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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Neurol.</journal-id>
<journal-title>Frontiers in Neurology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Neurol.</abbrev-journal-title>
<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.2025.1653647</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Neurology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Effects of microsurgery on short-term serum neurotransmitter levels and long-term cerebral neurological function in elderly patients with spontaneous intracerebral hemorrhage</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Zhang</surname><given-names>Yang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Pan</surname><given-names>Rujun</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Liao</surname><given-names>Zhengjian</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Yin</surname><given-names>Shaoya</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3112364/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
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<aff id="aff1"><sup>1</sup><institution>Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University</institution>, <addr-line>Tianjin</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Neurosurgery, Fuzhou University Affiliated Provincial Hospital (Fujian Provincial Hospital)</institution>, <addr-line>Fuzhou</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Neurosurgery, Tianjin Huanhu Hospital</institution>, <addr-line>Tianjin</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2726594/overview">Alexander Seiler</ext-link>, University of Kiel, Germany</p></fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1065422/overview">Brad Bohnstedt</ext-link>, Indiana University, United States</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2243847/overview">Salvatore D&#x2019;Amato</ext-link>, WellStar Health System, United States</p></fn>
<corresp id="c001">&#x002A;Correspondence: Shaoya Yin, <email>Shaoya_yin@163.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>03</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1653647</elocation-id>
<history>
<date date-type="received">
<day>25</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Zhang, Pan, Liao and Yin.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Zhang, Pan, Liao and Yin</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>Objective</title>
<p>This study explores the impact of microsurgery on postoperative serum neurotransmitter levels and long-term neurological outcomes in elderly spontaneous intracerebral hemorrhage (SICH) patients.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>A single-center, prospective, and single-arm cohort study was conducted, enrolling 106 elderly SICH patients aged &#x2265;60&#x202F;years who underwent microsurgical hematoma evacuation within 24&#x202F;h of onset. Serum levels of glutamate (Glu), gamma-aminobutyric acid (GABA), norepinephrine (NE), and serotonin (5-hydroxytryptamine, 5-HT) were measured before surgery and on postoperative day 7. Neurological outcomes were assessed at 180&#x202F;days using the modified Rankin Scale (mRS) and Glasgow Outcome Scale (GOS). Subgroup analyses were performed based on hematoma volume (&#x2265;30&#x202F;mL vs. &#x003C;30&#x202F;mL), hemorrhage location (basal ganglia, thalamus, or lobar), and preoperative Glasgow Coma Scale (GCS) scores (3&#x2013;8, 9&#x2013;12, or 13&#x2013;15). Pearson correlation analysis evaluated the relationship between neurotransmitter levels and outcomes.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>On postoperative day 7, Glu and NE levels decreased, while GABA and 5-HT levels increased. Larger hematoma volume, lobar location, and moderate GCS (9&#x2013;12) were associated with higher Glu/NE, lower GABA/5-HT, and worse mRS/GOS scores. Glu and NE levels positively correlated with mRS and negatively with GOS (<italic>p</italic> &#x003C;&#x202F;0.05); opposite trends were seen with GABA and 5-HT. A composite neurotransmitter score showed good prognostic accuracy, with an AUC of 0.894 (95% CI: 0.796&#x2013;0.992) for mRS&#x202F;&#x003E;&#x202F;2 and 0.846 (95% CI: 0.782&#x2013;0.910) for GOS&#x202F;&#x003C;&#x202F;4.</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>Following microsurgical hematoma evacuation in elderly SICH patients, postoperative neurotransmitter profiles were associated with long-term functional outcomes. Persistently high Glu/NE and low GABA/5-HT levels predicted poor recovery, especially in those with large or lobar hematomas.</p>
</sec>
</abstract>
<kwd-group>
<kwd>microsurgery</kwd>
<kwd>spontaneous intracerebral hemorrhage</kwd>
<kwd>neurotransmitters</kwd>
<kwd>cerebral neurological function</kwd>
<kwd>long-term functional outcomes</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="23"/>
<page-count count="8"/>
<word-count count="5553"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Stroke</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<label>1</label>
<title>Introduction</title>
<p>Spontaneous intracerebral hemorrhage (SICH) is an acute cerebrovascular event characterized by high mortality and disability rates, accounting for 15&#x2013;20% of all strokes (<xref ref-type="bibr" rid="ref1">1</xref>). In elderly populations, factors such as increased vascular fragility, hypertension, and cerebral amyloid angiopathy substantially elevate the risk of SICH, and outcomes in this group are poorer than in younger patients (<xref ref-type="bibr" rid="ref2">2</xref>). Despite advances in neurosurgical techniques and perioperative management in recent years, clinical treatment of SICH remains highly challenging. In particular, effective hematoma evacuation, mitigation of secondary brain injury, and promotion of neurological recovery remain critical issues in need of resolution.</p>
<p>Current management strategies for SICH include conservative treatment and surgical intervention. Conservative measures focus on blood pressure control, reduction of intracranial pressure, and maintenance of vital signs; however, their efficacy is limited in patients with moderate-to-large hemorrhages or impending herniation (<xref ref-type="bibr" rid="ref3">3</xref>). Surgical options encompass conventional craniotomy for hematoma removal, minimally invasive puncture and drainage, and microsurgical techniques. Among these, microsurgery, by virtue of its precision and minimally invasive approach, allows for maximal preservation of normal brain tissue while achieving thorough hematoma evacuation, and has become an important treatment modality for SICH recently (<xref ref-type="bibr" rid="ref4">4</xref>). Patients with cerebellar intracerebral hemorrhage (ICH) were excluded from this study because clot evacuation is rarely performed during decompressive surgery in this population. Although cerebellar and cerebral ICH share many underlying pathophysiological mechanisms&#x2014;including neurotransmitter alterations contributing to secondary injury&#x2014;the current evidence regarding neurotransmitter dynamics in cerebellar ICH is limited, and thus focusing on cerebral ICH enhances the consistency of intervention and outcome evaluation. Nevertheless, in elderly patients who often present with multiple comorbidities and reduced physiological reserve, the selection of surgical indications and the prospects for postoperative neurological recovery remain controversial.</p>
<p>Neurotransmitters are key mediators of inter-neuronal communication, and their dynamic balance is essential for normal brain function. It has been shown that, following SICH, hematoma-induced compression and ischemia-hypoxia provoke the excessive release of excitatory neurotransmitters, leading to excitotoxic neuronal injury (<xref ref-type="bibr" rid="ref5">5</xref>). Concurrent reductions in inhibitory neurotransmitters further exacerbate neurological dysfunction (<xref ref-type="bibr" rid="ref6">6</xref>). Accordingly, monitoring serum neurotransmitter fluctuations may offer novel biomarkers for assessing the extent of brain injury and predicting prognosis.</p>
<p>To date, few studies have examined the impact of microsurgical intervention on neurotransmitter dynamics in SICH patients, particularly within the elderly cohort. It remains to be determined whether surgical evacuation can effectively suppress the release of excitatory neurotransmitters, restore inhibitory neurotransmitter balance, and thereby improve neurological outcomes. Compared with conventional craniotomy, microsurgery offers the advantages of smaller incisions, clearer operative fields, and more complete hematoma removal, making it especially suitable for deep-seated hemorrhages (e.g., basal ganglia and thalamus) or those located in eloquent brain regions (<xref ref-type="bibr" rid="ref7">7</xref>). Several clinical investigations have demonstrated that microsurgical techniques can significantly reduce mortality and enhance postoperative neurological scores in SICH patients (<xref ref-type="bibr" rid="ref8">8</xref>). However, due to diminished cerebral compensatory capacity, elderly patients often exhibit slower postoperative recovery and greater variability in long-term outcomes. Against this backdrop, the present study aims to assess the impact of microsurgical hematoma evacuation on short-term serum neurotransmitter levels in elderly SICH patients and to explore their association with patient prognosis.</p>
</sec>
<sec sec-type="materials|methods" id="sec6">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec7">
<label>2.1</label>
<title>Study participants</title>
<p>This single-center, prospective, and single-arm cohort study enrolled 106 elderly patients with SICH admitted between January 2023 and December 2024, all of whom underwent microsurgical hematoma evacuation. Patients were included if they: (1) aged &#x2265;60&#x202F;years; (2) diagnosed with SICH by cranial computed tomography (CT); (3) had surgical treatment performed within 24&#x202F;h of admission; (4) had hematoma volume &#x2265;10&#x202F;mL, with planned microsurgical evacuation; (5) were willing to complete 180&#x202F;days of postoperative follow-up, with an expected survival &#x003E;3&#x202F;months; and (6) provided informed consent signed by patient or legal representative, with agreement to cooperate with follow-up. Excluded individuals: (1) had secondary intracerebral hemorrhage (e.g., ruptured aneurysm, cerebral vascular malformation, tumor-related hemorrhage, or hemorrhagic transformation of cerebral infarction); (2) had severe cardiac, hepatic, renal insufficiency, or other terminal illness; (3) had active malignancy or history of chemotherapy/radiotherapy within 6&#x202F;months; (4) developed major intracranial structural malformation affecting surgical approach or prognostic assessment; (5) died intraoperatively or early postoperatively (within 7&#x202F;days); (6) had preexisting neurological disorders (e.g., Parkinson&#x2019;s disease, Alzheimer&#x2019;s disease, epilepsy, or severe sequelae of traumatic brain injury); (7) had moderate-to-severe psychiatric disorders (e.g., major depressive disorder, anxiety disorders, bipolar disorder, or schizophrenia); and (8) used drugs known to affect neurotransmitter levels within long-term; (9) had cerebellar ICH. This study was approved by the Institutional Ethics Committee and conducted in accordance with the <italic>Declaration of Helsinki</italic>.</p>
</sec>
<sec id="sec8">
<label>2.2</label>
<title>Surgical procedure</title>
<p>All patients underwent microsurgical evacuation of the hematoma within 24&#x202F;h of admission. Cranial CT and magnetic resonance imaging (MRI) were employed by an experienced neurosurgical team to enable precise assessment of hematoma volume, determination of its location and relationship to eloquent brain structures, comprehensive evaluation of neurological status and surgical risk, and formulation of an individualized surgical plan. Under general anesthesia, patients were positioned supine or lateral with the head fixed in a three-pin head clamp to ensure adequate exposure of the surgical field without undue pressure. An appropriate depth of anesthesia was maintained under the vigilant monitoring of the anesthesiologist to ensure the stability of the patient&#x2019;s vital signs. After standard sterile preparation of the scalp and neck, a sterile drape was applied. According to the <italic>Guidelines for the Management of Spontaneous Intracerebral Hemorrhage</italic> from American Heart Association/American Stroke Association (<xref ref-type="bibr" rid="ref9">9</xref>, <xref ref-type="bibr" rid="ref10">10</xref>) and relevant neurosurgical protocols, image-guided localization determined the skin incision and bone flap design. A high-speed craniotome was used to create the craniotomy, balancing lesion exposure against maximal preservation of normal skull integrity.</p>
<p>Under an operating microscope (M530 OHX, Leica, Wetzlar, Germany), the dura mater was incised to expose the cortical surface, taking care to avoid injury to meningeal vessels. Using microsurgical techniques, the hematoma cavity was gently dissected, and hematoma material was removed with suction and microbayonet forceps to minimize mechanical injury and intraoperative bleeding. Intraoperative neurophysiological monitoring, including somatosensory evoked potentials and motor evoked potentials, was used to track neural function in real time. After hematoma evacuation, meticulous hemostasis was achieved and the cavity was irrigated repeatedly with sterile normal saline. A drainage catheter was placed in the hematoma cavity or subdural space as indicated to prevent fluid accumulation or rebleeding. The dura mater was closed, the bone flap replaced and secured with titanium plates and screws, and the scalp sutured.</p>
<p>Postoperatively, patients were transferred immediately to the neurological intensive care unit (NICU) for strict monitoring of vital signs and neurological status, including respiratory support, hemodynamic management, cerebral edema control, and infection prophylaxis. Sedation, anticonvulsant, and neuroprotective therapies were administered as clinically indicated. Intraoperative anesthesia, surgical procedures, and postoperative care were administered by the same medical team.</p>
</sec>
<sec id="sec9">
<label>2.3</label>
<title>Outcome measurement</title>
<sec id="sec10">
<label>2.3.1</label>
<title>Surgical parameters</title>
<p>These surgical parameters were recorded: operative time; length of hospital stay; time to postoperative consciousness recovery; intraoperative blood loss; and hematoma evacuation rate assessed by CT within 48&#x202F;h postoperatively.</p>
</sec>
<sec id="sec11">
<label>2.3.2</label>
<title>Serum neurotransmitter assessment</title>
<p>Venous blood samples (5&#x202F;mL) were collected in the fasting state on the morning before surgery and on postoperative day 7. Serum levels of the following neurotransmitters were measured using enzyme-linked immunosorbent assay (ELISA): glutamate (Glu), &#x03B3;-aminobutyric acid (GABA), norepinephrine (NE), and 5-hydroxytryptamine (5-HT). All assays were performed in a single laboratory according to the manufacturer&#x2019;s instructions.</p>
</sec>
<sec id="sec12">
<label>2.3.3</label>
<title>Follow-up and long-term prognosis</title>
<p>In addition to the 180-day follow-up evaluation, modified Rankin Scale (mRS) scores were also recorded at the time of hospital discharge for all patients. This allowed for evaluation of short-term functional changes and comparison with long-term recovery. Patients were followed for 180&#x202F;days via hospitalization records, outpatient visits, and telephone interviews. Complications (e.g., rebleeding, infection, or hydrocephalus) and mortality were recorded. At postoperative day 180, neurological function was evaluated using the modified Rankin Scale (mRS) and the Glasgow Outcome Scale (GOS), in which higher mRS scores indicate greater disability, whereas higher GOS scores denote better functional recovery. Subgroup analyses were conducted based on hematoma volume (&#x003C;30&#x202F;mL vs. &#x2265;30&#x202F;mL), hemorrhage location (basal ganglia, thalamus, or lobar regions), and preoperative Glasgow Coma Scale (GCS) score (&#x2264;8 vs. &#x003E;8) to compare neurotransmitter changes and long-term outcomes among groups.</p>
</sec>
</sec>
<sec id="sec13">
<label>2.4</label>
<title>Statistical analysis</title>
<p>Data were analyzed using SPSS version 26.0 (IBM Corp., Armonk, NY, USA) and R (R Foundation for Statistical Computing, Vienna, Austria). Continuous variables were tested for normality. Normally distributed data are presented as <inline-formula>
<mml:math id="M1">
<mml:mover accent="true">
<mml:mi>x</mml:mi>
<mml:mo stretchy="true">&#x00AF;</mml:mo>
</mml:mover>
</mml:math>
</inline-formula>&#x202F;&#x00B1;&#x202F;<italic>s</italic>, with paired <italic>t</italic>-tests for within-group comparisons and independent <italic>t</italic>-tests or one-way analysis of variance (ANOVA) for subgroup comparisons. Non-normally distributed data are expressed as median [M (P25, P75)] and compared using the Wilcoxon signed-rank test for intra-group comparison, or the Mann&#x2013;Whitney U test/Kruskal&#x2013;Wallis test for inter-group comparison. Categorical variables are presented as frequencies and percentages, with between-group comparisons by <italic>&#x03C7;</italic><sup>2</sup> test or Fisher&#x2019;s exact test. Pearson correlation analysis was used to assess relationships between postoperative neurotransmitter changes and long-term functional scores. A two-sided <italic>p</italic>-value &#x003C;0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="sec14">
<label>3</label>
<title>Results</title>
<sec id="sec15">
<label>3.1</label>
<title>Patient baseline characteristics</title>
<p>A total of 106 elderly patients with SICH were enrolled, including 72 men (67.9%) and 34 women (32.1%). The mean age was 70.55&#x202F;&#x00B1;&#x202F;6.01&#x202F;years and the mean body mass index (BMI) was 22.93&#x202F;&#x00B1;&#x202F;4.10&#x202F;kg/m<sup>2</sup>. The average hematoma volume was 28.84&#x202F;&#x00B1;&#x202F;9.42&#x202F;mL, and the mean preoperative GCS score was 11.19&#x202F;&#x00B1;&#x202F;3.48. Comorbidities included hypertension (<italic>n</italic>&#x202F;=&#x202F;74), diabetes (<italic>n</italic>&#x202F;=&#x202F;29), atrial fibrillation (<italic>n</italic>&#x202F;=&#x202F;26), coronary artery disease (<italic>n</italic>&#x202F;=&#x202F;24), and a history of prior stroke (<italic>n</italic>&#x202F;=&#x202F;17).</p>
</sec>
<sec id="sec16">
<label>3.2</label>
<title>Surgical parameter data</title>
<p>The mean operative time was 119.36&#x202F;&#x00B1;&#x202F;23.49&#x202F;min. The average length of hospital stay was 14.94&#x202F;&#x00B1;&#x202F;5.26&#x202F;days. The time to postoperative consciousness recovery averaged 17.33&#x202F;&#x00B1;&#x202F;6.30&#x202F;h. Mean intraoperative blood loss was 31.71&#x202F;&#x00B1;&#x202F;15.72&#x202F;mL. The hematoma evacuation rate on 48-h postoperative CT was 86.45%&#x202F;&#x00B1;&#x202F;7.00%.</p>
</sec>
<sec id="sec17">
<label>3.3</label>
<title>Changes in serum neurotransmitters</title>
<p>From preoperative to postoperative day 7, Glu and NE levels decreased significantly, while GABA and 5-HT levels increased significantly (all <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) (<xref ref-type="table" rid="tab1">Table 1</xref>; <xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Pre- and postoperative serum neurotransmitter level changes (<inline-formula>
<mml:math id="M2">
<mml:mover accent="true">
<mml:mi>x</mml:mi>
<mml:mo stretchy="true">&#x00AF;</mml:mo>
</mml:mover>
<mml:mo>&#x00B1;</mml:mo>
<mml:mi>s</mml:mi>
</mml:math>
</inline-formula>, ng/mL).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Parameters</th>
<th align="center" valign="top">Preoperative</th>
<th align="center" valign="top">Postoperative day 7</th>
<th align="center" valign="top"><italic>t</italic></th>
<th align="center" valign="top"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Glu</td>
<td align="center" valign="middle">24.46&#x202F;&#x00B1;&#x202F;3.51</td>
<td align="center" valign="middle">17.48&#x202F;&#x00B1;&#x202F;3.20</td>
<td align="center" valign="middle">61.372</td>
<td align="center" valign="middle">0.000</td>
</tr>
<tr>
<td align="left" valign="middle">GABA</td>
<td align="center" valign="middle">0.39&#x202F;&#x00B1;&#x202F;0.09</td>
<td align="center" valign="middle">0.55&#x202F;&#x00B1;&#x202F;0.11</td>
<td align="center" valign="middle">&#x2212;42.018</td>
<td align="center" valign="middle">0.000</td>
</tr>
<tr>
<td align="left" valign="middle">NE</td>
<td align="center" valign="middle">0.69&#x202F;&#x00B1;&#x202F;0.08</td>
<td align="center" valign="middle">0.53&#x202F;&#x00B1;&#x202F;0.08</td>
<td align="center" valign="middle">50.447</td>
<td align="center" valign="middle">0.000</td>
</tr>
<tr>
<td align="left" valign="middle">5-HT</td>
<td align="center" valign="middle">0.09&#x202F;&#x00B1;&#x202F;0.01</td>
<td align="center" valign="middle">0.12&#x202F;&#x00B1;&#x202F;0.02</td>
<td align="center" valign="middle">&#x2212;33.624</td>
<td align="center" valign="middle">0.000</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Pre- and postoperative trends in serum neurotransmitter levels. <bold>(A&#x2013;D)</bold> Comparisons of preoperative versus postoperative day 7 levels of Glu, GABA, NE, and 5-HT; &#x002A;&#x002A;&#x002A;&#x002A; denotes <italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001.</p>
</caption>
<graphic xlink:href="fneur-16-1653647-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Line graphs showing levels of neurotransmitters before and after surgery. Panel A displays a significant decrease in Glu levels from about 27 to 20 nanograms per milliliter. Panel B shows a significant increase in GABA levels from about 0.4 to 0.6 nanograms per milliliter. Panel C illustrates a significant decrease in NE levels from about 0.75 to 0.55 nanograms per milliliter. Panel D shows a significant increase in 5-HT levels from about 0.08 to 0.12 nanograms per milliliter. Significance is indicated by four asterisks.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec18">
<label>3.4</label>
<title>Prognosis outcome</title>
<p>At postoperative day 180, there were no deaths. The mean mRS score was 3.09&#x202F;&#x00B1;&#x202F;0.35, indicating that most patients had regained a good degree of independence. The mean GOS score was 2.92&#x202F;&#x00B1;&#x202F;0.34, reflecting overall favorable neurological recovery. Postoperative complications occurred in 26 patients (24.5%): 15 rebleeds, 3 infections, 4 cases of hydrocephalus, and 4 instances of cerebral vasospasm (<xref ref-type="fig" rid="fig2">Figure 2</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Neurological functional outcomes and complications at 180 days postoperatively. <bold>(A)</bold> Distribution of mRS and GOS scores at 180 days after surgery. <bold>(B)</bold> Incidence of postoperative complications.</p>
</caption>
<graphic xlink:href="fneur-16-1653647-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar charts titled A and B. Chart A shows mean scores for 180-day mRS and GOS, both around 3 points. Chart B depicts the number of cases for complications: rebleeding (around 12), infection, hydrocephalus, vasospasm (around 3 each), and total complications (around 27).</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec19">
<label>3.5</label>
<title>Comparison of postoperative day 7 serum neurotransmitter levels and 180-day long-term neurological function indicators among subgroups</title>
<p>Subgroup analyses were performed based on hematoma volume, hemorrhage location, and preoperative GCS score. When stratified by hematoma volume, 37 patients had volumes &#x2265;30&#x202F;mL and 69 had volumes &#x003C;30&#x202F;mL. The hematoma (&#x2265;30&#x202F;mL) group demonstrated significantly higher Glu, NE levels, and mRS scores than the hematoma (&#x003C;30&#x202F;mL) group, whereas GABA and 5-HT levels and GOS scores were significantly lower (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). By hemorrhage location, 53 patients (49.6%) had basal ganglia hemorrhages, 32 (30.2%) had thalamic hemorrhages, and 21 (20.2%) had lobar hemorrhages. Patients with lobar hemorrhages exhibited significantly higher Glu and NE levels and lower GABA and 5-HT levels compared with both basal ganglia and thalamic groups (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). Additionally, the lobar group had a significantly lower GOS score than the thalamic group, although mRS scores did not differ significantly among the three locations (<italic>p</italic>&#x202F;&#x003E;&#x202F;0.05). According to preoperative GCS score, 53 patients (49.6%) were classified as high score (13&#x2013;15), 32 (30.2%) as middle score (9&#x2013;12), and 21 (20.2%) as low score (3&#x2013;8). The middle-score group (GCS 9&#x2013;12) had the highest Glu levels and lowest GABA levels, while the low-score group (GCS 3&#x2013;8) showed significantly lower 5-HT levels (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). Moreover, the middle-score group had the worst mRS and lowest GOS scores, indicating the poorest neurological recovery among the three groups (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Comparison of day 7 postoperative serum neurotransmitter levels and 180-day outcomes across subgroups.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" colspan="2">Subgroups</th>
<th align="center" valign="top">Glu (ng/mL)</th>
<th align="center" valign="top">GABA (ng/mL)</th>
<th align="center" valign="top">NE (ng/mL)</th>
<th align="center" valign="top">5-HT (ng/mL)</th>
<th align="center" valign="top">mRS (scores)</th>
<th align="center" valign="top">GOS (scores)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" rowspan="4">Hematoma volume</td>
<td align="center" valign="middle">&#x2265;30&#x202F;mL (<italic>n</italic> =&#x202F;37)</td>
<td align="center" valign="middle">20.70&#x202F;&#x00B1;&#x202F;2.29</td>
<td align="center" valign="middle">0.43&#x202F;&#x00B1;&#x202F;0.04</td>
<td align="center" valign="middle">0.62&#x202F;&#x00B1;&#x202F;0.06</td>
<td align="center" valign="middle">0.11&#x202F;&#x00B1;&#x202F;0.02</td>
<td align="center" valign="middle">3.24&#x202F;&#x00B1;&#x202F;0.44</td>
<td align="center" valign="middle">2.76&#x202F;&#x00B1;&#x202F;0.44</td>
</tr>
<tr>
<td align="center" valign="middle">&#x003C;30&#x202F;mL (<italic>n</italic> =&#x202F;69)</td>
<td align="center" valign="middle">15.75&#x202F;&#x00B1;&#x202F;2.09</td>
<td align="center" valign="middle">0.62&#x202F;&#x00B1;&#x202F;0.09</td>
<td align="center" valign="middle">0.48&#x202F;&#x00B1;&#x202F;0.04</td>
<td align="center" valign="middle">0.12&#x202F;&#x00B1;&#x202F;0.01</td>
<td align="center" valign="middle">3.01&#x202F;&#x00B1;&#x202F;0.27</td>
<td align="center" valign="middle">3.00&#x202F;&#x00B1;&#x202F;0.24</td>
</tr>
<tr>
<td align="center" valign="middle"><italic>t</italic></td>
<td align="center" valign="middle">11.237</td>
<td align="center" valign="middle">&#x2212;12.374</td>
<td align="center" valign="middle">16.183</td>
<td align="center" valign="middle">&#x2212;2.034</td>
<td align="center" valign="middle">3.333</td>
<td align="center" valign="middle">&#x2212;3.703</td>
</tr>
<tr>
<td align="center" valign="middle"><italic>p</italic></td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.045</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="5">Hematoma location</td>
<td align="center" valign="middle">Basal ganglia, (<italic>n</italic> =&#x202F;53)</td>
<td align="center" valign="middle">17.13&#x202F;&#x00B1;&#x202F;3.44</td>
<td align="center" valign="middle">0.57&#x202F;&#x00B1;&#x202F;0.12</td>
<td align="center" valign="middle">0.51&#x202F;&#x00B1;&#x202F;0.08</td>
<td align="center" valign="middle">0.12&#x202F;&#x00B1;&#x202F;0.02</td>
<td align="center" valign="middle">3.08&#x202F;&#x00B1;&#x202F;0.39</td>
<td align="center" valign="middle">2.92&#x202F;&#x00B1;&#x202F;0.38</td>
</tr>
<tr>
<td align="center" valign="middle">Thalamus (<italic>n</italic> =&#x202F;32)</td>
<td align="center" valign="middle">16.48&#x202F;&#x00B1;&#x202F;2.04</td>
<td align="center" valign="middle">0.58&#x202F;&#x00B1;&#x202F;0.09</td>
<td align="center" valign="middle">0.51&#x202F;&#x00B1;&#x202F;0.05</td>
<td align="center" valign="middle">0.12&#x202F;&#x00B1;&#x202F;0.01</td>
<td align="center" valign="middle">3.06&#x202F;&#x00B1;&#x202F;0.25</td>
<td align="center" valign="middle">3.00&#x202F;&#x00B1;&#x202F;0.01</td>
</tr>
<tr>
<td align="center" valign="middle">Lobar (<italic>n</italic> =&#x202F;21)</td>
<td align="center" valign="middle">19.89&#x202F;&#x00B1;&#x202F;2.95</td>
<td align="center" valign="middle">0.47&#x202F;&#x00B1;&#x202F;0.08</td>
<td align="center" valign="middle">0.60&#x202F;&#x00B1;&#x202F;0.08</td>
<td align="center" valign="middle">0.10&#x202F;&#x00B1;&#x202F;0.01</td>
<td align="center" valign="middle">3.19&#x202F;&#x00B1;&#x202F;0.40</td>
<td align="center" valign="middle">2.76&#x202F;&#x00B1;&#x202F;0.44</td>
</tr>
<tr>
<td align="center" valign="middle"><italic>F</italic></td>
<td align="center" valign="middle">8.983</td>
<td align="center" valign="middle">8.777</td>
<td align="center" valign="middle">12.293</td>
<td align="center" valign="middle">19.747</td>
<td align="center" valign="middle">0.986</td>
<td align="center" valign="middle">3.259</td>
</tr>
<tr>
<td align="center" valign="middle"><italic>p</italic></td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.376</td>
<td align="center" valign="middle">0.042</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="5">Preoperative GCS scores</td>
<td align="center" valign="middle">High (13&#x2013;15, <italic>n</italic> =&#x202F;53)</td>
<td align="center" valign="middle">16.38&#x202F;&#x00B1;&#x202F;2.58</td>
<td align="center" valign="middle">0.59&#x202F;&#x00B1;&#x202F;0.11</td>
<td align="center" valign="middle">0.52&#x202F;&#x00B1;&#x202F;0.07</td>
<td align="center" valign="middle">0.12&#x202F;&#x00B1;&#x202F;0.01</td>
<td align="center" valign="middle">3.03&#x202F;&#x00B1;&#x202F;0.31</td>
<td align="center" valign="middle">3.03&#x202F;&#x00B1;&#x202F;0.18</td>
</tr>
<tr>
<td align="center" valign="middle">Medium (9&#x2013;12, <italic>n</italic> =&#x202F;32)</td>
<td align="center" valign="middle">19.97&#x202F;&#x00B1;&#x202F;2.93</td>
<td align="center" valign="middle">0.47&#x202F;&#x00B1;&#x202F;0.07</td>
<td align="center" valign="middle">0.55&#x202F;&#x00B1;&#x202F;0.10</td>
<td align="center" valign="middle">0.12&#x202F;&#x00B1;&#x202F;0.01</td>
<td align="center" valign="middle">3.24&#x202F;&#x00B1;&#x202F;0.44</td>
<td align="center" valign="middle">2.69&#x202F;&#x00B1;&#x202F;0.47</td>
</tr>
<tr>
<td align="center" valign="middle">Low (3&#x2013;8, <italic>n</italic> =&#x202F;21)</td>
<td align="center" valign="middle">17.28&#x202F;&#x00B1;&#x202F;3.58</td>
<td align="center" valign="middle">0.57&#x202F;&#x00B1;&#x202F;0.12</td>
<td align="center" valign="middle">0.54&#x202F;&#x00B1;&#x202F;0.10</td>
<td align="center" valign="middle">0.09&#x202F;&#x00B1;&#x202F;0.01</td>
<td align="center" valign="middle">3.07&#x202F;&#x00B1;&#x202F;0.27</td>
<td align="center" valign="middle">2.86&#x202F;&#x00B1;&#x202F;0.36</td>
</tr>
<tr>
<td align="center" valign="middle"><italic>F</italic></td>
<td align="center" valign="middle">16.120</td>
<td align="center" valign="middle">11.976</td>
<td align="center" valign="middle">1.471</td>
<td align="center" valign="middle">79.398</td>
<td align="center" valign="middle">3.727</td>
<td align="center" valign="middle">12.424</td>
</tr>
<tr>
<td align="center" valign="middle"><italic>p</italic></td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.234</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.027</td>
<td align="center" valign="middle">0.000</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec20">
<label>3.6</label>
<title>Correlation between postoperative day 7 neurotransmitter levels and 180-day outcomes</title>
<p>Pearson correlation analysis was performed to assess the relationships between postoperative neurotransmitter level changes and long-term neurological function scores. On postoperative day 7, Glu and NE levels exhibited significant positive correlations with mRS scores (<italic>p</italic> &#x003C;&#x202F;0.05), whereas GABA and 5-HT levels demonstrated significant negative correlations with mRS scores (<italic>p</italic> &#x003C;&#x202F;0.05). Conversely, Glu and NE levels correlated negatively with GOS scores (<italic>p</italic> &#x003C;&#x202F;0.05), while GABA and 5-HT levels correlated positively with GOS scores (<italic>p</italic> &#x003C;&#x202F;0.05) (<xref ref-type="fig" rid="fig3">Figure 3A</xref>). To further evaluate the prognostic value of these neurotransmitter alterations, a composite neurotransmitter score was calculated and subjected to ROC curve analysis. The score showed good predictive performance for poor neurological outcomes at 180&#x202F;days. For mRS&#x202F;&#x003E;&#x202F;2, the area under the curve (AUC) was 0.894 (95% CI: 0.796&#x2013;0.992); for GOS&#x202F;&#x003C;&#x202F;4, the AUC was 0.846 (95% CI: 0.782&#x2013;0.910) (<xref ref-type="fig" rid="fig3">Figure 3B</xref>).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Correlation and prognostic value of serum neurotransmitters. <bold>(A)</bold> Pearson correlation analysis between serum neurotransmitter levels on postoperative day 7 and neurological functional outcomes at 180&#x202F;days (e.g., mRS and GOS scores). <bold>(B)</bold> Receiver operating characteristic (ROC) curves assessing the predictive performance of neurotransmitter-based composite scores for poor neurological outcomes (defined as mRS&#x202F;&#x003E;&#x202F;2 or GOS&#x202F;&#x003C;&#x202F;4).</p>
</caption>
<graphic xlink:href="fneur-16-1653647-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Heatmap and ROC curve analysis. The heatmap shows correlation values for neurotransmitters and outcomes, with color gradients from purple (-1 correlation) to yellow (1 correlation). The corresponding labels include mRS_180d, GOS_180d, 5-HT_7d, NE_7d, GABA_7d, and Glu_7d. The ROC curve graph compares mRS greater than 2 and GOS less than 4, with AUC values of 0.894 and 0.846, respectively, and confidence intervals indicated.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec21">
<label>4</label>
<title>Discussion</title>
<p>The pathophysiological process of SICH is divided into primary and secondary injury phases. Primary injury is induced predominantly by the mass effect of the hematoma, resulting in compression of adjacent brain tissue, increased intracranial pressure, and reduced cerebral perfusion (<xref ref-type="bibr" rid="ref11">11</xref>). Secondary injury involves complex molecular mechanisms, including inflammatory responses, oxidative stress, blood&#x2013;brain barrier disruption, and excitotoxicity mediated by excitatory amino acids such as Glu (<xref ref-type="bibr" rid="ref12">12</xref>). Together, these factors precipitate neuronal apoptosis and neurological deficits, severely compromising patient quality of life and long-term prognosis. With the aging of China&#x2019;s population, the incidence of SICH in the elderly has risen, imposing a substantial burden on both society and families. Existing studies have demonstrated that direct hematoma mass effect, secondary edema, and inflammatory cascades are the principal drivers of post-hemorrhagic neurological injury (<xref ref-type="bibr" rid="ref13">13</xref>). Alterations in neurotransmitter levels, particularly Glu and GABA, have been shown to correlate closely with the extent of tissue injury and functional recovery, suggesting their potential utility as early biological markers. Conservative management affords some benefit in blood-pressure control, intracranial pressure reduction, and vital-sign support but provides limited efficacy in hematoma evacuation. In recent years, microsurgical hematoma evacuation has been increasingly adopted for SICH treatment owing to its minimal invasiveness, precise technique, and capacity for thorough clot removal with reduced collateral tissue damage. This approach has been particularly advocated for patients presenting with moderate-to-large hematomas or impending herniation. Nonetheless, the effects of microsurgery on short-term serum neurotransmitter dynamics and long-term neurological recovery in elderly SICH patients remain inadequately characterized.</p>
<p>In the present study of 106 elderly SICH patients undergoing microsurgical evacuation, significant postoperative reductions in Glu and NE levels and concomitant elevations in GABA and 5-HT levels were observed at postoperative day 7. These findings suggest that, beyond its anatomic decompressive effects, microsurgical clot removal may facilitate restoration of neurotransmitter homeostasis at the molecular level, thereby improving neurological outcomes.</p>
<p>Glu and NE represent the principal excitatory neurotransmitters in the brain and are known to rise markedly following SICH, contributing to excitotoxicity, cerebral edema, blood&#x2013;brain barrier disruption, and activation of inflammatory mediators. Elevated plasma Glu levels in SICH patients has been reported to be closely associated with early postoperative edema formation and poor prognosis (<xref ref-type="bibr" rid="ref14">14</xref>), while other investigators have demonstrated that NE-mediated sympathetic overactivation exacerbates secondary brain injury (<xref ref-type="bibr" rid="ref15">15</xref>). The significant reductions in Glu and NE levels observed in this study at postoperative day 7 implied that precise hematoma evacuation and mechanical decompression afforded by microsurgery may attenuate the persistent release of excitatory transmitters and inhibit secondary neuronal injury. These results align with those scholars who found that stereotactic clot evacuation reduced Glu levels and improved acute consciousness states (<xref ref-type="bibr" rid="ref16">16</xref>), further underscoring the mechanistic importance of early surgical intervention in controlling excitotoxicity. By contrast, GABA and 5-HT are prototypical inhibitory neurotransmitters whose postoperative elevations may reflect activation of endogenous neuroprotective mechanisms that buffer excitotoxic damage and promote neural plasticity and reconnection. Activation of the 5-HT signaling pathway after intracerebral hemorrhage correlated with accelerated functional recovery (<xref ref-type="bibr" rid="ref17">17</xref>), and GABA upregulation has been linked to reduced inflammatory mediators and preservation of eloquent cortex.</p>
<p>Subgroup analysis elucidated key clinical factors influencing surgical efficacy. Patients with hematoma volumes &#x2265;30&#x202F;mL exhibited higher Glu and NE levels and poorer outcomes, indicating that hematoma load directly impacts postoperative neurotransmitter metabolism and functional recovery. Larger bleeds produce more extensive tissue compression and destruction, triggering more severe Glu excitotoxicity and NE-related stress responses. This imbalance exacerbates secondary injury, disrupts neural network remodeling, and impairs long-term recovery. Conversely, smaller hematomas were associated with more moderate neurotransmitter shifts and better functional prognosis, suggesting hematoma volume as a critical predictor of postoperative metabolic re-equilibration and outcome. By hemorrhage location, the lobar group manifested the highest Glu and NE levels, lowest GABA and 5-HT levels, and a significantly lower GOS score compared with the thalamic group. The cerebral lobes, particularly frontal and temporal regions, subserve motor, language, and higher cognitive functions. Lobar hemorrhages, though less frequent than basal ganglia or thalamic bleeds, produce more direct cortical disruption and consequent deficits. The elevated excitatory (Glu and NE) and reduced inhibitory transmitter (GABA and 5-HT) profile indicated excessive local neuronal activation and dysregulation, underscoring the need for early intensive intervention and rehabilitation. Additionally, patients with moderate preoperative GCS scores (<xref ref-type="bibr" rid="ref9 ref10 ref11 ref12">9&#x2013;12</xref>) fared worst across multiple parameters, suggesting that moderate impairment may reflect a precarious balance between primary and secondary injury. This finding is not entirely consistent with the linear relationship between lower GCS scores and poorer prognosis reported in previous research (<xref ref-type="bibr" rid="ref18">18</xref>). One possible explanation is that patients with moderate impairment (GCS 9&#x2013;12) may not exhibit as severe a clinical presentation as those in deep coma (GCS 3&#x2013;8), and therefore may not receive as prompt initiation of therapeutic interventions, while also lacking the relative stability observed in patients with mild impairment (GCS 13&#x2013;15). Such patients may exist in a state of pathological compensation, during which cerebral edema and metabolic dysregulation progressively worsen, while excitatory neurotransmitter release remains elevated, and inhibitory neurotransmitter regulation is insufficient. In this &#x201C;pre-decompensation&#x201D; phase, disease progression may be misjudged or treatment delayed, predisposing these patients to postoperative extension of secondary injury and resulting in the poorest long-term neurological recovery.</p>
<p>mRS and GOS are standard tools for prognostic assessment, reflecting functional independence and global neurological recovery, respectively. At postoperative day 180, overall outcomes were favorable. Strong correlations were identified between postoperative day 7 neurotransmitter levels and long-term mRS and GOS scores, which suggested that microsurgical hematoma evacuation may facilitate the restoration of neurological function in elderly SICH patients, and that acute-phase alterations in neurotransmitter levels may serve as reliable predictors of long-term neurological recovery. Specifically, higher Glu and NE levels predicted higher mRS and lower GOS scores, whereas elevated GABA and 5-HT levels were associated with better outcomes. These correlations highlight the enduring impact of acute-phase neurochemical milieu on subsequent neural network remodeling and functional restoration. Excessive postoperative excitatory neurotransmission promotes calcium influx, mitochondrial dysfunction, and free-radical generation, exacerbating neuron loss and sustaining secondary injury (<xref ref-type="bibr" rid="ref19">19</xref>, <xref ref-type="bibr" rid="ref20">20</xref>). Failure of timely reduction in their concentrations may portend ongoing tissue damage and compromised recovery. Previous animal study has similarly linked persistent Glu elevation with perihematomal metabolic disturbances and delayed apoptosis (<xref ref-type="bibr" rid="ref21">21</xref>).</p>
<p>Conversely, GABA and 5-HT, as central inhibitory modulators, exert anti-excitotoxic, anti-inflammatory, and neuroplasticity-promoting effects. Patients exhibiting postoperative day 7 increases in GABA and 5-HT demonstrated significantly better 180-day functional recovery, indicating that activation of inhibitory pathways may create a permissive environment for tissue repair and network reconstitution. This observation concurs with reports of 5-HT-mediated axonal regeneration and functional improvement (<xref ref-type="bibr" rid="ref22">22</xref>), and it supports exploration of GABAergic enhancement therapies in brain-injury rehabilitation. Thus, postoperative neurotransmitter profiling may serve not only as a biomarker of injury evolution but also as a potential target for tailored long-term interventions, such as early Glu/NE antagonists and GABA/5-HT augmenting agents, to optimize outcomes in elderly SICH patients. Although serum measurements cannot fully reflect central neurotransmitter dynamics due to the blood&#x2013;brain barrier and peripheral metabolic influences, prior studies have shown meaningful correlations between serum and cerebrospinal fluid (CSF) levels of key neurotransmitters such as Glu and GABA in acute brain injury (<xref ref-type="bibr" rid="ref23">23</xref>). Therefore, serum profiles may still provide clinically relevant insights into central neurochemical status and functional recovery.</p>
<p>Additionally, ROC analysis demonstrated that the combined neurotransmitter score robustly predicted poor neurological outcomes, with AUCs of 0.894 for mRS&#x202F;&#x003E;&#x202F;2 and 0.846 for GOS&#x202F;&#x003C;&#x202F;4, supporting its value as a prognostic biomarker.</p>
</sec>
<sec id="sec22">
<label>5</label>
<title>Research significance and limitations</title>
<p>This study has several limitations. First, as a single-center and prospective observational investigation with a limited sample size, the findings may not fully capture the heterogeneity of the broader patient population. Second, although serum neurotransmitter levels provide valuable insight into cerebral metabolic status, they cannot be assumed to directly mirror central nervous system neurotransmitter dynamics. Future studies should incorporate cerebrospinal fluid assays or metabolic neuroimaging modalities for validation. Third, postoperative interventions, such as rehabilitative therapy and pharmacological support, were not uniformly controlled, which may have introduced confounding effects on long-term functional outcomes. Fourth, although mRS scores at hospital discharge were systematically recorded, they were not included in detailed analysis. This decision was made to maintain consistency with the study&#x2019;s primary objective&#x2014;evaluating long-term neurological function at 180&#x202F;days. Discharge mRS scores may be influenced by transient perioperative factors, variable hospital stay durations, and early complications, potentially limiting their ability to reflect true recovery status. By focusing on the 180-day mRS, the study aimed to provide a more stable and clinically meaningful assessment of functional outcome. Nevertheless, future studies incorporating serial mRS assessments at multiple early and late time points may offer a more comprehensive understanding of recovery trajectories following microsurgical hematoma evacuation.</p>
</sec>
<sec sec-type="conclusions" id="sec23">
<label>6</label>
<title>Conclusion</title>
<p>Postoperative shifts in serum neurotransmitter levels, particularly elevated Glu and NE alongside reduced GABA and 5-HT, were consistently associated with poorer long-term neurological outcomes in this cohort. These associations remained evident across correlation and ROC analyses, suggesting that neurotransmitter profiles may reflect the underlying neurophysiological status after hematoma evacuation. While the present findings are limited by the absence of a non-surgical control group, they offer a basis for further investigation into the utility of serum neurotransmitters as adjunctive indicators in postoperative assessment and prognostic stratification.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec24">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="ethics-statement" id="sec25">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Fujian Provincial Hospital (No. K2023-01-026). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="sec26">
<title>Author contributions</title>
<p>YZ: Conceptualization, Data curation, Software, Writing &#x2013; original draft. RP: Data curation, Formal analysis, Writing &#x2013; original draft. ZL: Resources, Validation, Writing &#x2013; review &#x0026; editing. SY: Investigation, Methodology, Supervision, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec27">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
</sec>
<sec sec-type="COI-statement" id="sec28">
<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="ai-statement" id="sec29">
<title>Generative AI statement</title>
<p>The authors declare that no Gen AI was 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="sec30">
<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>
<ref-list>
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