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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Neurosci.</journal-id>
<journal-title>Frontiers in Neuroscience</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Neurosci.</abbrev-journal-title>
<issn pub-type="epub">1662-453X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnins.2024.1495435</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Neuroscience</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Overview of evidence-based research on acupuncture for stroke treatment using magnetic resonance imaging technology</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Ke</surname> <given-names>Chao</given-names></name>
<xref ref-type="author-notes" rid="fn1001"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2008054/overview"/>
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<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Shi</surname> <given-names>Wenying</given-names></name>
<xref ref-type="author-notes" rid="fn1001"><sup>&#x2020;</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
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</contrib>
<contrib contrib-type="author">
<name><surname>Zhou</surname> <given-names>Zhuo</given-names></name>
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</contrib>
<contrib contrib-type="author">
<name><surname>Xie</surname> <given-names>Zhengrong</given-names></name>
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</contrib>
<contrib contrib-type="author">
<name><surname>Sun</surname> <given-names>Mengzi</given-names></name>
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<contrib contrib-type="author">
<name><surname>Yu</surname> <given-names>Juli</given-names></name>
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<contrib contrib-type="author">
<name><surname>Shan</surname> <given-names>Shengtao</given-names></name>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Zhang</surname> <given-names>Wei</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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</contrib-group>
<aff><institution>The First Hospital of Hunan University of Chinese Medicine</institution>, <addr-line>Changsha</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001"><p>Edited by: Masako Kinoshita, National Hospital Organization Utano National Hospital, Japan</p></fn>
<fn fn-type="edited-by" id="fn0002"><p>Reviewed by: Jiliang Fang, China Academy of Chinese Medical Sciences, China</p><p>Zilei Tian, Chengdu University of Traditional Chinese Medicine, China</p><p>Peiming Zhang, Foshan Hospital of Traditional Chinese Medicine, China</p></fn>
<corresp id="c001">&#x002A;Correspondence: Wei Zhang, <email>zw_69996@163.com</email></corresp>
<fn id="fn1001" fn-type="equal"><p><sup>&#x2020;</sup>These authors have contributed equally to this work and share first authorship</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>25</day>
<month>11</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>18</volume>
<elocation-id>1495435</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>09</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>10</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2024 Ke, Shi, Zhou, Xie, Sun, Yu, Shan and Zhang.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Ke, Shi, Zhou, Xie, Sun, Yu, Shan and Zhang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). 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.</p>
</license>
</permissions>
<abstract>
<sec id="sec1">
<title>Background</title>
<p>Stroke is a neurological condition characterized by high rates of disability and mortality. Magnetic resonance imaging (MRI) is widely used to examine the mechanisms of acupuncture in stroke treatment.</p>
</sec>
<sec id="sec2">
<title>Purpose</title>
<p>This review provides neuroimaging evidence for the efficacy of acupuncture in treating stroke using MRI.</p>
</sec>
<sec id="sec3">
<title>Method</title>
<p>We conducted a comprehensive search of databases, including PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure (CNKI), Wan Fang Data, Chinese BioMedical Literature Database (CBM), and Chonqing VIP (CQVIP), from inception to April 2024. Relevant neuroimaging studies on acupuncture for stroke were included, and the research findings were presented through charts and textual analyses.</p>
</sec>
<sec id="sec4">
<title>Results</title>
<p>A total of 158 studies were included, and the overall methodological quality of the included studies was moderate to high. The results were divided into three categories: basic characteristics, clinical characteristics, and quality assessment of the included literature.</p>
</sec>
<sec id="sec5">
<title>Conclusion</title>
<p>We elucidated the neural mechanisms underlying the effects of acupuncture on stroke; however, the evidence remains preliminary. There is a need for large-scale, well-designed, multimodal neuroimaging trials. This review represents the first active use of an evidence map to systematically review and illustrate the current state of neuroimaging research on the acupuncture treatment of stroke, thereby providing a valuable reference for future research.</p>
</sec>
</abstract>
<kwd-group>
<kwd>stroke</kwd>
<kwd>neuroimaging</kwd>
<kwd>acupuncture</kwd>
<kwd>magnetic resonance imaging</kwd>
<kwd>evidence map</kwd>
</kwd-group>
<counts>
<fig-count count="8"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="40"/>
<page-count count="12"/>
<word-count count="6523"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Brain Imaging Methods</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec6">
<label>1</label>
<title>Introduction</title>
<p>Globally, stroke has consistently been the leading cause of mortality and disability among individuals aged 50 and older (<xref ref-type="bibr" rid="ref12">GBD Diseases and Injuries Collaborators, 2019</xref>), respectively, often resulting in varying degrees of neurological deficits (<xref ref-type="bibr" rid="ref2">Benjamin et al., 2019</xref>). By 2050, over 200 million patients with stroke are expected to survive (<xref ref-type="bibr" rid="ref3">Brainin et al., 2020</xref>), imposing a substantial financial burden on the healthcare system (<xref ref-type="bibr" rid="ref10">Feigin et al., 2016</xref>; <xref ref-type="bibr" rid="ref16">Katan and Luft, 2018</xref>). According to the Screening and Intervention Project for Individuals at High Risk of Stroke, the number of patients with stroke aged 40 and above in China has reached 12.42 million (<xref ref-type="bibr" rid="ref23">Report on Stroke Prevention and Treatment in China Writing Group, 2023</xref>). Numerous scholars demonstrate the efficacy of acupuncture for stroke in high-impact academic journals (<xref ref-type="bibr" rid="ref34">Zhang J. et al., 2023</xref>; <xref ref-type="bibr" rid="ref37">Zhang J. S. et al., 2023</xref>; <xref ref-type="bibr" rid="ref33">Zhang Y. et al., 2023</xref>). Clinical guidelines, including the Brazilian Practice Guidelines for Stroke Rehabilitation and Chinese Stroke Association Guidelines for Clinical management of Cerebrovascular Diseases, have integrated evidence-based recommendations for acupuncture in stroke management (<xref ref-type="bibr" rid="ref38">Zhang et al., 2020</xref>; <xref ref-type="bibr" rid="ref22">Minelli et al., 2022</xref>).</p>
<p>Abnormal variations in brain structure and function have been found in patients with stroke patients (<xref ref-type="bibr" rid="ref30">Wang et al., 2019</xref>), suggesting its critical role in nerve function outcome and recovery. Consequently, assessing these post-stroke abnormalities and investigating the neural mechanisms of dysfunction is crucial for advancing treatment strategies and improving prognosis. In addition, exploring the mechanism of action of acupuncture can lay a solid theoretical foundation for the prevention and treatment of stroke by acupuncture, which is conducive to promoting the clinical application of acupuncture and has important clinical significance. The rapid development of neuroimaging, particularly magnetic resonance imaging (MRI), enables precise, non-invasive, and multimodal fusion to explore the pathophysiological mechanisms related to neuropsychiatric diseases. MRI technology has been widely used to identify functional and structural changes in the brain of patients with stroke and investigate acupuncture&#x2019;s mechanism in treating stroke (<xref ref-type="bibr" rid="ref34">Zhang J. et al., 2023</xref>; <xref ref-type="bibr" rid="ref37">Zhang J. S. et al., 2023</xref>; <xref ref-type="bibr" rid="ref33">Zhang Y. et al., 2023</xref>). We systematically reviewed MRI research on stroke treatments in recent years and used evidence mapping to provide clinical researchers with neuroimaging insight into acupuncture and stroke, offering new directions for future research.</p>
</sec>
<sec sec-type="methods" id="sec7">
<label>2</label>
<title>Method</title>
<sec id="sec8">
<label>2.1</label>
<title>Search strategy</title>
<p>The electronic databases used for the systematic search from databases inception to 12 April 2024, included PubMed, Embase, Cochrane Database of Systematic Reviews (CDSR), Cochrane Controlled Trials Register (CENTRAL), China National Knowledge Infrastructure (CNKI), Chinese BioMedical Literature Database (CBM), Chonqing VIP (CQVIP), and Wanfang. Detailed search strategies are provided in <xref ref-type="supplementary-material" rid="SM1">Supplementary file S1</xref>.</p>
</sec>
<sec id="sec9">
<label>2.2</label>
<title>Literature inclusion and exclusion criteria</title>
<p>The inclusion criteria were: (1) Study types: This review included clinical studies on acupuncture for stroke, limited to journal articles. (2) Participants: Study participants were diagnosed with stroke based on various diagnostic criteria. The study subjects underwent two MRI scans before or after acupuncture or one MRI scan during acupuncture. (3) Intervention types: The experimental group received acupuncture therapy alone or in combination with other conventional therapies. (4) Type of control: The control group evaluated the effects of acupuncture, with participants receiving sham acupuncture (SA), placebo acupuncture, no treatment, drugs, Chinese medicine, rehabilitation therapy, or other therapies. (5) Types of outcome: At least one MRI technique was used, resulting in MRI outcome measures. The exclusion criteria were: (1) Animal experiments, reviews, case studies, experience reports, or protocols; (2) Duplicate studies or data; (3) Studies where contacting the author via email did not resolve missing data or yield the necessary information.</p>
</sec>
<sec id="sec10">
<label>2.3</label>
<title>Study selection and data extraction</title>
<p>Two authors (Chao Ke and Wenying Shi) independently screened and examined the features of all articles identified using the PICOS (population, interventions, comparators, outcomes, study design) selection criteria, and extracted the data for further evaluation. Subsequently, a cross-check was performed, and any disagreements were resolved through arbitration by a third author (Wei Zhang). Data extraction included the following: general study information (title, author, country, journal, journal level, year of publication, registration, and funding source); patient demographics (lesion location, first-episode, functional disorder category, stroke type, and disease stage); trial design (study type, total sample size, trial design, control design, and neuroimaging design); and outcome evaluation (MRI type and outcomes).</p>
</sec>
<sec id="sec11">
<label>2.4</label>
<title>Data analysis and synthesis</title>
<p>The results were presented in a preferred reporting item for systematic reviews and meta-analyses (PRISMA) flow diagram using a combination of textual descriptions and charts, and visual representations were created using Microsoft Excel 2003, Original, and chiPlot website (<ext-link xlink:href="https://www.chiplot.online/" ext-link-type="uri">https://www.chiplot.online/</ext-link>) for data analysis and synthesis. The presentation also included bubble plots, a fold line diagram, three-line table.</p>
</sec>
</sec>
<sec sec-type="results" id="sec12">
<label>3</label>
<title>Result</title>
<p>A total of 2,841 literature items were retrieved using the search strategy. Initially, 1,948 articles remained after duplicates were removed. Subsequently, 1,722 records were excluded after reviewing the titles and abstracts. Three articles failed to obtain the full text. Finally, 158 studies were included in this meta-analysis. Details of the literature screening process are displayed in the PRISMA flowchart (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>A PRISMA diagram of the literature selection.</p>
</caption>
<graphic xlink:href="fnins-18-1495435-g001.tif"/>
</fig>
<sec id="sec13">
<label>3.1</label>
<title>Basic characteristics of included studies</title>
<p>MRI studies on acupuncture for stroke began in 2,000, with 158 studies published between 2000 and April 2024. Results showed an increasing trend in research in recent years, peaking in 2023. The annual distribution of the literature is shown (<xref ref-type="fig" rid="fig2">Figure 2</xref>). A total of 158 studies were published across 96 distinct journals. Approximately 25.31% of the selected papers were published in the Science Citation Index Journal (SCI), 59.49% in core journals such as the Chinese Core Journal Criterion of Peking University (CSCD) and the China Core Periodicals of Science and Technology (CSTPCD), and the remaining 15.19% in other journals. Most studies received project funding (130/158, 82.28%), such as the Natural Science Foundation of China and 973 projects; very few studies reported registration status (13/158, 8.23%). Most studies were authored by Chinese authors, with only Germany and Boston contributing a single study each (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Annual publication trend of articles.</p>
</caption>
<graphic xlink:href="fnins-18-1495435-g002.tif"/>
</fig>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Basic characteristics of the included studies.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top"><italic>n</italic> =&#x2009;158</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" colspan="2">Country of authors</td>
</tr>
<tr>
<td align="left" valign="middle">China</td>
<td align="center" valign="middle">156 (98.74%)</td>
</tr>
<tr>
<td align="left" valign="middle">Boston</td>
<td align="center" valign="middle">1 (0.63%)</td>
</tr>
<tr>
<td align="left" valign="middle">Germany</td>
<td align="center" valign="middle">1 (0.63%)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="2">Journal grade</td>
</tr>
<tr>
<td align="left" valign="middle">1 Science Citation Index journal</td>
<td align="center" valign="middle">40 (25.31%)</td>
</tr>
<tr>
<td align="left" valign="middle">2 Chinese Science Citation Database journal</td>
<td align="center" valign="middle">40 (25.31%)</td>
</tr>
<tr>
<td align="left" valign="middle">3 Science and Technology/Peking University Core Journal</td>
<td align="center" valign="middle">54 (34.18%)</td>
</tr>
<tr>
<td align="left" valign="middle">4 Common journal</td>
<td align="center" valign="middle">24 (15.19%)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="2">Registered</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="middle">13 (8.23%)</td>
</tr>
<tr>
<td align="left" valign="middle">Not reported</td>
<td align="center" valign="middle">145 (91.77%)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="2">Funding</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="middle">130 (82.28%)</td>
</tr>
<tr>
<td align="left" valign="middle">Not reported</td>
<td align="center" valign="middle">28 (17.72%)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="2">Distribution of study types</td>
</tr>
<tr>
<td align="left" valign="middle">RCT</td>
<td align="center" valign="middle">97 (61.4%)</td>
</tr>
<tr>
<td align="left" valign="middle">Non-RCT</td>
<td align="center" valign="middle">61 (38.6%)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec14">
<label>3.2</label>
<title>Characteristics of the included studies</title>
<sec id="sec15">
<label>3.2.1</label>
<title>Characteristics of the study population</title>
<p>The sample sizes of the 158 studies ranged from 5 to 200. Most studies (108, 68.35%) had sample sizes between 1 and 50. Of the studies, 46.2% reported that the patients recruited had a first-episode stroke. Concurrently, patients primarily had ischaemic stroke (134/158, 84.81%) and post-stroke motor impairment (80/158, 50.63%). Participants were mostly in the acute period and recovery period (112/158, 70.89%). The lesions were primarily distributed in the basal ganglia, corona radiata, and internal capsule. The results are presented in <xref ref-type="table" rid="tab2">Table 2</xref>.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>People in the included studies.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top"><italic>n</italic> =&#x2009;158</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="2">Sample size</td>
</tr>
<tr>
<td align="left" valign="middle">1&#x2013;50</td>
<td align="center" valign="middle">108 (68.35%)</td>
</tr>
<tr>
<td align="left" valign="middle">51&#x2013;100</td>
<td align="center" valign="middle">37 (23.42%)</td>
</tr>
<tr>
<td align="left" valign="middle">101&#x2013;200</td>
<td align="center" valign="middle">13 (8.23%)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Whether first-episode stroke</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">73 (46.2%)</td>
</tr>
<tr>
<td align="left" valign="top">No or not-mentioned</td>
<td align="center" valign="top">85 (53.8%)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="2">Stroke type</td>
</tr>
<tr>
<td align="left" valign="middle">1 Ischemic stroke</td>
<td align="center" valign="top">134 (84.81%)</td>
</tr>
<tr>
<td align="left" valign="middle">2 Haemorrhagic stroke</td>
<td align="center" valign="top">2 (1.27%)</td>
</tr>
<tr>
<td align="left" valign="middle">3 Both stroke types or not-mentioned</td>
<td align="center" valign="top">22 (13.92%)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="2">Post-stroke dysfunction</td>
</tr>
<tr>
<td align="left" valign="middle">1 Motor impairments</td>
<td align="center" valign="middle">88 (55.7%)</td>
</tr>
<tr>
<td align="left" valign="middle">2 Speech impairments</td>
<td align="center" valign="middle">11 (6.96%)</td>
</tr>
<tr>
<td align="left" valign="middle">3 Cognitive impairments</td>
<td align="center" valign="middle">8 (5.06%)</td>
</tr>
<tr>
<td align="left" valign="middle">4 Swallowing impairments</td>
<td align="center" valign="middle">4 (2.53%)</td>
</tr>
<tr>
<td align="left" valign="middle">5 sensory impairments</td>
<td align="center" valign="middle">4 (2.53%)</td>
</tr>
<tr>
<td align="left" valign="middle">6 Sleep impairments</td>
<td align="center" valign="middle">1 (0.63%)</td>
</tr>
<tr>
<td align="left" valign="middle">7 Mood impairments</td>
<td align="center" valign="middle">1 (0.63%)</td>
</tr>
<tr>
<td align="left" valign="middle">8 Shoulder-hand syndrome</td>
<td align="center" valign="middle">1 (0.63%)</td>
</tr>
<tr>
<td align="left" valign="middle">9 Both impairments (motor and cognitive Impairments, motor and sensory Impairments)</td>
<td align="center" valign="middle">9 (5.7%)</td>
</tr>
<tr>
<td align="left" valign="middle">10 Not-mentioned</td>
<td align="center" valign="middle">31 (19.62%)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Clinical stage</td>
</tr>
<tr>
<td align="left" valign="top">1 Acute period</td>
<td align="center" valign="top">29 (18.35%)</td>
</tr>
<tr>
<td align="left" valign="top">2 Recovery period</td>
<td align="center" valign="top">44 (27.85%)</td>
</tr>
<tr>
<td align="left" valign="top">3 Sequelae period</td>
<td align="center" valign="top">9 (5.7%)</td>
</tr>
<tr>
<td align="left" valign="top">4 Acute period to recovery period</td>
<td align="center" valign="top">39 (24.68%)</td>
</tr>
<tr>
<td align="left" valign="top">5 Recovery period to sequelae period</td>
<td align="center" valign="top">8 (5.06%)</td>
</tr>
<tr>
<td align="left" valign="top">6 Both periods</td>
<td align="center" valign="top">9 (5.7%)</td>
</tr>
<tr>
<td align="left" valign="top">7 Not-mentioned</td>
<td align="center" valign="top">20 (12.66%)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="2">Location of lesions</td>
</tr>
<tr>
<td align="left" valign="top">Mentioned</td>
<td align="center" valign="top">92 (58.23%)</td>
</tr>
<tr>
<td align="left" valign="top">Basal ganglia</td>
<td align="center" valign="top">61 (38.51%)</td>
</tr>
<tr>
<td align="left" valign="top">Internal capsule</td>
<td align="center" valign="top">11 (6.96%)</td>
</tr>
<tr>
<td align="left" valign="top">Corona radiata</td>
<td align="center" valign="top">30 (18.99%)</td>
</tr>
<tr>
<td align="left" valign="top">Not-mentioned</td>
<td align="center" valign="top">66 (41.77%)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec16">
<label>3.2.2</label>
<title>Characteristics of the intervention and the control</title>
<p>We reviewed the MRI trial design for acupuncture in stroke studies, focusing on four commonly used methods: two-group pre&#x2013;post control, single-group single-session, two-group single-session, and single-group pre-post control designs (<xref ref-type="fig" rid="fig3">Figure 3</xref>). Regarding MRI intervention design, most studies (85/158, 53.8%) used a resting-state mode, while the remaining (73/158, 46.2%) used a task-state mode. Among the task-state modes, 27 studies used the classical BLOCK design paradigm, 14 used the NRER paradigm, 9 used the MIX-BLOCK paradigm, 5 used the Pre-Post paradigm, and 3 used the Single-BLOCK paradigm (<xref ref-type="fig" rid="fig4">Figure 4</xref>).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Trail design of the included studies.</p>
</caption>
<graphic xlink:href="fnins-18-1495435-g003.tif"/>
</fig>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>MRI Intervention design of the included studies.</p>
</caption>
<graphic xlink:href="fnins-18-1495435-g004.tif"/>
</fig>
<p>Consequently, we created a bubble map illustrating the trial design and MRI intervention design (<xref ref-type="fig" rid="fig5">Figure 5</xref>). The most commonly used study protocol was the two pre-group control studies-resting-state mode observation. The control design was divided into two main purposes: mechanisms of acupuncture therapy and efficacy of acupuncture. The three most common control designs were: verum acupuncture combined with other therapies versus other therapies, verum acupuncture versus healthy control, and verum acupuncture versus SA. The outcomes are presented in <xref ref-type="table" rid="tab3">Table 3</xref>.</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Bubble plots of trail design and MRI intervention design characteristics of the outcome.</p>
</caption>
<graphic xlink:href="fnins-18-1495435-g005.tif"/>
</fig>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Trial, interventions, control design of the included studies.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top">n&#x2009;=&#x2009;158</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="2">Trial design</td>
</tr>
<tr>
<td align="left" valign="middle">4 two groups pre-post control design</td>
<td align="center" valign="middle">88 (55.7%)</td>
</tr>
<tr>
<td align="left" valign="middle">1 single-group single-session design</td>
<td align="center" valign="middle">35 (22.15%)</td>
</tr>
<tr>
<td align="left" valign="middle">2 two groups single-session design</td>
<td align="center" valign="middle">15 (9.49%)</td>
</tr>
<tr>
<td align="left" valign="middle">3 single-group pre-post control design</td>
<td align="center" valign="middle">11 (6.96%)</td>
</tr>
<tr>
<td align="left" valign="middle">5 two groups cross-over control design</td>
<td align="center" valign="middle">5 (3.16%)</td>
</tr>
<tr>
<td align="left" valign="middle">6 single-group multi-control design</td>
<td align="center" valign="middle">2 (1.27%)</td>
</tr>
<tr>
<td align="left" valign="middle">7 natural recovery state design</td>
<td align="center" valign="middle">2 (1.27%)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="2">MRI Intervention design</td>
</tr>
<tr>
<td align="left" valign="middle">Resting state</td>
<td align="center" valign="middle">85 (53.8%)</td>
</tr>
<tr>
<td align="left" valign="middle">Task state</td>
<td align="center" valign="middle">73 (46.2%)</td>
</tr>
<tr>
<td align="left" valign="middle">Classical BLOCK (Acupuncture)</td>
<td align="center" valign="middle">16 (10.13%)</td>
</tr>
<tr>
<td align="left" valign="middle">Classical BLOCK (Non-acupuncture)</td>
<td align="center" valign="middle">11 (6.96%)</td>
</tr>
<tr>
<td align="left" valign="middle">Non-repeated event-related (NRER)paradigm</td>
<td align="center" valign="middle">14 (8.86%)</td>
</tr>
<tr>
<td align="left" valign="middle">MIX-BLOCK paradigm</td>
<td align="center" valign="middle">9 (5.7%)</td>
</tr>
<tr>
<td align="left" valign="middle">Pre-post paradigm</td>
<td align="center" valign="middle">5 (3.16%)</td>
</tr>
<tr>
<td align="left" valign="middle">Single-BLOCK paradigm</td>
<td align="center" valign="middle">3 (1.9%)</td>
</tr>
<tr>
<td align="left" valign="middle">Mix-Single-BLOCK paradigm</td>
<td align="center" valign="middle">2 (1.27%)</td>
</tr>
<tr>
<td align="left" valign="middle">Other</td>
<td align="center" valign="middle">13 (8.22%)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="2">Control design</td>
</tr>
<tr>
<td align="left" valign="middle">Mechanisms of acupuncture therapy</td>
<td align="center" valign="middle">153 (96.84%)</td>
</tr>
<tr>
<td align="left" valign="middle">1 VA / VA combined with other therapies <italic>VS</italic> other therapies</td>
<td align="center" valign="middle">77 (48.73%)</td>
</tr>
<tr>
<td align="left" valign="middle">2 VA <italic>VS</italic> HC</td>
<td align="center" valign="middle">46 (29.11%)</td>
</tr>
<tr>
<td align="left" valign="middle">3 VA <italic>VS</italic> SA</td>
<td align="center" valign="middle">20 (12.66%)</td>
</tr>
<tr>
<td align="left" valign="middle">4 self-control before and after</td>
<td align="center" valign="middle">14 (8.86%)</td>
</tr>
<tr>
<td align="left" valign="middle">5 VA1 <italic>VS</italic> VA2</td>
<td align="center" valign="middle">11 (6.96%)</td>
</tr>
<tr>
<td align="left" valign="middle">6 Others (grouped according to disease course and condition)</td>
<td align="center" valign="middle">4 (2.53%)</td>
</tr>
<tr>
<td align="left" valign="middle">Efficacy of acupuncture</td>
<td align="center" valign="middle">5 (3.16%)</td>
</tr>
<tr>
<td align="left" valign="middle">Timing of the needle</td>
<td align="center" valign="middle">1 (0.63%)</td>
</tr>
<tr>
<td align="left" valign="middle">Needle-retention time</td>
<td align="center" valign="middle">1 (0.63%)</td>
</tr>
<tr>
<td align="left" valign="middle">Deqi and non-deqi</td>
<td align="center" valign="middle">1 (0.63%)</td>
</tr>
<tr>
<td align="left" valign="middle">Different acupoints</td>
<td align="center" valign="middle">2 (1.27%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>In the control design, there are multi-arm tests; therefore, the number exceeds 158. VA, verum acupuncture; HC, healthy control; SA: Sham acupuncture.</p>
</table-wrap-foot>
</table-wrap>
<p>Our results suggest that MRI of cerebral blood oxygen metabolism (104/158, 65.82%), diffusion MRI (30/158, 18.18%), magnetic resonance spectrum (16/158, 10.13%), perfusion MRI (7/158, 4.43%), and structural MRI (5/158, 3.16%) have been extensively used in acupuncture for stroke treatment. Researchers are increasingly preferring data collection using advanced MRI techniques. The detailed results are presented in <xref ref-type="table" rid="tab4">Table 4</xref>. We conducted a comprehensive summary of the annual frequency chart for each type of MRI and post-stroke dysfunction (<xref ref-type="fig" rid="fig6">Figures 6</xref>, <xref ref-type="fig" rid="fig7">7</xref>). The three most frequently used MRI modalities are blood-oxygen-level-dependent (BOLD)-functional MRI (BOLD fMRI), diffusion tensor imaging (DTI), and magnetic resonance spectroscopy/Proton-MRS (MRS/1H-MRS) (<xref ref-type="fig" rid="fig6">Figure 6</xref>). BOLD-fMRI has been in use since 2003, DTI since 2012, and MRS/1H-MRS since 2013. The three disorders under investigation were post-stroke motor, speech, and cognitive impairments (<xref ref-type="fig" rid="fig7">Figure 7</xref>). We further summarized the annual frequency maps of most BOLD fMRI indicators (<xref ref-type="fig" rid="fig8">Figure 8</xref>). The frequencies of brain activation areas, functional connectivity (FC), and regional homogeneity (Reho) have increased annually (<xref ref-type="fig" rid="fig8">Figure 8a</xref>). Since 2003, various indicators representing local brain activity, such as the activation of brain regions, Reho, amplitude of low-frequency fluctuation (ALFF)/fractional amplitude of low-frequency fluctuation (fALFF)/percent amplitude of fluctuation (PerAF) and lateralization index (LI) have emerged. Since 2013, the frequency of interval-brain connectivity patterns, such as FC, voxel-mirrored homotopic connectivity (VMHC), independent component analysis (ICA), and Granger causality (GC), has increased. Furthermore, since 2020, graph theory metrics, including degree centrality (DC), differential degree centrality (DDC), and other indicators representing whole-brain connectivity patterns, have been introduced (<xref ref-type="fig" rid="fig8">Figures 8b</xref>,<xref ref-type="fig" rid="fig8">c</xref>).</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Outcome characteristics of the included studies.</p>
</caption>
<table frame="hsides" rules="groups">
<tbody>
<tr>
<td align="left" valign="middle">MRI of cerebral blood oxygen metabolism</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>BOLD-fMRI</italic></td>
</tr>
<tr>
<td align="left" valign="middle">Activation of brain regions(49), FC(24), ReHo(12), ALFF/fALFF/PerAF(12), ICA(3), LI(2), VMHC(3), GC (3), DC/DDC(1), graph theory metrics: clustering coefficient/small worldness/global efficiency/average local efficiency(1)</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>SWI</italic></td>
</tr>
<tr>
<td align="left" valign="middle">PV (1)</td>
</tr>
<tr>
<td align="left" valign="middle">Diffusion MRI</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>DTI</italic></td>
</tr>
<tr>
<td align="left" valign="middle">FA/rFA(30), pyramidal tract condition (3), ADC(2), AD(2), RD(2), MD(1), rADC(1)</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>DWI</italic></td>
</tr>
<tr>
<td align="left" valign="middle">ADC(2), ischemic area(2)</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>MRS/1H-MRS</italic></td>
</tr>
<tr>
<td align="left" valign="middle">NAA(16),Cr(16),Cho(13),Lac(6),MI(1)</td>
</tr>
<tr>
<td align="left" valign="middle">Perfusion MRI</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>ASL</italic></td>
</tr>
<tr>
<td align="left" valign="middle">CBF(6)</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>PWI</italic></td>
</tr>
<tr>
<td align="left" valign="middle">Blood supply (1)</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Structural MRI</italic></td>
</tr>
<tr>
<td align="left" valign="middle">Grey matter voxel (5)</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Common MRI</italic></td>
</tr>
<tr>
<td align="left" valign="middle">Lesions condition (3), width ectosylvian gyrus (2), the third ventricle width(2), mean sulcal width brain (2), frontal index (2), caudate index (2),lateral ventricles&#x2019; volume index(2)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>FC: functional connectivity, ReHo: Regional homogeneity, ALFF: Amplitude of low frequency fluctuation, fALFF: fractional ALFF, ICA: Independent compo-nent analysis, VMHC: voxel-mirrored homotopic connectivity, GC: Granger causality, DC: Degree Centrality, DDC: Dynamic Degree Centrality, PerAF: percent amplitude of fluctuation, literality index: LI, PV: phase value, FA: Fractional Anisotropy, rFA: FA ratio, ADC: apparent diffusion coefficient, rADC: ADC ratio, AD: axial diffusivity, RD: radial diffusivity, MD: mean diffusivity, NAA: N-acetyl-aspartate, Cho: choline, Cr: creatine, Lac: lactate, MI: myo-inositol, CBF: cerebral blood flow. fMRI: functional MRI, DTI: diffusion tensor imaging, MRS: magnetic resonance spectroscopy, 1H-MRS: Proton MRS, DWI: diffusion weighted imaging, ASL: arterial spin labeling, PWI: perfusion weighted imaging, sMRI: Structural MRI. As for MRI types, there are multi-MRI tests, so the number exceeds 158.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption>
<p>Annual frequency analysis chart of the MRI types.</p>
</caption>
<graphic xlink:href="fnins-18-1495435-g006.tif"/>
</fig>
<fig position="float" id="fig7">
<label>Figure 7</label>
<caption>
<p>Bubble plots of each type of MRI and post-stroke dysfunction.</p>
</caption>
<graphic xlink:href="fnins-18-1495435-g007.tif"/>
</fig>
<fig position="float" id="fig8">
<label>Figure 8</label>
<caption>
<p>Frequency analysis chart of the efficacy of evaluation indices of BOLD-fMRI. <bold>(a)</bold> Annual frequency analysis chart of the efficacy of evaluation indices of BOLD-fMRI. <bold>(b)</bold> Mulberry fruit diagram of the frequency of evaluation indices of BOLD-fMRI (According to the three categories). <bold>(c)</bold> Mulberry fruit diagram of the frequency of evaluation indices of BOLD-fMRI.</p>
</caption>
<graphic xlink:href="fnins-18-1495435-g008.tif"/>
</fig>
</sec>
</sec>
</sec>
<sec sec-type="discussion" id="sec17">
<label>4</label>
<title>Discussion</title>
<sec id="sec18">
<label>4.1</label>
<title>Included populations</title>
<p>Ischemic stroke accounts for approximately 87% of all stroke cases in the United States (<xref ref-type="bibr" rid="ref9">Feigin et al., 2013</xref>) and 80% of all stroke cases in China (<xref ref-type="bibr" rid="ref1">Barthels and Das, 2020</xref>). The review of the evidence in previous literature suggests that the primary subtype of stroke is ischemic stroke, aligning with epidemiological trends (<xref ref-type="bibr" rid="ref13">GBD Parkinson&#x2019;s Disease Collaborators, 2016</xref>). Additionally, MRI studies of acupuncture for stroke address multiple post-stroke dysfunctions, such as motor, speech, cognitive, swallowing, and sensory impairments, with a significant emphasis on motor impairments. Our results similarly support this conclusion. Post-stroke motor impairment is a common complication, with over 70% of stroke survivors experiencing motor dysfunctions (<xref ref-type="bibr" rid="ref28">Wang et al., 2017</xref>). These studies make the functional abnormalities and reorganization between brain regions or networks observable.</p>
</sec>
<sec id="sec19">
<label>4.2</label>
<title>Trial design</title>
<p>Several commonly used experimental design methods are described as follows: (1) Single-group, single-session design: A group of patients with stroke participated in the study and received a single intervention and single-signal acquisition to observe immediate brain activity. (2) Single-group pre-post control design: A group of patients with stroke participated in the study and received a period of intervention, with signal acquisition conducted before and after the intervention to observe brain activity over time. (3) Two-group single-session design: Two groups of patients with stroke participated in the study, each receiving different interventions and undergoing single-signal acquisition after randomization, allowing the observation of immediate brain activity. (4) Two-group pre-post control design: Two groups of patients with stroke participated in the study, with different interventions administered after randomization. Signal-acquisition was performed before and after the intervention to observe brain activity over time. Healthy controls could/could not be included in this study.</p>
<p>Additionally, two other studies focused on natural recovery state design (<xref ref-type="bibr" rid="ref39">Zhao et al., 2017</xref>; <xref ref-type="bibr" rid="ref27">Stinear et al., 2020</xref>). These studies compared brain activity in patients with stroke under natural recovery conditions and observed brain activity changes over time. During this period, no acupuncture intervention was performed, although the acupuncture BLOCK intervention was used to stimulate brain activity at each visiting viewpoint. Five studies employed two-group cross-over control designs (<xref ref-type="bibr" rid="ref4">Chang et al., 2003</xref>; <xref ref-type="bibr" rid="ref36">Zhang et al., 2014</xref>; <xref ref-type="bibr" rid="ref8">Chen et al., 2015</xref>; <xref ref-type="bibr" rid="ref18">Liao et al., 2016</xref>; <xref ref-type="bibr" rid="ref6">Chen C. et al., 2024</xref>; <xref ref-type="bibr" rid="ref5">Chen T. et al., 2024</xref>), which involved two groups of single-session designs with another intervention after the washout period to create two groups of cross-control studies. Consequently, immediate brain activity was observed. This design was mostly used in the group design of acupuncture and SA acupuncture controls. Two studies used a single-group, multi-control design (<xref ref-type="bibr" rid="ref26">Si et al., 2013</xref>; <xref ref-type="bibr" rid="ref7">Chen et al., 2014</xref>), where a group of patients with stroke received several different interventions in sequence, separated by a washout period. In the two-group crossover control and single-group multi-control designs, each patient received two different interventions, reducing the sample size and eliminating individual differences.</p>
</sec>
<sec id="sec20">
<label>4.3</label>
<title>Magnetic resonance imaging intervention design</title>
<p>Resting-state (rs)-fMRI and task-state fMRI are the two primary paradigms for fMRI studies.</p>
<list list-type="order">
<list-item><p>Resting-state mode: This mode refers to the spontaneous regulation activity of neurones in the specific area of the brain observed using MRI when subjects are awake and at rest, without specific brain activity. This state exhibits a significant degree of stability. Rs-MRI is used to investigate changes in fMRI signals before and after acupuncture treatment. This approach is suitable for single-group pre-post control and two-group pre-post control designs to explore how acupuncture treatment affects brain activity over time.</p></list-item>
<list-item><p>Task-state mode: Acupuncture is used as a passive input stimulus to investigate alterations in brain activation during and after needle stimulation. This model investigates both the immediate and sustained effects of acupuncture, necessitating a series of predetermined acupuncture or non-acupuncture task stimuli to induce changes in the brain regions. &#x2460; Classical BLOCK paradigm: Each experimental session alternates between resting-state and stimulation blocks, including acupuncture (<xref ref-type="bibr" rid="ref14">Huang et al., 2013</xref>) and non-acupuncture task BLOCKs (like finger movement, language test) (<xref ref-type="bibr" rid="ref32">Xu et al., 2022</xref>). Acupuncture BLOCK applies to single-group single-session design, two-group single-session design, two-group crossover control design, single-group multi-control design, and natural recovery state design. It explores altered brain activity as an immediate effect of acupuncture treatment. Conversely, non-acupuncture task BLOCK applies to the single-group pre-post control design and two-group pre-post control design, exploring altered brain activity during the task after a period of acupuncture treatment. &#x2461; NRER paradigm: Initially, an acupuncture needle is inserted at the acupoint, rested for 1&#x2009;min, manipulated for 1&#x2009;min, and subsequently left inserted for another 8&#x2009;min. This approach is applicable to the Single-group single-session design and two groups single-session design to investigate sustained effects after instant acupuncture administration (<xref ref-type="bibr" rid="ref31">Xiao et al., 2020</xref>). Therefore, we employed the BLOCK design to avoid the cumulative and confounding effects of acupuncture. &#x2462; MIX-BLOCK paradigm: A series of non-acupuncture tasks are combined with acupuncture, often stimulating specific brain activities through body movements during acupuncture. For example, researchers have explored the differences in brain activity in patients with stroke during fist-grasping tasks with non-acupuncture, acupuncture, and SA (<xref ref-type="bibr" rid="ref20">Lu et al., 2023</xref>). It is mostly applicable to a single-group, single-session design, making brain activity more complex when receiving a single stimulus and potentially confusing the exact acupuncture effect. &#x2463; Pre-post paradigm: The MRI signal scan was not performed during the acupuncture intervention; however, before and after the acupuncture intervention, the subject was required to remain still or perform a task, with signal changes attributed to the acupuncture event. It is mostly applicable to single-group, single-session and two-group single-session designs. Several studies have conducted swallowing BLOCK scans before and after acupuncture, revealing increased brain function activation areas post-acupuncture compared with pre-acupuncture. These findings suggest that acupuncture at the tongue root can enhance the involvement of additional brain regions during swallowing (<xref ref-type="bibr" rid="ref25">Schockert et al., 2010</xref>; <xref ref-type="bibr" rid="ref19">Liu et al., 2019</xref>). &#x2464; Single-Block paradigm: The resting state and acupuncture stimulation events are only repeated once, which avoids the signal baseline elevation caused by cumulative acupuncture effects in the BLOCK design, reducing the accumulation of acupuncture effect to some extent.</p></list-item>
</list>
<p>Our results showed that the most frequently observed patterns were the resting-state, classical BLOCK, non-repeated event-related (NRER), and MIX-BLOCK paradigms. Each research paradigm has different objectives and purposes.</p>
</sec>
<sec id="sec21">
<label>4.4</label>
<title>Control design</title>
<p>Our findings indicate that the control design of acupuncture in stroke MRI studies primarily addresses two major research objectives: the mechanism of acupuncture and its efficacy. The investigation of mechanisms includes comparisons such as VA / VA combined with other therapies, VA versus HC, VA versus SA, self-control before and after, and VA 1 versus VA 2. The purpose of SA is to prove that the positive effects of acupuncture treatment are due to the placebo effect. Of the included studies, 18 used the following three types of SA: (1) acupuncture treatment at non-acupoints, with two studies emphasizing that non-meridian points should be avoided De-qi (<xref ref-type="bibr" rid="ref34">Zhang J. et al., 2023</xref>; <xref ref-type="bibr" rid="ref37">Zhang J. S. et al., 2023</xref>; <xref ref-type="bibr" rid="ref37">Zhang Y. et al., 2023</xref>; <xref ref-type="bibr" rid="ref6">Chen C. et al., 2024</xref>; <xref ref-type="bibr" rid="ref5">Chen T. et al., 2024</xref>); (2) mild stimulation such as superficial acupuncture (<xref ref-type="bibr" rid="ref7">Chen et al., 2014</xref>; <xref ref-type="bibr" rid="ref29">Wang et al., 2023</xref>); and (3) tactile stimulation (<xref ref-type="bibr" rid="ref8">Chen et al., 2015</xref>), use of non-penetrating and flexible needles (<xref ref-type="bibr" rid="ref14">Huang et al., 2013</xref>), and application of no-current electric stimulators (<xref ref-type="bibr" rid="ref24">Schaechter et al., 2007</xref>). SA plays a critical role in understanding and analysing the effects of acupuncture; however, the overall quality of reporting is suboptimal. SA reports are recommended based on the guidelines outlined in the fake needle report list (<xref ref-type="bibr" rid="ref15">Jiang et al., 2017</xref>). The purpose of the healthy population is to demonstrate the functional specificity of acupuncture, suggesting that acupuncture exerts a significant effect under pathological conditions. The therapeutic efficacy of acupuncture is attained by restoring the internal environmental balance. Imaging studies conducted in healthy subjects may reflect pre-intervention brain homeostasis in patients, thereby providing a more comprehensive understanding of the mechanisms underlying the efficacy of acupuncture.</p>
<p>Several potential factors were considered regarding efficacy, including needle timing, needle retention time, Deqi and non-Deqi, and different acupoints. A study investigating the differential activation responses of the brains of patients with stroke in the morning and afternoon revealed a stronger activation effect in the morning than in the afternoon (<xref ref-type="bibr" rid="ref21">Ma et al., 2023</xref>). Another study categorized participants into groups based on needle retention times of 1, 2, and 3&#x2009;min, utilizing a consistent acupoint prescription across groups. These findings indicate that varying the retention time of acupuncture treatment results in distinct neural effects in patients with stroke, with the volume of the activated voxel cluster showing a positive correlation with the duration of acupuncture (<xref ref-type="bibr" rid="ref11">Gao et al., 2015</xref>). Several studies have demonstrated that the Deqi group exhibits significant activation in relevant brain regions compared with the non-Deqi group (<xref ref-type="bibr" rid="ref40">Zhou et al., 2023</xref>). Additionally, researchers have compared the effects of cardiac and pericardial meridian acupoints on disease and brain mechanisms, with results showing a better effect of pericardial meridian acupoints than that of cardiac meridian acupoints (<xref ref-type="bibr" rid="ref17">Li et al., 2015</xref>). Furthermore, the central effect of the Baihui acupoint is more potent than that of Yanglingquan in ameliorating memory impairment post-stroke, potentially due to the enhanced functional connectivity of the hippocampus and the brain network between the frontal and parietal lobes (<xref ref-type="bibr" rid="ref35">Zhang et al., 2019</xref>). These studies provide neuroimaging evidence supporting the underlying mechanisms in acupuncture.</p>
</sec>
<sec id="sec22">
<label>4.5</label>
<title>Outcome indicators</title>
<p>MRI is an emerging neuroimaging method for exploring the central mechanism of acupuncture in patients with stroke. Our review indicates that multimodal MRI technologies are increasingly attracting research attention.</p>
<p>In neuroimaging, fMRI is widely used to explore brain function, behavior, perception, and emotions. Our findings indicate that these trends are significantly expanding both transversely and longitudinally. Researchers&#x2019; observation index has broadened from initially focusing on local neural activity within specific brain regions to including the effects on different regions within the ipsilateral and contralateral hemispheres, extending to the overall brain network. Magnetic resonance spectroscopy imaging (MRS/1H-MRS) is primarily employed to quantify the concentration of specific metabolites in the brain or other tissues and is frequently used to investigate the metabolic state and pathological lesions of the brain. Different lesion areas can be selected for detection based on stroke complications. Additionally, dynamic, non-invasive monitoring of critical brain metabolites can be conducted, thereby providing robust evidence supporting molecular imaging in the acupuncture treatment of stroke. Diffusion magnetic resonance imaging (DWI/DTI) is predominantly used to delineate the structural architecture and white matter pathways within the brain and investigate acupuncture as a treatment modality for motor dysfunction following stroke. This imaging technique enables quantitative analysis of nerve fiber damage and motor dysfunction, which is crucial for understanding acupunctures&#x2019; efficacy in motor function rehabilitation. DTI is often combined with fMRI to explore the interrelationships between the brain structure and function. Magnetic resonance perfusion imaging, including arterial spin labelling (ASL) and perfusion-weighted imaging (PWI), offers a rapid assessment of haemodynamic alterations in the brain tissue. ASL perfusion imaging is a common technique for measuring cerebral blood flow (CBF). In patients with stroke, variations in infarct location correspond to differences in cerebral blood flow signals. Alterations in local cerebral blood flow within specific brain regions may constitute a critical neural mechanism underlying functional impairment. Additionally, acupuncture may facilitate neural repair by augmenting the local cerebral blood flow. Structural magnetic resonance imaging (sMRI) provides high-resolution images of the brain and other anatomical structures, facilitating the detailed observation of anatomical features. This modality is extensively utilized for diagnostic purposes, disease monitoring, and investigating structural changes in the brain.</p>
<p>Thus, fMRI focuses on brain activity and function, MRS/1H-MRS on chemical and metabolic states, DWI/DTI on white matter structure and function, sMRI on anatomical structures, and ASL/PWI on cerebral blood flow. Collectively, these neuroimaging techniques provide robust scientific and quantitative evidence supporting the efficacy of acupuncture in stroke treatment by addressing various dimensions, such as functional activity, metabolic processes, structural integrity, and cerebral perfusion. This multifaceted approach highlights the comprehensive therapeutic potential of acupuncture for stroke rehabilitation.</p>
<p>This review presents the first systematic review using evidence map to illustrate the current state of neuroimaging research on the acupuncture treatment of stroke. It provides a significant reference for future scholarly research, offering imaging evidence that elucidates the brain network mechanism of acupuncture interventions in stroke. However, the current study has certain limitations, including a predominance of single-center studies with small sample sizes and a lack of long-term follow-up. Future research should consider the implementation of multicenter, large-sample, clinical randomized controlled studies to further investigate the clinical efficacy of acupuncture and the potential brain network mechanisms that could enhance stroke recovery.</p>
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<sec sec-type="author-contributions" id="sec23">
<title>Author contributions</title>
<p>CK: Conceptualization, Data curation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. WS: Conceptualization, Data curation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. ZZ: Data curation, Formal analysis, Writing &#x2013; review &#x0026; editing. ZX: Data curation, Formal analysis, Writing &#x2013; review &#x0026; editing. MS: Data curation, Formal analysis, Writing &#x2013; review &#x0026; editing. JY: Data curation, Formal analysis, Writing &#x2013; review &#x0026; editing. SS: Supervision, Writing &#x2013; review &#x0026; editing. WZ: Funding acquisition, Supervision, Writing &#x2013; review &#x0026; editing.</p>
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<sec sec-type="funding-information" id="sec24">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This research was supported by Program of National Project of Traditional Chinese Medicine Inheritance and Innovation Center: Predominant diseases (ischemic stroke), National Natural Science Foundation of China (82374596); Hunan province key areas of research and development plan (No.2023SK2049). We thank the Home for Researchers editorial team (<ext-link xlink:href="https://www.home-forresearchers.com" ext-link-type="uri">www.home-forresearchers.com</ext-link>) and editage team (<ext-link xlink:href="https://www.editage.cn/" ext-link-type="uri">https://www.editage.cn/</ext-link>) for the language editing service.</p>
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<sec sec-type="COI-statement" id="sec25">
<title>Conflict of interest</title>
<p>The authors declare that the research 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="disclaimer" id="sec26">
<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>
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<sec sec-type="supplementary-material" id="sec27">
<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/fnins.2024.1495435/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fnins.2024.1495435/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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