF OR inflammation OR oxidative stress OR network). The complete search strategies for each database, including search fields and limits, are provided in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>. Retrieved records were imported into EndNote X9 for deduplication. Duplicate records were identified and removed automatically and manually verified. Two reviewers independently screened titles, abstracts, and full texts. Formal methodological quality assessment or risk-of-bias evaluation was not performed, as this review aimed to synthesize mechanistic evidence across heterogeneous experimental and clinical study designs rather than to quantitatively compare intervention effects. Inclusion criteria were: (1) clinical or experimental studies investigating the mechanisms of acupuncture in PSCI; (2) studies reporting molecular, cellular, or systems-level outcomes related to cognition; (3) peer-reviewed English-language publications. Exclusion criteria were: (1) conference abstracts, reviews, or case reports; (2) studies lacking mechanistic outcome measures; (3) duplicate publications.</p>
<p>A total of 61 articles met the inclusion criteria, including 41 basic studies and 20 clinical studies (see <xref ref-type="fig" rid="fig1">Figure 1</xref> for PRISMA flow diagram). Data were extracted for study type, model or patient characteristics, intervention protocol, outcome indicators, and mechanistic findings. Discrepancies were resolved by consensus. Details are provided in <xref ref-type="table" rid="tab1">Tables 1</xref>, <xref ref-type="table" rid="tab2">2</xref>.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>PRISMA flow diagram of literature selection (created with <ext-link xlink:href="http://BioGDP.com" ext-link-type="uri">BioGDP.com</ext-link>).</p>
</caption>
<graphic xlink:href="fneur-17-1744242-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">A mechanistic schematic flowchart illustrating mechanisms by which acupuncture may promote cognitive recovery in post-stroke cognitive impairment (PSCI): acupuncture stimulation activates neurotransmitters and synaptic plasticity, anti-inflammatory and immunomodulatory pathways, antioxidant and anti-apoptotic functions, and BDNF-related pathways, which are either upregulated or downregulated by acupuncture, ultimately supporting cognitive recovery in PSCI.</alt-text>
</graphic>
</fig>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Clinical effects of acupuncture treatment for PSCI.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">References</th>
<th align="left" valign="top">Intervention method</th>
<th align="left" valign="top">Study design</th>
<th align="left" valign="top">Sample size (n)</th>
<th align="left" valign="top">Stroke stage</th>
<th align="left" valign="top">Acupoints</th>
<th align="left" valign="top">Acupuncture parameters</th>
<th align="left" valign="top">Effect measures</th>
<th align="left" valign="top">Outcomes</th>
<th align="left" valign="top">Adverse events</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Dandan et al. (<xref ref-type="bibr" rid="ref49">49</xref>)</td>
<td align="left" valign="top">EA</td>
<td align="left" valign="top">randomized controlled trial</td>
<td align="left" valign="top"><italic>n</italic>&#x202F;=&#x202F;210</td>
<td align="left" valign="top">Subacute (3&#x2013;6&#x202F;months)</td>
<td align="left" valign="top">GB20&#x202F;+&#x202F;GV25&#x202F;+&#x202F;LI20</td>
<td align="left" valign="top">30&#x202F;min<break/>seventimes/week4&#x202F;weeks</td>
<td align="left" valign="top">MoCA<break/>MMSE</td>
<td align="left" valign="top">MoCA&#x2191;<break/>MMSE&#x2191;</td>
<td align="left" valign="top">None reported</td>
</tr>
<tr>
<td align="left" valign="top">Zhong et al. (<xref ref-type="bibr" rid="ref50">50</xref>)</td>
<td align="left" valign="top">SA</td>
<td align="left" valign="top">randomized controlled trial</td>
<td align="left" valign="top"><italic>n</italic>&#x202F;=&#x202F;54</td>
<td align="left" valign="top">Subacute (3&#x2013;6&#x202F;months)</td>
<td align="left" valign="top">GB20&#x202F;+&#x202F;GV20&#x202F;+&#x202F;GB6</td>
<td align="left" valign="top">30&#x202F;min<break/>sixtimes/week<break/>4&#x202F;weeks</td>
<td align="left" valign="top">MoCA<break/>MMSE</td>
<td align="left" valign="top">MoCA&#x2191;<break/>MMSE&#x2191;</td>
<td align="left" valign="top">None reported</td>
</tr>
<tr>
<td align="left" valign="top">Jiao et al. (<xref ref-type="bibr" rid="ref51">51</xref>)</td>
<td align="left" valign="top">SA</td>
<td align="left" valign="top">randomized controlled trial</td>
<td align="left" valign="top"><italic>n</italic>&#x202F;=&#x202F;263</td>
<td align="left" valign="top">not clearly defined</td>
<td align="left" valign="top">DU20&#x202F;+&#x202F;DU24&#x202F;+&#x202F;EX-HN3</td>
<td align="left" valign="top">30&#x202F;min<break/>sixtimes/week<break/>8&#x202F;weeks</td>
<td align="left" valign="top">MoCA<break/>MMSE</td>
<td align="left" valign="top">MoCA&#x2191;<break/>MMSE&#x2191;</td>
<td align="left" valign="top">None reported</td>
</tr>
<tr>
<td align="left" valign="top">Zhang et al. (<xref ref-type="bibr" rid="ref52">52</xref>)</td>
<td align="left" valign="top">IDSA</td>
<td align="left" valign="top">randomized controlled trial</td>
<td align="left" valign="top"><italic>n</italic>&#x202F;=&#x202F;660</td>
<td align="left" valign="top">Subacute (3&#x2013;6&#x202F;months)</td>
<td align="left" valign="top">MS6&#x202F;+&#x202F;GV21&#x202F;+&#x202F;GB6&#x202F;+&#x202F;MS7</td>
<td align="left" valign="top">30&#x202F;min<break/>sixtimes/week<break/>8&#x202F;weeks</td>
<td align="left" valign="top">MMSE<break/>MoCA<break/>HAMD<break/>PSQI</td>
<td align="left" valign="top">MMSE&#x2191;<break/>MoCA&#x2191;<break/>HAMD&#x2191;<break/>PSQI&#x2191;</td>
<td align="left" valign="top">None reported</td>
</tr>
<tr>
<td align="left" valign="top">Zhi et al. (<xref ref-type="bibr" rid="ref53">53</xref>)</td>
<td align="left" valign="top">MA</td>
<td align="left" valign="top">controlled trial</td>
<td align="left" valign="top"><italic>n</italic>&#x202F;=&#x202F;60</td>
<td align="left" valign="top">not clearly defined</td>
<td align="left" valign="top">CV17&#x202F;+&#x202F;CV12&#x202F;+&#x202F;CV6&#x202F;+&#x202F;SP10</td>
<td align="left" valign="top">20&#x202F;min<break/>sixtimes/week<break/>12&#x202F;weeks</td>
<td align="left" valign="top">CD3&#x202F;+&#x202F;T<break/>CD4&#x202F;+&#x202F;T<break/>IFN-&#x03B3;<break/>TNF-&#x03B1;</td>
<td align="left" valign="top">CD3&#x202F;+&#x202F;T&#x2191;<break/>CD4&#x202F;+&#x202F;T&#x2191;<break/>IFN-&#x03B3;&#x2191;<break/>TNF-<italic>&#x03B1;</italic>&#x2193;</td>
<td align="left" valign="top">None reported</td>
</tr>
<tr>
<td align="left" valign="top">Wang et al. (<xref ref-type="bibr" rid="ref54">54</xref>)</td>
<td align="left" valign="top">MA</td>
<td align="left" valign="top">Clinical Trial</td>
<td align="left" valign="top"><italic>n</italic>&#x202F;=&#x202F;37</td>
<td align="left" valign="top">not clearly defined</td>
<td align="left" valign="top">Scalp acupuncture</td>
<td align="left" valign="top">30&#x202F;min,<break/>sixtimes/week<break/>4&#x202F;weeks</td>
<td align="left" valign="top">MoCA<break/>MMSE<break/>ADL</td>
<td align="left" valign="top">MoCA&#x2191;<break/>MMSE&#x2191;<break/>ADL&#x2191;</td>
<td align="left" valign="top">None reported</td>
</tr>
<tr>
<td align="left" valign="top">Yang et al. (<xref ref-type="bibr" rid="ref36">36</xref>)</td>
<td align="left" valign="top">MA</td>
<td align="left" valign="top">randomized controlled trial</td>
<td align="left" valign="top"><italic>n</italic>&#x202F;=&#x202F;216</td>
<td align="left" valign="top">not clearly defined</td>
<td align="left" valign="top">ST36&#x202F;+&#x202F;SP10&#x202F;+&#x202F;CV17&#x202F;+&#x202F;CV12</td>
<td align="left" valign="top">30&#x202F;min<break/>sixtimes/week<break/>12&#x202F;weeks</td>
<td align="left" valign="top">ADAS-cog<break/>CDT<break/>ADL</td>
<td align="left" valign="top">ADAS-cog&#x2191;<break/>CDT&#x2191;<break/>ADL&#x2191;</td>
<td align="left" valign="top">None reported</td>
</tr>
<tr>
<td align="left" valign="top">Shi et al. (<xref ref-type="bibr" rid="ref55">55</xref>)</td>
<td align="left" valign="top">MA</td>
<td align="left" valign="top">randomized controlled trial</td>
<td align="left" valign="top"><italic>n</italic>&#x202F;=&#x202F;68</td>
<td align="left" valign="top">&#x003E;2&#x202F;months</td>
<td align="left" valign="top">GV20&#x202F;+&#x202F;GV24&#x202F;+&#x202F;EX-HN1&#x202F;+&#x202F;CV17</td>
<td align="left" valign="top">30&#x202F;min<break/>sixtimes/week<break/>6&#x202F;weeks</td>
<td align="left" valign="top">MMSE<break/>ADL<break/>DEMQOL</td>
<td align="left" valign="top">MMSE&#x2191;<break/>ADL&#x2191;<break/>DEMQOL&#x2191;</td>
<td align="left" valign="top">None reported</td>
</tr>
<tr>
<td align="left" valign="top">Shi et al. (<xref ref-type="bibr" rid="ref56">56</xref>)</td>
<td align="left" valign="top">MA</td>
<td align="left" valign="top">randomized controlled trial</td>
<td align="left" valign="top"><italic>n</italic> =&#x202F;63</td>
<td align="left" valign="top">Subacute (3&#x2013;6&#x202F;months)</td>
<td align="left" valign="top">GV20&#x202F;+&#x202F;EX-HN1&#x202F;+&#x202F;GV24&#x202F;+&#x202F;CV17</td>
<td align="left" valign="top">30&#x202F;min<break/>sixtimes/week<break/>6&#x202F;weeks</td>
<td align="left" valign="top">SDSVD</td>
<td align="left" valign="top">SDSVD&#x2191;</td>
<td align="left" valign="top">None reported</td>
</tr>
<tr>
<td align="left" valign="top">Feng (<xref ref-type="bibr" rid="ref57">57</xref>)</td>
<td align="left" valign="top">EA</td>
<td align="left" valign="top">randomized controlled trial</td>
<td align="left" valign="top"><italic>n</italic>&#x202F;=&#x202F;72</td>
<td align="left" valign="top">Subacute (3&#x2013;6&#x202F;months)</td>
<td align="left" valign="top">GV24&#x202F;+&#x202F;GB13&#x202F;+&#x202F;EX-B2</td>
<td align="left" valign="top">15&#x202F;min<break/>fivetimes/week<break/>4&#x202F;weeks</td>
<td align="left" valign="top">ADL</td>
<td align="left" valign="top">ADL&#x2191;</td>
<td align="left" valign="top">None reported</td>
</tr>
<tr>
<td align="left" valign="top">Shi et al. (<xref ref-type="bibr" rid="ref58">58</xref>)</td>
<td align="left" valign="top">MA</td>
<td align="left" valign="top">randomized controlled trial</td>
<td align="left" valign="top"><italic>n</italic>&#x202F;=&#x202F;16</td>
<td align="left" valign="top">Subacute (3&#x2013;6&#x202F;months)</td>
<td align="left" valign="top">GV20&#x202F;+&#x202F;GV24&#x202F;+&#x202F;EX-HN1&#x202F;+&#x202F;PC6</td>
<td align="left" valign="top">15&#x202F;min<break/>sixtimes/week<break/>6&#x202F;weeks</td>
<td align="left" valign="top">MMSE<break/>ADL<break/>DEMQOLSDSVD</td>
<td align="left" valign="top">MMSE&#x2191;<break/>ADL&#x2191;<break/>DEMQOL&#x2191;<break/>SDSVD&#x2191;</td>
<td align="left" valign="top">None reported</td>
</tr>
<tr>
<td align="left" valign="top">Chou et al. (<xref ref-type="bibr" rid="ref59">59</xref>)</td>
<td align="left" valign="top">EA</td>
<td align="left" valign="top">randomized controlled trial</td>
<td align="left" valign="top"><italic>n</italic>&#x202F;=&#x202F;33</td>
<td align="left" valign="top">not clearly defined</td>
<td align="left" valign="top">PC6&#x202F;+&#x202F;HT7</td>
<td align="left" valign="top">30&#x202F;min<break/>sixtimes/week<break/>8&#x202F;weeks</td>
<td align="left" valign="top">LOTCA<break/>SF-36<break/>SS-QOL</td>
<td align="left" valign="top">LOTCA&#x2191;<break/>SF-36&#x2191;<break/>SS-QOL&#x2191;</td>
<td align="left" valign="top">None reported</td>
</tr>
<tr>
<td align="left" valign="top">Zhao et al. (<xref ref-type="bibr" rid="ref60">60</xref>)</td>
<td align="left" valign="top">EA</td>
<td align="left" valign="top">randomized controlled trial</td>
<td align="left" valign="top"><italic>n</italic>&#x202F;=&#x202F;90</td>
<td align="left" valign="top">not clearly defined</td>
<td align="left" valign="top">GV20&#x202F;+&#x202F;GV24&#x202F;+&#x202F;EX-HN1</td>
<td align="left" valign="top">30&#x202F;min<break/>fivetimes/week<break/>6&#x202F;weeks</td>
<td align="left" valign="top">MMSE</td>
<td align="left" valign="top">MMSE&#x2191;</td>
<td align="left" valign="top">None reported</td>
</tr>
<tr>
<td align="left" valign="top">Huang et al. (<xref ref-type="bibr" rid="ref61">61</xref>); Huang et al. (<xref ref-type="bibr" rid="ref62">62</xref>)</td>
<td align="left" valign="top">MA</td>
<td align="left" valign="top">Clinical Trial</td>
<td align="left" valign="top"><italic>n</italic>&#x202F;=&#x202F;72</td>
<td align="left" valign="top">not clearly defined</td>
<td align="left" valign="top">LI15&#x202F;+&#x202F;SP10&#x202F;+&#x202F;SJ5&#x202F;+&#x202F;LI4</td>
<td align="left" valign="top">20&#x202F;min<break/>fivetimes/week<break/>4&#x202F;weeks</td>
<td align="left" valign="top">Glucose metabolism</td>
<td align="left" valign="top">Glucose metabolism&#x2191;</td>
<td align="left" valign="top">None reported</td>
</tr>
<tr>
<td align="left" valign="top">Huang et al. (<xref ref-type="bibr" rid="ref61">61</xref>); Huang et al. (<xref ref-type="bibr" rid="ref62">62</xref>)</td>
<td align="left" valign="top">MA</td>
<td align="left" valign="top">randomized controlled trial</td>
<td align="left" valign="top"><italic>n</italic>&#x202F;=&#x202F;50</td>
<td align="left" valign="top">Subacute (3&#x2013;6&#x202F;months)</td>
<td align="left" valign="top">GV20&#x202F;+&#x202F;GV26&#x202F;+&#x202F;HT7</td>
<td align="left" valign="top">20&#x202F;min<break/>fivetimes/week<break/>4&#x202F;weeks</td>
<td align="left" valign="top">MMSE<break/>ADL<break/>FAQ</td>
<td align="left" valign="top">MMSE&#x2191;<break/>ADL&#x2191;<break/>FAQ&#x2191;</td>
<td align="left" valign="top">None reported</td>
</tr>
<tr>
<td align="left" valign="top">Yu et al. (<xref ref-type="bibr" rid="ref63">63</xref>)</td>
<td align="left" valign="top">MA</td>
<td align="left" valign="top">randomized controlled trial</td>
<td align="left" valign="top"><italic>n</italic>&#x202F;=&#x202F;60</td>
<td align="left" valign="top">not clearly defined</td>
<td align="left" valign="top">CV17&#x202F;+&#x202F;CV12&#x202F;+&#x202F;CV6&#x202F;+&#x202F;ST36</td>
<td align="left" valign="top">30&#x202F;min<break/>seventimes/week6&#x202F;weeks</td>
<td align="left" valign="top">MMSE<break/>HDS-R<break/>ADL</td>
<td align="left" valign="top">MMSE&#x2191;<break/>HDS-R&#x2191;<break/>ADL&#x2191;</td>
<td align="left" valign="top">None reported</td>
</tr>
<tr>
<td align="left" valign="top">Lai &#x0026; Huang (<xref ref-type="bibr" rid="ref64">64</xref>)</td>
<td align="left" valign="top">MA</td>
<td align="left" valign="top">randomized controlled trial</td>
<td align="left" valign="top"><italic>n</italic>&#x202F;=&#x202F;50</td>
<td align="left" valign="top">Subacute (3&#x2013;6&#x202F;months)</td>
<td align="left" valign="top">LI15&#x202F;+&#x202F;LI11&#x202F;+&#x202F;SJ5</td>
<td align="left" valign="top">20&#x202F;min<break/>fivetimes/week<break/>4&#x202F;weeks</td>
<td align="left" valign="top">HDS-R<break/>ADL<break/>FAQ</td>
<td align="left" valign="top">HDS-R&#x2191;<break/>ADL&#x2191;<break/>FAQ&#x2191;</td>
<td align="left" valign="top">None reported</td>
</tr>
<tr>
<td align="left" valign="top">Liu (<xref ref-type="bibr" rid="ref65">65</xref>)</td>
<td align="left" valign="top">MA</td>
<td align="left" valign="top">Clinical Trial</td>
<td align="left" valign="top"><italic>n</italic>&#x202F;=&#x202F;42</td>
<td align="left" valign="top">not clearly defined</td>
<td align="left" valign="top">GV20&#x202F;+&#x202F;GV24&#x202F;+&#x202F;GB13</td>
<td align="left" valign="top">30&#x202F;min<break/>fivetimes/week<break/>8&#x202F;weeks</td>
<td align="left" valign="top">TC&#x202F;+&#x202F;TG&#x202F;+&#x202F;LDL<break/>ApoA1<break/>ApoB100</td>
<td align="left" valign="top">TC&#x202F;+&#x202F;TG&#x202F;+&#x202F;LDL&#x2193;<break/>ApoA1&#x2191;<break/>ApoB100&#x2193;</td>
<td align="left" valign="top">None reported</td>
</tr>
<tr>
<td align="left" valign="top">Chen (<xref ref-type="bibr" rid="ref66">66</xref>)</td>
<td align="left" valign="top">MA</td>
<td align="left" valign="top">Clinical Trial</td>
<td align="left" valign="top"><italic>n</italic>&#x202F;=&#x202F;32</td>
<td align="left" valign="top">not clearly defined</td>
<td align="left" valign="top">GV20&#x202F;+&#x202F;GV16&#x202F;+&#x202F;GV26&#x202F;+&#x202F;LI11</td>
<td align="left" valign="top">30&#x202F;min<break/>fiveimes/week<break/>8&#x202F;weeks</td>
<td align="left" valign="top">CCSE<break/>FAQ</td>
<td align="left" valign="top">CCSE&#x2193;<break/>FAQ&#x2193;</td>
<td align="left" valign="top">None reported</td>
</tr>
<tr>
<td align="left" valign="top">Gao et al. (<xref ref-type="bibr" rid="ref67">67</xref>)</td>
<td align="left" valign="top">MA</td>
<td align="left" valign="top">randomized controlled trial</td>
<td align="left" valign="top"><italic>n</italic>&#x202F;=&#x202F;63</td>
<td align="left" valign="top">not clearly defined</td>
<td align="left" valign="top">GV26&#x202F;+&#x202F;PC6&#x202F;+&#x202F;SP6</td>
<td align="left" valign="top">15&#x202F;min<break/>5times/week<break/>8&#x202F;weeks</td>
<td align="left" valign="top">HDS<break/>P300<break/>SOD<break/>LPO</td>
<td align="left" valign="top">HDS&#x2191;<break/>P300&#x2193;<break/>SOD&#x2191;<break/>LPO&#x2193;</td>
<td align="left" valign="top">None reported</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>&#x2191;, upregulated by acupuncture; &#x2193;, downregulated by acupuncture.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Effects and mechanisms of acupuncture treating PSCI.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">References</th>
<th align="left" valign="top">Models</th>
<th align="left" valign="top">Intervention methods</th>
<th align="left" valign="top">Acupoints</th>
<th align="left" valign="top">Acupuncture parameters</th>
<th align="left" valign="top">Effect measures</th>
<th align="left" valign="top">Biochemical measurements</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Zhang et al. (<xref ref-type="bibr" rid="ref15">15</xref>)</td>
<td align="left" valign="top">MCAO/R</td>
<td align="left" valign="top">EA</td>
<td align="left" valign="top"><bold>-</bold></td>
<td align="left" valign="top">30&#x202F;min<break/>fiveimes/week<break/>2&#x202F;weeks</td>
<td align="left" valign="top">Zea-Longa neurological deficitscore<break/>OFT<break/>NORT</td>
<td align="left" valign="top">IL-33&#x2191;<break/>TNF-&#x03B1;&#x2193;<break/>IL-1&#x03B2;&#x2193;<break/>IL-6&#x2193;<break/>M2microglial polarization&#x2191;</td>
</tr>
<tr>
<td align="left" valign="top">Chen et al. (<xref ref-type="bibr" rid="ref16">16</xref>)</td>
<td align="left" valign="top">MCAO/R</td>
<td align="left" valign="top">EA</td>
<td align="left" valign="top">GV24&#x202F;+&#x202F;GV20</td>
<td align="left" valign="top">30&#x202F;min<break/>Sixtimes/week<break/>2&#x202F;weeks</td>
<td align="left" valign="top">SIRT1<break/>PGC-1&#x03B1;<break/>OPA1<break/>DRP1</td>
<td align="left" valign="top">SIRT1&#x2191;<break/>PGC-1&#x03B1;&#x2191;<break/>OPA1&#x2191;<break/>DRP1 &#x2193;</td>
</tr>
<tr>
<td align="left" valign="top">Zhang et al. (<xref ref-type="bibr" rid="ref12">12</xref>)</td>
<td align="left" valign="top">MCAO</td>
<td align="left" valign="top">EA</td>
<td align="left" valign="top">DU20&#x202F;+&#x202F;EX-HN3</td>
<td align="left" valign="top">20&#x202F;min<break/>Sixtimes/week<break/>4&#x202F;weeks</td>
<td align="left" valign="top">MWM<break/>GluA1Syp<break/>Syt-1</td>
<td align="left" valign="top">GluA1&#x2191;<break/>Syp&#x2191;<break/>Syt-1 &#x2191;</td>
</tr>
<tr>
<td align="left" valign="top">Sa et al. (<xref ref-type="bibr" rid="ref21">21</xref>)</td>
<td align="left" valign="top">MCAO</td>
<td align="left" valign="top">EA</td>
<td align="left" valign="top">GV24&#x202F;+&#x202F;GV20</td>
<td align="left" valign="top">1&#x202F;weeks</td>
<td align="left" valign="top">Neurological deficit</td>
<td align="left" valign="top">Hspb1&#x2191;</td>
</tr>
<tr>
<td align="left" valign="top">Qiuping et al. (<xref ref-type="bibr" rid="ref22">22</xref>)</td>
<td align="left" valign="top">BCCAO</td>
<td align="left" valign="top">EA</td>
<td align="left" valign="top">CV17&#x202F;+&#x202F;CV12 +&#x202F;ST36</td>
<td align="left" valign="top">30&#x202F;min<break/>fivetimes/week<break/>1&#x202F;weeks</td>
<td align="left" valign="top">MWM</td>
<td align="left" valign="top">Th17 cells&#x2193;<break/>Treg cell&#x2191;<break/>RORcells&#x2193;<break/>CD4FoxP3cells&#x2191;<break/>FoxP3 cells&#x2191;</td>
</tr>
<tr>
<td align="left" valign="top">Liu et al. (<xref ref-type="bibr" rid="ref4">4</xref>), Liu et al. (<xref ref-type="bibr" rid="ref5">5</xref>)</td>
<td align="left" valign="top">BCCAO</td>
<td align="left" valign="top">EA</td>
<td align="left" valign="top">GV20&#x202F;+&#x202F;BL17 +&#x202F;BL23</td>
<td align="left" valign="top">30&#x202F;min<break/>fivetimes/week<break/>1&#x202F;weeks</td>
<td align="left" valign="top">MWM</td>
<td align="left" valign="top">Bcl-2&#x2191;<break/>AP-1&#x2193;<break/>p53&#x2193;<break/>JNK&#x2193;<break/>Caspase-3&#x2193;</td>
</tr>
<tr>
<td align="left" valign="top">Zhao et al. (<xref ref-type="bibr" rid="ref23">23</xref>)</td>
<td align="left" valign="top">BCCAO</td>
<td align="left" valign="top">EA</td>
<td align="left" valign="top">ST36&#x202F;+&#x202F;GV20</td>
<td align="left" valign="top">-</td>
<td align="left" valign="top">MWM</td>
<td align="left" valign="top">Sirt1&#x2191;<break/>STAT3&#x2193;<break/>IL-17&#x2193;</td>
</tr>
<tr>
<td align="left" valign="top">Bu et al. (<xref ref-type="bibr" rid="ref42">42</xref>)</td>
<td align="left" valign="top">4VO</td>
<td align="left" valign="top">EA</td>
<td align="left" valign="top">GV20&#x202F;+&#x202F;CV17 +&#x202F;BL17</td>
<td align="left" valign="top">30&#x202F;min<break/>fivetimes/week<break/>3&#x202F;weeks</td>
<td align="left" valign="top">MWM</td>
<td align="left" valign="top">IL-6&#x2193;<break/>TNF-&#x03B1;&#x2193;<break/>TLR4&#x2193;<break/>MyD88&#x2193;</td>
</tr>
<tr>
<td align="left" valign="top">Dai et al. (<xref ref-type="bibr" rid="ref24">24</xref>)</td>
<td align="left" valign="top">BCCAO</td>
<td align="left" valign="top">EA</td>
<td align="left" valign="top">GV20&#x202F;+&#x202F;GV24</td>
<td align="left" valign="top">30&#x202F;min<break/>fivetimes/week<break/>4&#x202F;weeks</td>
<td align="left" valign="top">NORT<break/>MWM</td>
<td align="left" valign="top">p-NMDAR2B p-GluR1&#x2191;<break/>p-CaMKII&#x2191;</td>
</tr>
<tr>
<td align="left" valign="top">Ma et al. (<xref ref-type="bibr" rid="ref38">38</xref>)</td>
<td align="left" valign="top">BCCAO</td>
<td align="left" valign="top">EA</td>
<td align="left" valign="top">GV20&#x202F;+&#x202F;GV24</td>
<td align="left" valign="top">30&#x202F;min<break/>fivetimes/week<break/>3&#x202F;weeks</td>
<td align="left" valign="top">MWM</td>
<td align="left" valign="top">miR-81&#x2191;<break/>IL-16&#x2193;<break/>PSD-95&#x2191;</td>
</tr>
<tr>
<td align="left" valign="top">Pan et al. (<xref ref-type="bibr" rid="ref13">13</xref>)</td>
<td align="left" valign="top">BCCAO</td>
<td align="left" valign="top">EA</td>
<td align="left" valign="top">CV17&#x202F;+&#x202F;CV12 +&#x202F;CV6&#x202F;+&#x202F;ST36</td>
<td align="left" valign="top">30&#x202F;min<break/>fivetimes/week<break/>3&#x202F;weeks</td>
<td align="left" valign="top">MWM</td>
<td align="left" valign="top">IL-1&#x03B2;&#x2193;<break/>IL-2&#x2193;<break/>TNF-&#x03B1;&#x2193;<break/>COX-2&#x2193;<break/>IL-4&#x2191;</td>
</tr>
<tr>
<td align="left" valign="top">Wang et al. (<xref ref-type="bibr" rid="ref11">11</xref>)</td>
<td align="left" valign="top">MCAO</td>
<td align="left" valign="top">EA</td>
<td align="left" valign="top">GV20&#x202F;+&#x202F;GV24</td>
<td align="left" valign="top">30&#x202F;min<break/>sixtimes/week<break/>1&#x202F;weeks</td>
<td align="left" valign="top">MWM</td>
<td align="left" valign="top">Beclin-1&#x2191;<break/>mTOR&#x2191;<break/>PI3K&#x2191;<break/>p-Akt&#x2191;<break/>p-Beclin-1&#x2191;<break/>p-PI3K&#x2191;</td>
</tr>
<tr>
<td align="left" valign="top">Wang et al. (<xref ref-type="bibr" rid="ref11">11</xref>)</td>
<td align="left" valign="top">MCAO</td>
<td align="left" valign="top">EA</td>
<td align="left" valign="top">GV2&#x202F;+&#x202F;BL17 +&#x202F;BL20&#x202F;+&#x202F;BL23</td>
<td align="left" valign="top">15&#x202F;min<break/>sixtimes/week<break/>2&#x202F;weeks</td>
<td align="left" valign="top">MWM</td>
<td align="left" valign="top">AVP&#x2191;<break/>SS&#x2191;<break/>&#x03B2;-EP&#x2191;</td>
</tr>
<tr>
<td align="left" valign="top">Ma et al. (<xref ref-type="bibr" rid="ref33">33</xref>)</td>
<td align="left" valign="top">BCCAO</td>
<td align="left" valign="top">MA</td>
<td align="left" valign="top">GV20&#x202F;+&#x202F;ST36</td>
<td align="left" valign="top">15&#x202F;min<break/>sixtimes/week<break/>2&#x202F;weeks</td>
<td align="left" valign="top">NORT, MWM</td>
<td align="left" valign="top">CBF&#x2191;<break/>IL-1&#x03B2;&#x2193;<break/>IL-6&#x2193;</td>
</tr>
<tr>
<td align="left" valign="top">Wang et al. (<xref ref-type="bibr" rid="ref68">68</xref>), Wang et al. (<xref ref-type="bibr" rid="ref54">54</xref>)</td>
<td align="left" valign="top">BCCAO</td>
<td align="left" valign="top">MA</td>
<td align="left" valign="top">ST36&#x202F;+&#x202F;GV20</td>
<td align="left" valign="top">15&#x202F;min<break/>sixtimes/week<break/>2&#x202F;weeks</td>
<td align="left" valign="top">MWM</td>
<td align="left" valign="top">IL-6&#x2193;<break/>TNF-&#x03B1;&#x2193;<break/>TLR4&#x2193;<break/>MyD88&#x2193;<break/>p-NF-&#x03BA;B p65&#x2193;</td>
</tr>
<tr>
<td align="left" valign="top">Yang et al. (<xref ref-type="bibr" rid="ref34">34</xref>)</td>
<td align="left" valign="top">BCCAO</td>
<td align="left" valign="top">MA</td>
<td align="left" valign="top">ST36&#x202F;+&#x202F;GV20</td>
<td align="left" valign="top">15&#x202F;min<break/>fivetimes/week<break/>2&#x202F;weeks</td>
<td align="left" valign="top">MWM</td>
<td align="left" valign="top">Neuronal damage&#x2191;</td>
</tr>
<tr>
<td align="left" valign="top">Yang et al. (<xref ref-type="bibr" rid="ref36">36</xref>), Yang et al. (<xref ref-type="bibr" rid="ref37">37</xref>)</td>
<td align="left" valign="top">CMi</td>
<td align="left" valign="top">MA</td>
<td align="left" valign="top">ST36</td>
<td align="left" valign="top">30&#x202F;min<break/>sixtimes/week<break/>3&#x202F;weeks</td>
<td align="left" valign="top">MWM</td>
<td align="left" valign="top">NF-kB&#x2193;<break/>NF-kB p65<break/>p53&#x2193;<break/>Ca2+, ROS&#x2193;</td>
</tr>
<tr>
<td align="left" valign="top">Zhu et al. (<xref ref-type="bibr" rid="ref14">14</xref>)</td>
<td align="left" valign="top">BCCAO</td>
<td align="left" valign="top">MA</td>
<td align="left" valign="top">GV20&#x202F;+&#x202F;ST36</td>
<td align="left" valign="top">30&#x202F;min<break/>fivetimes/week<break/>2&#x202F;weeks</td>
<td align="left" valign="top">MWM</td>
<td align="left" valign="top">Trx-1&#x2193;<break/>TrxR-1&#x2193;<break/>pASK1&#x2193;<break/>pJNK&#x2193;<break/>p38&#x2193;</td>
</tr>
<tr>
<td align="left" valign="top">Du et al. (<xref ref-type="bibr" rid="ref69">69</xref>)</td>
<td align="left" valign="top">BCCAO</td>
<td align="left" valign="top">MA</td>
<td align="left" valign="top">GV20&#x202F;+&#x202F;ST36</td>
<td align="left" valign="top">15&#x202F;min<break/>fivetimes/week<break/>4&#x202F;weeks</td>
<td align="left" valign="top">MWM</td>
<td align="left" valign="top">TXNIP&#x2193;</td>
</tr>
<tr>
<td align="left" valign="top">Yang et al. (<xref ref-type="bibr" rid="ref10">10</xref>)</td>
<td align="left" valign="top">BCCAO</td>
<td align="left" valign="top">EA</td>
<td align="left" valign="top">ST36&#x202F;+&#x202F;GV20</td>
<td align="left" valign="top">15&#x202F;min<break/>fivetimes/week<break/>2&#x202F;weeks</td>
<td align="left" valign="top">MWM</td>
<td align="left" valign="top">ROS&#x2193;<break/>LTP&#x2191;</td>
</tr>
<tr>
<td align="left" valign="top">Xiao et al. (<xref ref-type="bibr" rid="ref70">70</xref>)</td>
<td align="left" valign="top">BCCAO</td>
<td align="left" valign="top">MA</td>
<td align="left" valign="top">ST36&#x202F;+&#x202F;GV20</td>
<td align="left" valign="top">30&#x202F;min<break/>sixtimes/week<break/>4&#x202F;weeks</td>
<td align="left" valign="top">MWM</td>
<td align="left" valign="top">LTP&#x2191;&#x03B2;1-AR&#x2191;<break/>NE&#x2191;</td>
</tr>
<tr>
<td align="left" valign="top">Ye et al. (<xref ref-type="bibr" rid="ref35">35</xref>)</td>
<td align="left" valign="top">BCCAO</td>
<td align="left" valign="top">MA</td>
<td align="left" valign="top">ST36&#x202F;+&#x202F;GV20</td>
<td align="left" valign="top">30&#x202F;min<break/>sixtimes/week<break/>2&#x202F;weeks</td>
<td align="left" valign="top">MWM</td>
<td align="left" valign="top">DA&#x2191;<break/>epinephrine&#x2191;<break/>HVA&#x2191;<break/>D1R&#x2191;<break/>D5R&#x2191;</td>
</tr>
<tr>
<td align="left" valign="top">Li et al. (<xref ref-type="bibr" rid="ref32">32</xref>)</td>
<td align="left" valign="top">BCCAO</td>
<td align="left" valign="top">MA</td>
<td align="left" valign="top">GV20&#x202F;+&#x202F;ST36</td>
<td align="left" valign="top">15&#x202F;min<break/>sixtimes/week<break/>3&#x202F;weeks</td>
<td align="left" valign="top">MWM</td>
<td align="left" valign="top">Mitochondrial respiratory complexenzymes (complex I, II, IV)&#x2191;<break/>cytochrome coxidase IV&#x2191;<break/>ROS&#x2193;</td>
</tr>
<tr>
<td align="left" valign="top">Yang et al. (<xref ref-type="bibr" rid="ref71">71</xref>)</td>
<td align="left" valign="top">BCCAO</td>
<td align="left" valign="top">EA</td>
<td align="left" valign="top">GV20&#x202F;+&#x202F;KI3</td>
<td align="left" valign="top">30&#x202F;min<break/>fivetimes/week<break/>3&#x202F;weeks</td>
<td align="left" valign="top">Y-Maze Task</td>
<td align="left" valign="top">Iba-1&#x2193;<break/>TLR4&#x2193;<break/>TNF-&#x03B1;&#x2193;<break/>pERK&#x2191;<break/>glucosemetabolism&#x2191;</td>
</tr>
<tr>
<td align="left" valign="top">Zhang et al. (<xref ref-type="bibr" rid="ref39">39</xref>)</td>
<td align="left" valign="top">MCAO</td>
<td align="left" valign="top">EA</td>
<td align="left" valign="top">GV20&#x202F;+&#x202F;GV24</td>
<td align="left" valign="top">30&#x202F;min<break/>sixtimes/week<break/>1&#x202F;weeks</td>
<td align="left" valign="top">Step-down avoidance test</td>
<td align="left" valign="top">CaM&#x2193;<break/>CaMKIV&#x2191;<break/>p-CaMKIV&#x2191;<break/>CREB&#x2191;<break/>p-CREB&#x2191;</td>
</tr>
<tr>
<td align="left" valign="top">Liu et al. (<xref ref-type="bibr" rid="ref40">40</xref>)</td>
<td align="left" valign="top">MCAO</td>
<td align="left" valign="top">EA</td>
<td align="left" valign="top">GV20&#x202F;+&#x202F;GV24</td>
<td align="left" valign="top">15&#x202F;min<break/>sixtimes/week<break/>2&#x202F;weeks</td>
<td align="left" valign="top">Neurological deficitscores, MWM</td>
<td align="left" valign="top">Bcl-2&#x2191;<break/>Bax&#x2193;<break/>neuronal apoptosis&#x2193;</td>
</tr>
<tr>
<td align="left" valign="top">Li et al. (<xref ref-type="bibr" rid="ref84">84</xref>)</td>
<td align="left" valign="top">CMi</td>
<td align="left" valign="top">MA</td>
<td align="left" valign="top">ST36</td>
<td align="left" valign="top">20&#x202F;min<break/>sixtimes/week<break/>4&#x202F;weeks</td>
<td align="left" valign="top">MWM</td>
<td align="left" valign="top">Pyramidal neurons&#x2191;<break/>astrocytes&#x2193;</td>
</tr>
<tr>
<td align="left" valign="top">Li et al. (<xref ref-type="bibr" rid="ref48">48</xref>)</td>
<td align="left" valign="top">CMi</td>
<td align="left" valign="top">MA</td>
<td align="left" valign="top">ST36</td>
<td align="left" valign="top">15&#x202F;min<break/>fivetimes/week<break/>2&#x202F;weeks</td>
<td align="left" valign="top">MWM</td>
<td align="left" valign="top">cAMP concentration&#x2191;<break/>PKAactivity&#x2191;<break/>pCREB&#x2191;<break/>pERK&#x2191;</td>
</tr>
<tr>
<td align="left" valign="top">Yang et al. (<xref ref-type="bibr" rid="ref72">72</xref>)</td>
<td align="left" valign="top">BCCAO</td>
<td align="left" valign="top">MA</td>
<td align="left" valign="top">GV2&#x202F;+&#x202F;GV21 +&#x202F;GV22&#x202F;+&#x202F;GV24</td>
<td align="left" valign="top">15&#x202F;min<break/>sixtimes/week<break/>4&#x202F;weeks</td>
<td align="left" valign="top">MWM</td>
<td align="left" valign="top">ACh&#x2191;<break/>DA&#x2191;<break/>5-HT&#x2191;</td>
</tr>
<tr>
<td align="left" valign="top">Zhang et al. (<xref ref-type="bibr" rid="ref41">41</xref>)</td>
<td align="left" valign="top">CMi</td>
<td align="left" valign="top">MA</td>
<td align="left" valign="top">CV17&#x202F;+&#x202F;CV12 +&#x202F;CV6&#x202F;+&#x202F;ST36</td>
<td align="left" valign="top">30&#x202F;min<break/>sixtimes/week<break/>3&#x202F;weeks</td>
<td align="left" valign="top">MWM</td>
<td align="left" valign="top">CBF&#x2191;<break/>SOD&#x2191;<break/>CuZnSOD&#x2191;<break/>MnSOD&#x2191;<break/>MDA&#x2193;</td>
</tr>
<tr>
<td align="left" valign="top">Zhu et al. (<xref ref-type="bibr" rid="ref73">73</xref>)</td>
<td align="left" valign="top">BCCAO</td>
<td align="left" valign="top">EA</td>
<td align="left" valign="top">GV20&#x202F;+&#x202F;GV14 +&#x202F;BL23</td>
<td align="left" valign="top">20&#x202F;min<break/>sixtimes/week<break/>4&#x202F;weeks</td>
<td align="left" valign="top">MWM</td>
<td align="left" valign="top">mTOR&#x2191;<break/>eIF4E&#x2191;</td>
</tr>
<tr>
<td align="left" valign="top">Feng et al. (<xref ref-type="bibr" rid="ref74">74</xref>)</td>
<td align="left" valign="top">MCAO</td>
<td align="left" valign="top">EA</td>
<td align="left" valign="top">GV20&#x202F;+&#x202F;GV24</td>
<td align="left" valign="top">15&#x202F;min<break/>sixtimes/week<break/>1&#x202F;weeks</td>
<td align="left" valign="top">MWM</td>
<td align="left" valign="top">NF-&#x03BA;B&#x2193;<break/>neurons&#x2191;</td>
</tr>
<tr>
<td align="left" valign="top">Zhu et al. (<xref ref-type="bibr" rid="ref75">75</xref>)</td>
<td align="left" valign="top">BCCAO</td>
<td align="left" valign="top">EA</td>
<td align="left" valign="top">GV20&#x202F;+&#x202F;GV14&#x202F;+&#x202F;BL23</td>
<td align="left" valign="top">20&#x202F;min<break/>sixtimes/week<break/>4&#x202F;weeks</td>
<td align="left" valign="top">MWM</td>
<td align="left" valign="top">p70S6&#x2191;<break/>ribosome protein S6&#x2191;</td>
</tr>
<tr>
<td align="left" valign="top">He (<xref ref-type="bibr" rid="ref76">76</xref>)</td>
<td align="left" valign="top">4VO</td>
<td align="left" valign="top">EA</td>
<td align="left" valign="top">HT9&#x202F;+&#x202F;PC9&#x202F;+&#x202F;KI1</td>
<td align="left" valign="top">30&#x202F;min<break/>sixtimes/week<break/>2&#x202F;weeks</td>
<td align="left" valign="top">MWM</td>
<td align="left" valign="top">NO&#x2193;<break/>SOD&#x2191;</td>
</tr>
<tr>
<td align="left" valign="top">Zhao et al. (<xref ref-type="bibr" rid="ref77">77</xref>)</td>
<td align="left" valign="top">CMi</td>
<td align="left" valign="top">MA</td>
<td align="left" valign="top">CV17&#x202F;+&#x202F;CV12 +&#x202F;CV6&#x202F;+&#x202F;ST36</td>
<td align="left" valign="top">20&#x202F;min<break/>sixtimes/week<break/>3&#x202F;weeks</td>
<td align="left" valign="top">MWM</td>
<td align="left" valign="top">Hexokinase&#x2191;<break/>pyruvate kinase&#x2191;<break/>glucose6phosphatedehydrogenase&#x2191;</td>
</tr>
<tr>
<td align="left" valign="top">Zhu &#x0026; Zeng (<xref ref-type="bibr" rid="ref78">78</xref>)</td>
<td align="left" valign="top">BCCAO</td>
<td align="left" valign="top">EA</td>
<td align="left" valign="top">GV20&#x202F;+&#x202F;GV24 +&#x202F;BL23</td>
<td align="left" valign="top">20&#x202F;min<break/>sixtimes/week<break/>2&#x202F;weeks</td>
<td align="left" valign="top">MWM</td>
<td align="left" valign="top">Pyramidal neurons&#x2191;<break/>p53&#x2193;<break/>Noxa&#x2193;</td>
</tr>
<tr>
<td align="left" valign="top">Lin &#x0026; Hsieh (<xref ref-type="bibr" rid="ref79">79</xref>)</td>
<td align="left" valign="top">MCAO</td>
<td align="left" valign="top">EA</td>
<td align="left" valign="top">GV20</td>
<td align="left" valign="top">20&#x202F;min<break/>fivetimes/week<break/>2&#x202F;weeks</td>
<td align="left" valign="top">Behavior deficit score(18-point scale)</td>
<td align="left" valign="top">LTP&#x2191;<break/>NMDAR1&#x2193;<break/>TRPV1&#x2193;</td>
</tr>
<tr>
<td align="left" valign="top">Wang et al. (<xref ref-type="bibr" rid="ref80">80</xref>)</td>
<td align="left" valign="top">CMi</td>
<td align="left" valign="top">MA</td>
<td align="left" valign="top">CV17&#x202F;+&#x202F;CV12 +&#x202F;CV6&#x202F;+&#x202F;ST36</td>
<td align="left" valign="top">20&#x202F;min<break/>sixtimes/week<break/>2&#x202F;weeks</td>
<td align="left" valign="top">MWM</td>
<td align="left" valign="top">Bcl-2&#x2191;<break/>Bax&#x2193;<break/>neuronal apoptosis&#x2193;</td>
</tr>
<tr>
<td align="left" valign="top">Zhu et al. (<xref ref-type="bibr" rid="ref81">81</xref>)</td>
<td align="left" valign="top">BCCAO</td>
<td align="left" valign="top">EA</td>
<td align="left" valign="top">GV20&#x202F;+&#x202F;GV24&#x202F;+&#x202F;BL23</td>
<td align="left" valign="top">20&#x202F;min<break/>sixtimes/week<break/>4&#x202F;weeks</td>
<td align="left" valign="top">MWM</td>
<td align="left" valign="top">Neurons&#x2191;<break/>Caspase-3&#x2193;<break/>Noxa&#x2193;</td>
</tr>
<tr>
<td align="left" valign="top">Yu et al. (<xref ref-type="bibr" rid="ref82">82</xref>)</td>
<td align="left" valign="top">CMi</td>
<td align="left" valign="top">MA</td>
<td align="left" valign="top">CV17&#x202F;+&#x202F;CV12 +&#x202F;CV6&#x202F;+&#x202F;ST36</td>
<td align="left" valign="top">15&#x202F;min<break/>sixtimes/week<break/>3&#x202F;weeks</td>
<td align="left" valign="top">MWM</td>
<td align="left" valign="top">Escape latency&#x2193;</td>
</tr>
<tr>
<td align="left" valign="top">Wang et al. (<xref ref-type="bibr" rid="ref83">83</xref>)</td>
<td align="left" valign="top">4VO</td>
<td align="left" valign="top">EA</td>
<td align="left" valign="top">GV20&#x202F;+&#x202F;GV14</td>
<td align="left" valign="top">20&#x202F;min<break/>fivetimes/week<break/>2&#x202F;weeks</td>
<td align="left" valign="top">MWM</td>
<td align="left" valign="top">NO&#x2193;<break/>MDA&#x2193;<break/>NOS&#x2193;<break/>SOD&#x2191;<break/>GSH-Px&#x2191;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>&#x2191;, upregulated by acupuncture; &#x2193;, downregulated by acupuncture. This table summarizes mechanistic evidence derived from experimental models relevant to post-stroke cognitive impairment (PSCI), including BCCAO, 4VO, CMi, and MCAO/R models. These models represent distinct pathological trajectories and temporal profiles of neuroinflammation and neurodegeneration. IDSA, interactive dynamic scalp acupuncture; MCAO, middle cerebral artery occlusion; MCAO/R, MCAO with reperfusion; BCCAO, bilateral common carotid artery occlusion; 4VO, modified 4-vessel occlusion; CMi, cerebral multi-infarction; GB20, Fengchi; GV24, Shenting; LI20Ying xiang; GV20, Baihui; GB6, xuanli; DU20, Baihui; EX-HN3, yintangGV14, Dazhui; GV16, FengfuBL11dazhu; MS6, dingnieqianxiexian; GV21, Qianding; MS7, dingniehouxiexian; CV17, Danzhong; CV12, zhongwan; CV6, Qihai; SP10, Xuehai; ST36, Zu San Li; EX-HN1, sishencon; PC6, neiguan; GB13, Benshen; EX-B2, jiaji; HT7, Shenmen; LI15, Jianyu; SJ5, waiguan; LI4, Hegu; SP6, SanYinJiao; LR3 TaiChon; GV26, Shuigou; LI11, Quchi; BL17, Geshu; BL23, Shenshu; KI3, Taixi; GV22, Xinhui; HT9, shaochong; PC9 Zhong chong; KL1, Yongquan; BL20, Pishu; SDSVD, scale of differentiation of syndromes of vascular dementia; HAMD, Hamilton Depression Scale; PSQI, Pittsburgh Sleep Quality Index; ADL, Activities of Daily Living Scale; SDS, Self-rating Depression Scale; SDSVD, scale of differentiation of syndromes of vascular dementia; FAQ, Functional activities Questionnaire; HDS-R, Hasegawa&#x2019;s dementia scale; SF-36, 36-item short-form health survey; SS-QOL, Stroke-Specific Quality of Life Scale; SOD, suoeroxide dismutase; LOP, lipidperoxide; NDS, neurologic deficit soring; IS, ischemicstroke; ICH, intracerebralhemorrhage; TEAS, transcutaneous acupoint electrical stimulation; Bcl-2, B-cell lymphoma 2; NF-&#x03BA;B, nuclear factors-&#x03BA;B; PSD-95, postsynaptic density protein-95; LTP, long-term potentiation; LTD, long-term depression; NE, norepinephrine; AR, adrenergic receptor; TRPV1, transient receptor potential vanilloid subtype 1; NMDA, N-methyl-d-aspartate; CMi, cerebral multi-infarction; NMDAR, N-methyl-d-aspartate receptor; CaM, calmodulin; CaMKIV, calmodulin-dependent protein kinase type IV; CREB, cyclic adenosine monophosphateresponse elements binding protein; AMPARs, &#x03B1;-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptors; mTOR, mammalian target of rapamycin; p70S6, p70 ribosomal protein S6; eIF4E, eukaryotic translation initiation factor 4E; DA, dopamine; HVA, homovanillic acid; PP, perforant pathway; DG, dentategyrus; Ach, acetylcholine; 5-HT, 5-hydroxytryptamine; TLRs, Toll like receptors; PAMPs, pathogen associated molecule pattern; DAMPs, damage associated molecular patterns; MyD88, bonemarrow differentiation factor 88; Hspb1, heat-shock protein&#x03B2;1; pERK, phospho-extracellular signal-regulated kinase; Sirt1, sirtuin1; STAT3, signal transducer and activator of transcription3; CBF, cerebral bloodflow; DTI, diffusion tensor imaging; RNS, reactive nitrogen; ROS, reactive oxygen species; NO, nitric oxide; MDA, malondialdehyde; NOS, NO synthase; GSH-Px, glutathione peroxidase; MID, multi-infarct dementia; GSSG, oxidized glutathione; RCI, respiratory control index; TXNIP, thioredoxin-interacting protein; Trx, thioredoxin.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec3">
<label>3</label>
<title>Mechanistic advances in acupuncture for PSCI</title>
<sec id="sec4">
<label>3.1</label>
<title>Regulation of neurotransmitters and synaptic plasticity</title>
<p>Acupuncture modulates the balance of excitatory and inhibitory neurotransmission disrupted after stroke, serving as the initial molecular trigger of a multi-level neurorepair cascade. The maintenance of cognitive function relies heavily on intact synaptic connectivity and the efficient transmission of information between neurons within neural circuits (<xref ref-type="bibr" rid="ref15">15</xref>). Homeostatic regulation of neurotransmitter systems and dynamic modulation of synaptic plasticity are essential for higher-order cognitive processes, including attention, learning, and memory. Following stroke, disturbances in neurotransmitter signaling and structural damage to synapses represent key mechanisms underlying PSCI (<xref ref-type="bibr" rid="ref16">16</xref>). These changes disrupt excitatory-inhibitory balance, impair synaptic integration, and reduce cognitive reserve. A growing body of evidence indicates that acupuncture can restore neurotransmitter homeostasis and enhance synaptic plasticity via multiple molecular pathways, ultimately contributing to improved cognitive outcomes after stroke (<xref ref-type="bibr" rid="ref12">12</xref>). ACh is a key neurotransmitter in the central nervous system, primarily synthesized and released by cholinergic neurons. These neurons are predominantly located in the basal forebrain and project to critical cognitive regions such as the hippocampus, neocortex, and brainstem (<xref ref-type="bibr" rid="ref17">17</xref>). Through extensive synaptic connections, cholinergic circuits support essential cognitive processes, including memory encoding, learning, and attention regulation. ACh plays a central role in maintaining cortical arousal and attentional modulation via the ascending reticular activating system (ARAS) of the brainstem. Disruption of ACh signaling&#x2014;particularly in the cortex and hippocampus&#x2014;has been implicated in deficits in spatial learning, memory consolidation, and overall cognitive decline following stroke (<xref ref-type="bibr" rid="ref8">8</xref>). DA, a catecholaminergic neurotransmitter, plays a critical role in regulating cognition, particularly in domains such as motivation, working memory, and executive function. Stroke-induced degeneration of dopaminergic neurons, particularly in the mesocortical and mesolimbic pathways, has been linked to deficits in attention, executive processing, and reward-based learning (<xref ref-type="bibr" rid="ref18">18</xref>). NE, predominantly released by neurons in the locus coeruleus, contributes to the modulation of arousal, attention, learning, and memory consolidation. Disruption of noradrenergic pathways following stroke may impair cortical activation and reduce the brain&#x2019;s capacity for attentional control, thereby exacerbating cognitive impairment (<xref ref-type="bibr" rid="ref19">19</xref>). 5-HTsynthesized in the raphe nuclei, is another key monoaminergic neurotransmitter that regulates not only mood and emotional stability, but also spatial learning, memory encoding, and circadian rhythm (<xref ref-type="bibr" rid="ref20">20</xref>). Ischemic damage to serotonergic projections has been shown to impair synaptic plasticity and neurogenesis, thereby contributing to both cognitive and affective dysfunction in stroke survivors. Acupuncture has been shown to significantly modulate central neurotransmitter levels, particularly those implicated in cognitive processes such as learning, memory, and attention. Preclinical studies have demonstrated that acupuncture stimulation at specific acupoints, including GV20and GV24, increases ACh levels in the hippocampus and cortex, enhances cholinergic neurotransmission, and ameliorates memory deficits and attentional impairments following stroke. Moreover, acupuncture has been reported to downregulate acetylcholinesterase (AChE) activity, thereby reducing ACh degradation and promoting cholinergic homeostasis. This balance between ACh synthesis and degradation is crucial for maintaining synaptic plasticity and cognitive integrity, and its restoration through acupuncture contributes to improved learning and memory performance in post-stroke models (<xref ref-type="bibr" rid="ref9">9</xref>). Synaptic plasticity impairment is considered one of the major causes of cognitive dysfunction following stroke. Neural plasticity encompasses synaptic plasticity, neurogenesis, and the remodeling of axons and dendrites, reflecting the brain&#x2019;s adaptive response to injury and environmental changes (<xref ref-type="bibr" rid="ref21">21</xref>). Impaired neuroplasticity can lead to persistent cognitive deficits in patients. In Alzheimer&#x2019;s disease, structural synaptic alterations such as synaptic loss and reduced synaptic density occur at an early stage (<xref ref-type="bibr" rid="ref22">22</xref>). In patients with vascular dementia, inadequate cerebral perfusion, accumulation of reactive oxygen species and lactic acid, and inflammatory responses may lead to reduced synapse number, smaller active zones of synaptic connections, and neuronal cell death. Impaired synaptic plasticity is widely recognized as a fundamental contributor to cognitive deficits following stroke (<xref ref-type="bibr" rid="ref23">23</xref>). Neural plasticity encompasses synaptic remodeling, neurogenesis, and structural modifications of axons and dendrites, reflecting the brain&#x2019;s intrinsic capacity to adapt to injury and environmental stimuli (<xref ref-type="bibr" rid="ref24">24</xref>). Disruption of neuroplastic processes may result in long-term impairments in cognitive flexibility, learning capacity, and memory consolidation. In Alzheimer&#x2019;s disease, structural synaptic alterations&#x2014;including synaptic loss and reduced synaptic density&#x2014;emerge early and are strongly associated with cognitive decline. Similarly, in vascular dementia, chronic cerebral hypoperfusion, oxidative stress, and neuroinflammation contribute to synapse loss, shrinkage of active synaptic zones, and progressive neuronal degeneration (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref5">5</xref>). Ischemic stroke induces microstructural alterations in neural networks, including thickening of postsynaptic density (PSD), reduced extracellular space, decreased dendritic spine density, and diminished mitochondrial number within synapses&#x2014;factors that collectively impair energy metabolism and hinder efficient synaptic transmission, thereby contributing to PSCI (<xref ref-type="bibr" rid="ref13">13</xref>). Studies have shown that acupuncture promotes the expression of synapse-associated proteins and facilitates the restoration of synaptic structure and function. Specifically, acupuncture has been shown to upregulate hippocampal expression of key synaptic markers, including synaptophysin (SYN) and PSD-95, thereby enhancing synaptic density, maturation, and structural remodeling. Moreover, acupuncture enhancesLTP in the hippocampus, thereby strengthening synaptic transmission efficiency and providing a physiological basis for improved learning and memory functions (<xref ref-type="bibr" rid="ref11">11</xref>).</p>
<p>In summary, acupuncture contributes significantly to the reconstruction of post-stroke neural networks through bidirectional modulation of neurotransmitter systems and enhancement of synaptic plasticity. These effects constitute a fundamental mechanism by which acupuncture improves cognitive outcomes in patients with PSCI. By restoring synaptic efficiency and reactivating cholinergic and dopaminergic signaling, acupuncture establishes a neurochemical foundation that subsequently influences neuroinflammatory and neuroimmune responses.</p>
</sec>
<sec id="sec5">
<label>3.2</label>
<title>Anti-inflammatory and immunomodulatory mechanisms</title>
<p>Following the rebalancing of neurotransmission, acupuncture exerts potent regulatory effects on neuroinflammation and immune crosstalk within the injured brain. Neuroinflammation is recognized as a central pathogenic mechanism underlying PSCI. Stroke triggers the activation of the central immune system, resulting in overactivation of microglia and the subsequent release of pro-inflammatory cytokines, including interleukin-1&#x03B2; (IL-1&#x03B2;), tumor necrosis factor-<italic>&#x03B1;</italic> (TNF-&#x03B1;), and interleukin-6 (IL-6). These cytokines further promote the recruitment of peripheral immune cells&#x2014;such as monocytes, lymphocytes, and neutrophils&#x2014;into the ischemic brain tissue (<xref ref-type="bibr" rid="ref25">25</xref>). The infiltration of inflammatory cytokines and peripheral immune cells exacerbates neuronal damage, impairs synaptic integrity, and disrupts functional neural circuits, thereby accelerating cognitive deterioration. In recent years, accumulating evidence has demonstrated that acupuncture can suppress the activation, infiltration, and proliferation of inflammatory cells in the central nervous system (<xref ref-type="bibr" rid="ref26">26</xref>). It also helps restore the balance between pro-inflammatory and anti-inflammatory mediators, thereby exerting significant neuroprotective effects in ischemic brain injury. Animal studies have confirmed that acupuncture stimulation at specific acupoints&#x2014;such as GV20 and Dazhui (GV14)&#x2014;significantly downregulates the expression of pro-inflammatory cytokines, including IL-1&#x03B2;, TNF-<italic>&#x03B1;</italic>, and others in brain tissue. In addition, acupuncture inhibits the activity of inflammation-related pathways, particularly the Toll-like receptor 4 (TLR4)/NF-&#x03BA;B signaling cascade, thereby attenuating neuroinflammatory responses. NF-&#x03BA;B, a canonical inflammatory signaling mediator, upon activation induces the transcription of multiple pro-inflammatory cytokines and perpetuates the inflammatory cascade (<xref ref-type="bibr" rid="ref2">2</xref>). Acupuncture has been shown to inhibit NF-&#x03BA;B phosphorylation and nuclear translocation, thereby suppressing its transcriptional activity and reducing cytokine production at the upstream regulatory level. Microglia, the resident macrophages of the central nervous system, play a dual role in neuroinflammation and can induce neuronal degeneration and death under pathological conditions (<xref ref-type="bibr" rid="ref1">1</xref>). Acupuncture has been shown to modulate microglial polarization by promoting the phenotypic shift from the pro-inflammatory M1 type to the anti-inflammatory M2 type (<xref ref-type="bibr" rid="ref27">27</xref>). This shift enhances the secretion of neuroprotective cytokines such as interleukin-10 (IL-10) and transforming growth factor-<italic>&#x03B2;</italic> (TGF-&#x03B2;), while suppressing the pro-inflammatory cytokine cascade, thereby creating a neuroimmune microenvironment conducive to neural repair. Furthermore, acupuncture has been reported to inhibit inflammasome activation, particularly the NOD-like receptor protein 3 (NLRP3) inflammasome, thereby reducing neuronal pyroptosis and preserving the structural integrity of brain tissue after stroke. In addition to its central effects, acupuncture also modulates peripheral immune responses via the neuroimmune axis (<xref ref-type="bibr" rid="ref28">28</xref>). It has been demonstrated that acupuncture activates the vagus nerve-mediated cholinergic anti-inflammatory pathway, which suppresses the production of inflammatory cytokines in the spleen and peripheral immune organs. These findings highlight the systemic anti-inflammatory effects of acupuncture (<xref ref-type="bibr" rid="ref29">29</xref>).</p>
<p>In summary, acupuncture alleviates chronic neuroinflammation following stroke through multi-level, multi-target anti-inflammatory mechanisms. These include the suppression of pro-inflammatory cytokine expression, modulation of key signaling pathways, and regulation of glial activation and immune cell polarization. Collectively, these mechanisms attenuate sustained neuroinflammatory damage and establish an immunological foundation for cognitive recovery in post-stroke patients. These anti-inflammatory and immune-modulatory effects not only mitigate secondary neuronal damage but also reduce oxidative burden, paving the way for the activation of antioxidant and anti-apoptotic pathways.</p>
</sec>
<sec id="sec6">
<label>3.3</label>
<title>Antioxidant and anti-apoptotic mechanisms</title>
<p>As inflammation subsides, oxidative stress and apoptosis remain key barriers to neural survival and network integrity; acupuncture has been shown to alleviate these processes through multiple signaling pathways. Oxidative stress, caused by an imbalance between pro-oxidant and antioxidant systems, is recognized as a central pathological mechanism contributing to PSCI (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref7">7</xref>). During cerebral ischemia&#x2013;reperfusion injury, excessive production of ROS initiates a cascade of oxidative stress responses (<xref ref-type="bibr" rid="ref3">3</xref>). These reactive species damage membrane lipids, proteins, and nucleic acids, impair mitochondrial function, and ultimately induce neuronal apoptosis and necrosis, all of which contribute significantly to cognitive dysfunction. In addition, oxidative stress indirectly exacerbates neuronal injury by disrupting intracellular signaling pathways, impairing energy metabolism, and further aggravating mitochondrial dysfunction. ROS also disrupt the integrity of the blood&#x2013;brain barrier (BBB) by damaging endothelial cells, increasing permeability, and facilitating the infiltration of inflammatory cells and cytokines into brain parenchyma, thereby exacerbating tissue injury (<xref ref-type="bibr" rid="ref30">30</xref>). Sustained oxidative stress may initiate chronic neuroinflammation, characterized by persistent microglial activation, excessive ROS generation, and upregulation of pro-inflammatory cytokines, forming a vicious cycle that further damages neurons and impairs neuroregeneration (<xref ref-type="bibr" rid="ref31">31</xref>). Recent studies suggest that acupuncture exerts neuroprotective and cognition-enhancing effects by upregulating endogenous antioxidant defenses and modulating apoptosis-related signaling cascades (<xref ref-type="bibr" rid="ref9">9</xref>). First, acupuncture has been shown to effectively reduce oxidative stress levels in brain tissue following stroke. Experimental studies indicate that acupuncture upregulates the activity of endogenous antioxidant enzymes, including superoxide dismutase (SOD), while concurrently downregulating lipid peroxidation markers such as malondialdehyde (MDA) (<xref ref-type="bibr" rid="ref20">20</xref>). These effects alleviate free radical-induced cellular damage and contribute to the stabilization of the neural microenvironment. In addition, acupuncture enhances other antioxidant defense systems, including GSH-Px and catalase (CAT), thereby further augmenting the brain&#x2019;s capacity to counteract oxidative damage (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref5">5</xref>). Apoptosis, also referred to as programmed cell death, is a genetically regulated and highly orchestrated process of cellular self-destruction (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref7">7</xref>). It plays essential roles in embryonic development, tissue remodeling, and immune homeostasis. Neuronal apoptosis is a core pathological event in the development of PSCI (<xref ref-type="bibr" rid="ref32">32</xref>). During cerebral ischemia and hypoxia, cellular energy metabolism collapses, ATP synthesis declines sharply, and membrane ion pumps become dysfunctional, leading to intracellular calcium overload and a cascade of cytotoxic events that culminate in neuronal apoptosis. The Wnt/<italic>&#x03B2;</italic>-catenin signaling pathway plays a pivotal role in promoting neuronal survival and inhibiting apoptosis (<xref ref-type="bibr" rid="ref33">33</xref>). Under physiological conditions, stabilized &#x03B2;-catenin translocates to the nucleus, where it interacts with TCF/LEF transcription factors to upregulate anti-apoptotic genes such as Bcl-2 and suppress pro-apoptotic proteins including Bax and caspase-3, thereby preventing neuronal apoptosis. In PSCI, ischemia and hypoxia lead to abnormal activation of GSK-3<italic>&#x03B2;</italic>, which induces excessive phosphorylation and proteasomal degradation of &#x03B2;-catenin, thereby markedly reducing its cytoplasmic levels (<xref ref-type="bibr" rid="ref34">34</xref>). This diminishes anti-apoptotic capacity, promotes cytochrome c release, and activates the caspase cascade, culminating in neuronal apoptosis. Extensive neuronal apoptosis leads to severe disruption of neural circuits, particularly in the hippocampal CA1 region and prefrontal cortex, and is considered a pathological hallmark of PSCI (<xref ref-type="bibr" rid="ref14">14</xref>). Studies have demonstrated that acupuncture mitigates post-stroke neuronal apoptosis through multiple molecular mechanisms. It modulates the expression of Bcl-2 family proteins by upregulating anti-apoptotic Bcl-2 and downregulating pro-apoptotic Bax, inhibits mitochondrial membrane permeability transition, and prevents cytochrome c release&#x2014;collectively suppressing mitochondria-dependent apoptotic pathways (<xref ref-type="bibr" rid="ref35">35</xref>). Moreover, acupuncture downregulates the expression and enzymatic activity of caspase-3 and caspase-9&#x2014;critical downstream effectors of the apoptotic cascade&#x2014;thereby preserving the structural and functional integrity of brain tissue. Emerging evidence also suggests that acupuncture may regulate endoplasmic reticulum stress and modulate the crosstalk between autophagy and apoptosis following stroke, offering additional molecular targets for neuroprotection (<xref ref-type="bibr" rid="ref36">36</xref>, <xref ref-type="bibr" rid="ref37">37</xref>).</p>
<p>In summary, acupuncture exerts coordinated neuroprotective effects through multiple mechanisms, including enhancement of antioxidant defenses, suppression of free radical accumulation, and modulation of mitochondrial pathways and downstream apoptotic executioners. These mechanisms collectively mitigate oxidative damage and programmed neuronal death following stroke, thereby establishing a crucial cellular foundation for cognitive recovery. The attenuation of oxidative injury and apoptosis creates a favorable intracellular environment for neurotrophic signaling, particularly the up-regulation of BDNF and its downstream cascades.</p>
</sec>
<sec id="sec7">
<label>3.4</label>
<title>Regulation of BDNF and its downstream signaling pathways</title>
<p>Building upon the neuroprotective microenvironment established by antioxidant mechanisms, acupuncture activates neurotrophic signaling centered on the brain-derived neurotrophic factor (BDNF) pathway. BDNF is the most abundant neurotrophin in the central nervous system. It plays a pivotal role in neuronal survival, synaptic plasticity, and the regulation of learning and memory (<xref ref-type="bibr" rid="ref38">38</xref>). BDNF also contributes to neuronal repair following injury and prevents degenerative changes in neural cells, with its highest concentrations found in the hippocampus and cortex. BDNF exerts its biological effects by binding to its high-affinity receptor, tropomyosin receptor kinase B (TrkB), inducing tyrosine phosphorylation and activating downstream signaling cascades (<xref ref-type="bibr" rid="ref39">39</xref>). The BDNF/TrkB signaling pathway is essential for neuronal survival and proliferation, dendritic and axonal development, and modulation of synaptic plasticity (<xref ref-type="bibr" rid="ref40">40</xref>). Stroke markedly downregulates BDNF expression and impairs TrkB receptor activity, leading to disrupted synaptic remodeling and diminished neuronal repair capacity. This process represents a key pathological mechanism in the development of PSCI (<xref ref-type="bibr" rid="ref41">41</xref>). In recent years, the regulatory effect of acupuncture on BDNF and its downstream signaling pathways has gained increasing attention as a potential mechanism underlying its therapeutic effects on PSCI (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref7">7</xref>). Multiple animal studies have demonstrated that acupuncture significantly upregulates BDNF mRNA and protein expression in post-stroke brain tissue, restores its binding activity with TrkB, and activates a series of neuroprotective downstream pathways (<xref ref-type="bibr" rid="ref1">1</xref>). Notably, the BDNF&#x2013;TrkB axis mediates the phosphorylation of cAMP response element-binding protein (CREB), which enhances the expression of plasticity-related proteins such as SYN and growth-associated protein 43 (GAP-43), thereby facilitating synaptic remodeling and memory consolidation (<xref ref-type="bibr" rid="ref26">26</xref>).</p>
<p>In addition, BDNF activates the phosphoinositide 3-kinase (PI3K)/protein kinase B (Akt) pathway, which inhibits pro-apoptotic protein expression and promotes neuronal survival (<xref ref-type="bibr" rid="ref21">21</xref>). Acupuncture has also been shown to activate the PI3K/Akt pathway in stroke models, suggesting a potential synergistic neuroprotective effect with BDNF signaling. Additionally, acupuncture modulates other signaling cascades such as MAPK/ERK, further expanding the BDNF-mediated regulatory network. BDNF also plays a pivotal role in mediating bidirectional signaling between neurons and glial cells (<xref ref-type="bibr" rid="ref42">42</xref>). Acupuncture-induced upregulation of BDNF expression in astrocytes may represent a novel mechanism for restoring neuron&#x2013;glia interactions post-stroke (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref5">5</xref>). In summary, acupuncture modulates the BDNF/TrkB signaling axis and its downstream pathways, including CREB and PI3K/Akt, thereby promoting neuronal survival, facilitating synaptic plasticity, and contributing to cognitive recovery (<xref ref-type="bibr" rid="ref17">17</xref>). This represents a core mechanism through which acupuncture ameliorates post-stroke cognitive impairment. Through these neurotrophic cascades, acupuncture promotes synaptic remodeling, axonal regeneration, and neuronal survival, thereby facilitating large-scale network reorganization and functional integration.</p>
</sec>
<sec id="sec8">
<label>3.5</label>
<title>Promotion of neurogenesis and brain network reorganization</title>
<p>The cumulative effects of neurotransmitter regulation, anti-inflammatory modulation, antioxidative protection, and neurotrophic activation ultimately converge at the systems level, driving neurogenesis and the reconstruction of functional brain networks. After stroke, structural damage in localized brain regions combined with disrupted functional connectivity constitutes the pathological basis of cognitive impairment (<xref ref-type="bibr" rid="ref8">8</xref>). Stroke not only induces neuronal apoptosis and synaptic disconnection but also compromises the integrity of neural networks, particularly disrupting key cognitive circuits such as the thalamocortical and hippocampal&#x2013;prefrontal pathways (<xref ref-type="bibr" rid="ref43">43</xref>). These changes severely impair the brain&#x2019;s integrative and processing capacity during cognitive tasks (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref7">7</xref>). Neurogenesis and brain network reorganization represent two central processes in cognitive recovery after stroke, both of which are positively regulated by acupuncture. Regarding neurogenesis, studies have demonstrated that acupuncture promotes the proliferation, differentiation, and migration of neural stem cells (NSCs) in the hippocampal dentate gyrus (DG) and subventricular zone (SVZ) (<xref ref-type="bibr" rid="ref44">44</xref>). This facilitates the generation of new neurons, thereby providing a cellular foundation for post-stroke brain tissue repair and cognitive recovery. Electroacupuncture at acupoints such as GV20 and Shenting GV24 modulates signaling pathways including Notch and Wnt/<italic>&#x03B2;</italic>-catenin, thereby enhancing NSC activity. It also upregulates neurogenesis-related markers such as Nestin and doublecortin (DCX), indicating that acupuncture facilitates the generation and integration of newborn neurons (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref5">5</xref>).</p>
<p>Regarding brain network reorganization, functional magnetic resonance imaging (fMRI) studies have revealed that acupuncture modulates functional connectivity among multiple brain regions (<xref ref-type="bibr" rid="ref9">9</xref>). Specifically, it enhances synchrony within regions associated with the default mode network (DMN), including the medial prefrontal cortex (mPFC), hippocampus, and posterior cingulate cortex (PCC), suggesting a potential role for acupuncture in restoring high-order cognitive networks disrupted by stroke (<xref ref-type="bibr" rid="ref45">45</xref>). Additional studies have shown that acupuncture promotes synaptogenesis and remyelination, enhances axonal conduction efficiency, and provides a microstructural basis for neural network functional restoration (<xref ref-type="bibr" rid="ref3">3</xref>). Notably, acupuncture-induced neurogenesis and functional remodeling exhibit &#x201C;acupoint-to-central-target&#x201D; specificity. That is, its regulatory effects are not diffuse or nonspecific, but preferentially target cognition-related brain regions such as the hippocampus and prefrontal cortex (<xref ref-type="bibr" rid="ref29">29</xref>). This may represent a distinctive mechanistic feature distinguishing acupuncture from other physical therapies. In summary, acupuncture facilitates neurogenesis and functional connectivity remodeling post-stroke, offering dual structural and functional support for brain recovery, and forming a fundamental biological basis for its therapeutic effects on PSCI. This hierarchical progression&#x2014;from molecular modulation to network reorganization&#x2014;illustrates the integrative neurobiological mechanism by which acupuncture may restore cognitive function in post-stroke populations.</p>
</sec>
</sec>
<sec sec-type="discussion" id="sec9">
<label>4</label>
<title>Discussion</title>
<p>PSCI arises from multifactorial risk interactions involving neurovascular injury, metabolic dysfunction, and chronic neuroinflammation (<xref ref-type="bibr" rid="ref45">45</xref>). Clinical studies have identified age, stroke severity, lesion location, white matter integrity, hypertension, and diabetes as major determinants of PSCI development and prognosis (<xref ref-type="bibr" rid="ref46">46</xref>). These heterogeneous risk factors converge on shared biological cascades, including oxidative stress, excitotoxicity, microglial activation, and impaired neurovascular coupling, leading to synaptic loss and network disintegration (<xref ref-type="bibr" rid="ref3">3</xref>).</p>
<p>This multifactorial background explains why single-target pharmacological treatments have achieved limited success in restoring cognitive function. From a systems perspective, the complexity of PSCI underscores the need for interventions capable of simultaneously modulating multiple interdependent mechanisms. Acupuncture, characterized by its multimodal regulatory actions&#x2014;encompassing neurotransmission, neuroimmune modulation, oxidative protection, and brain network remodeling&#x2014;may therefore provide unique therapeutic advantages (<xref ref-type="bibr" rid="ref27">27</xref>). Understanding how acupuncture acts upon these shared pathological axes helps contextualize its neurobiological mechanisms and clarifies its potential role within the broader framework of PSCI rehabilitation.</p>
<p>The mechanistic evidence summarized in this review indicates that acupuncture exerts neuroprotective and neurorestorative effects through five interrelated dimensions: (1) regulation of neurotransmitters and synaptic plasticity (<xref ref-type="bibr" rid="ref47">47</xref>). (2) modulation of inflammatory and immune responses (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref5">5</xref>). (3) suppression of oxidative stress and apoptosis (<xref ref-type="bibr" rid="ref27">27</xref>). (4) activation of BDNF-related signaling pathways (<xref ref-type="bibr" rid="ref20">20</xref>). (5) promotion of neurogenesis and brain network remodeling (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref7">7</xref>). These mechanisms are not independent but rather form an interlocking network of molecular and systemic interactions.</p>
<p>At the molecular level, acupuncture restores neurotransmitter balance by increasing acetylcholine, dopamine, and serotonin while suppressing glutamate excitotoxicity, thereby facilitating synaptic plasticity. It concurrently modulates immune cascades&#x2014;suppressing proinflammatory cytokines (TNF-<italic>&#x03B1;</italic>, IL-1&#x03B2;) (<xref ref-type="bibr" rid="ref15">15</xref>) and enhancing anti-inflammatory mediators (IL-10)&#x2014;which mitigates microglial overactivation and secondary neuronal injury (<xref ref-type="bibr" rid="ref48">48</xref>). In parallel, acupuncture strengthens antioxidative defense by upregulating SOD and Nrf2 signaling and inhibiting lipid peroxidation markers such as MDA, contributing to improved cellular survival (<xref ref-type="bibr" rid="ref29">29</xref>).</p>
<p>Beyond these molecular and cellular effects, an important question concerns how acupuncture-related signals are transmitted and integrated across neural circuits and large-scale brain systems. Although <xref ref-type="fig" rid="fig2">Figure 2</xref> is presented as an integrative schematic, the proposed peripheral-to-central afferent network is grounded in convergent experimental and clinical evidence. Peripheral acupuncture stimulation has been shown to activate somatosensory and autonomic afferents, including A&#x03B4; and C fibers as well as vagal pathways, which project to spinal and brainstem relay nuclei such as the dorsal horn, nucleus tractus solitarius (NTS), and periaqueductal gray (PAG). These subcortical structures have been repeatedly implicated in acupuncture-induced neuromodulation and are known to influence limbic and cortical regions, including the hippocampus and prefrontal cortex. Neuroimaging studies further suggest that modulation of these regions is associated with changes in large-scale cognitive networks, such as the default mode network, which are critical for post-stroke cognitive function. Accordingly, <xref ref-type="fig" rid="fig2">Figure 2</xref> should be interpreted as an evidence-informed integrative framework rather than a comprehensive anatomical pathway.</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>This figure presents an evidence-informed integrative framework linking peripheral-to-central signaling with multi-level neuroplastic mechanisms underlying acupuncture-induced cognitive modulation. Acupuncture initiates peripheral somatosensory and autonomic afferent activation, which is transmitted through representative spinal and brainstem relay structures to higher-order limbic and cortical regions and large-scale cognitive networks, as supported by convergent experimental, neurochemical, and neuroimaging evidence. At the molecular and cellular levels, acupuncture triggers multi-level cascades involving neurotransmitter regulation, neuroimmune modulation, antioxidative and anti-apoptotic protection, and BDNF-related neurotrophic signaling. These processes converge to promote neurogenesis and large-scale brain network remodeling, ultimately contributing to cognitive restoration in PSCI. The diagram highlights hierarchical interactions from molecular to systems levels, emphasizing acupuncture&#x2019;s role as a multi-target neuromodulatory intervention. Factors in blue are upregulated by acupuncture, while factors in purple are down-regulated by acupuncture. IS, Ischemic Stroke; ICH, Intracerebral Hemorrhage; NMDA, N-methyl-d-aspartate receptor; cAMP, Cyclic Adenosine Monophosphate; PKA, Protein Kinase A; pERK, Phospho-Extracellular Signal-Regulated Kinase; BDNF, Brain-Derived Neurotrophic Factor; MyD88, Bone Marrow Differentiation Factor 88; IL-1<italic>&#x03B2;</italic>, Interleukin-1&#x03B2;; IFN-<italic>&#x03B3;</italic>, Interferon-gamma; Bcl-2, B-Cell Lymphoma 2; SOD, Superoxide Dismutase. Created with <ext-link xlink:href="http://BioGDP.com" ext-link-type="uri">BioGDP.com</ext-link>.</p>
</caption>
<graphic xlink:href="fneur-17-1744242-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">A PRISMA-ScR flowchart diagram illustrating a literature review process: 726 articles identified, 218 excluded for duplication or missing text, 508 screened, 396 excluded as reviews, meta-analyses, or irrelevant, 112 full texts assessed, and further excluded for not being original research, lacking mechanistic outcomes, or non-English, resulting in 41 basic and 20 clinical studies included.</alt-text>
</graphic>
</fig>
<p>At the interface between circuit-level signaling and network-level plasticity, BDNF-related pathways play a central integrative role. Furthermore, acupuncture activates the BDNF/TrkB pathway and its downstream cascades (PI3K/Akt, MAPK/ERK, CREB), which facilitate neuronal growth, axonal sprouting, and synaptic remodeling (<xref ref-type="bibr" rid="ref21">21</xref>). These molecular and cellular effects collectively support structural reorganization within large-scale brain networks. Although an increasing number of neuroimaging studies have explored the effects of acupuncture on brain network organization after stroke, the available evidence remains limited and heterogeneous with respect to study design, post-stroke stage, imaging metrics, and cognitive endpoints. Existing resting-state fMRI studies suggest that acupuncture may modulate functional connectivity within cognition-related large-scale networks, including the default mode network (DMN), frontoparietal network, and hippocampal&#x2013;prefrontal circuits. Reported network-level changes include alterations in functional connectivity strength, regional homogeneity, amplitude of low-frequency fluctuations, and graph-theoretical properties, which are broadly implicated in memory, attention, and executive processing (<xref ref-type="bibr" rid="ref9">9</xref>). However, due to the relatively small number of PSCI-specific neuroimaging studies and substantial methodological variability across existing reports, a formal tabulated comparison of neuroimaging findings was not performed. Instead, the present review provides a narrative synthesis to contextualize neuroimaging evidence within a systems-level framework of acupuncture-induced neuroplasticity. Accordingly, current fMRI findings should be interpreted as emerging evidence supporting network-level modulation rather than definitive neuroimaging biomarkers of cognitive recovery.</p>
<p>The integration of molecular, cellular, and network-level evidence provides a coherent framework that aligns traditional acupuncture theory with contemporary neuroscience. From the TCM perspective, acupuncture aims to restore systemic homeostasis and harmonize interactions between the brain and viscera; in modern neurobiological terms, this corresponds to re-establishing neurotransmitter equilibrium, reducing inflammation, and promoting neurovascular and synaptic resilience. Such cross-domain correspondence highlights acupuncture as a paradigmatic &#x201C;multi-target systems therapy.&#x201D;</p>
<p>Clinically, this integrative model suggests that acupuncture&#x2019;s benefits are not restricted to symptomatic relief but may involve fundamental reorganization of neural networks underlying cognition. Future clinical trials should, therefore, combine standardized cognitive assessments (MMSE, MoCA) with multimodal biomarkers&#x2014;such as functional neuroimaging, electrophysiology, and molecular assays&#x2014;to delineate the causal pathways between acupuncture-induced biological changes and cognitive improvement. Additionally, interventional studies that adopt precision-based approaches (e.g., personalized acupoint prescriptions guided by neuroimaging or phenotype) may enhance therapeutic specificity and reproducibility. Importantly, much of the mechanistic evidence discussed above is derived from experimental models, which warrants careful consideration of model-specific contexts. The mechanistic evidence summarized in <xref ref-type="table" rid="tab2">Table 2</xref> is derived from multiple experimental models relevant to post-stroke cognitive impairment, including chronic cerebral hypoperfusion models (e.g., BCCAO and 4VO), focal ischemia models (e.g., MCAO/R), and cerebral microinfarction models. These models differ in vascular pathology, inflammatory dynamics, and temporal progression of cognitive impairment, and therefore capture distinct facets of PSCI-related neurobiology rather than a single uniform disease process. Chronic hypoperfusion models predominantly reflect long-term white matter injury, neuroinflammatory persistence, and progressive synaptic dysfunction, which resemble the gradual cognitive decline observed in many PSCI patients. In contrast, focal ischemia models emphasize acute injury responses and secondary neuroplastic remodeling following stroke, while microinfarction models simulate cumulative subclinical vascular insults contributing to cognitive vulnerability. Accordingly, mechanistic findings from these models should be interpreted as model-specific contributions to PSCI-relevant pathological cascades, rather than direct equivalents of clinical PSCI mechanisms. The convergence of findings across distinct models nevertheless supports the robustness of shared pathways&#x2014;such as neuroinflammation, oxidative stress, and impaired network connectivity&#x2014;that are consistently modulated by acupuncture.</p>
<p>This review did not include a formal risk-of-bias assessment, which may limit the ability to weigh the relative strength of individual studies. Given the heterogeneity of experimental models, clinical designs, and outcome measures, mechanistic conclusions should be interpreted with caution. Moreover, variability in acupoint selection, stimulation parameters, and intervention duration complicates cross-study comparisons and may contribute to inconsistent findings across the literature.</p>
<p>Despite accumulating mechanistic evidence, current research on acupuncture for PSCI still faces several limitations. First, heterogeneity in experimental design&#x2014;such as acupoint selection, stimulation parameters, and intervention duration&#x2014;complicates cross-study comparisons. Second, many studies rely on single-dimensional indicators without integrating molecular and imaging outcomes, limiting mechanistic depth. Third, translational gaps remain between animal and human studies, particularly regarding dose&#x2013;response relationships and longitudinal neuroplastic effects.</p>
<p>Future research should focus on multi-omics integration (proteomics, metabolomics, transcriptomics) and multimodal neuroimaging (fMRI, DTI, PET) to map acupuncture&#x2019;s effects across biological scales. The incorporation of network neuroscience and advanced data-analytic frameworks, including machine learning, may further elucidate system-level mechanisms underlying cognitive recovery. International multicenter collaborations using standardized protocols will be essential to generate reproducible evidence and strengthen the global acceptance of acupuncture in post-stroke rehabilitation.</p>
</sec>
<sec sec-type="conclusions" id="sec10">
<label>5</label>
<title>Conclusion</title>
<p>Acupuncture offers a promising multi-target approach for the prevention and treatment of post-stroke cognitive impairment. Through coordinated modulation of neurotransmitter balance, neuroimmune homeostasis, antioxidative defense, neurotrophic signaling, and large-scale brain network connectivity, acupuncture may promote neuroplastic remodeling and cognitive restoration. The integrative neurobiological framework proposed in this review unites traditional concepts of systemic regulation with modern evidence of neural repair, providing a comprehensive model for understanding how acupuncture facilitates recovery after stroke.</p>
<p>Future studies integrating molecular biomarkers, functional imaging, and individualized treatment strategies will be crucial to validate this multi-pathway model and to advance precision acupuncture in cognitive rehabilitation.</p>
</sec>
</body>
<back>
<sec sec-type="author-contributions" id="sec11">
<title>Author contributions</title>
<p>WLi: Conceptualization, Writing &#x2013; original draft, Supervision. LL: Data curation, Formal analysis, Writing &#x2013; original draft. WLu: Investigation, Visualization, Writing &#x2013; review &#x0026; editing. HL: Validation, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="COI-statement" id="sec12">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec13">
<title>Generative AI statement</title>
<p>The author(s) declared that Generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="sec14">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="sec15">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fneur.2026.1744242/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fneur.2026.1744242/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.pdf" id="SM1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0002">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2146536/overview">Jieying Zhang</ext-link>, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, China</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0003">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/581119/overview">Qi Huang</ext-link>, Huazhong University of Science and Technology, China</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/640764/overview">Xuesong Wang</ext-link>, Hebei University of Chinese Medicine, China</p>
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