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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Psychiatry</journal-id>
<journal-title-group>
<journal-title>Frontiers in Psychiatry</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Psychiatry</abbrev-journal-title>
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<issn pub-type="epub">1664-0640</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fpsyt.2026.1778601</article-id>
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<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Individualized rs-fMRI reveals brain-circuit heterogeneity and predicts early recurrence in trigeminal neuralgia</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Ma</surname><given-names>Zhongshuai</given-names></name>
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<contrib contrib-type="author">
<name><surname>Wang</surname><given-names>Zhengming</given-names></name>
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<name><surname>Su</surname><given-names>Xu</given-names></name>
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<name><surname>Cheng</surname><given-names>Min</given-names></name>
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<name><surname>Wang</surname><given-names>Zhijia</given-names></name>
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<name><surname>Du</surname><given-names>Chao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<name><surname>Tian</surname><given-names>Yu</given-names></name>
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<aff id="aff1"><label>1</label><institution>Department of Neurosurgery, China-Japan Union Hospital of Jilin University</institution>, <city>Changchun</city>, <state>Jilin</state>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Trauma Center, China-Japan Union Hospital of Jilin University</institution>, <city>Changchun</city>, <state>Jilin</state>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Neurosurgery, Xinqiao Hospital, Army Medical University</institution>, <city>Chongqing</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff4"><label>4</label><institution>Department of Radiology, China-Japan Union Hospital of Jilin University</institution>, <city>Changchun</city>, <state>Jilin</state>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Chao Du, <email xlink:href="mailto:duchao@jlu.edu.cn">duchao@jlu.edu.cn</email>; Yu Tian, <email xlink:href="mailto:tianyu@jlu.edu.cn">tianyu@jlu.edu.cn</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-20">
<day>20</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1778601</elocation-id>
<history>
<date date-type="received">
<day>31</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>03</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>26</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Ma, Wang, Su, Cheng, Wang, Du and Tian.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Ma, Wang, Su, Cheng, Wang, Du and Tian</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-20">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Objective</title>
<p>To identify abnormal brain regions in patients with trigeminal neuralgia (TN) and screen for specific regions that can predict short-term recurrence after percutaneous radiofrequency ablation (RFT).</p>
</sec>
<sec>
<title>Methods</title>
<p>Resting-state functional magnetic resonance imaging (rs-fMRI) was used to identify differential brain regions in TN patients. An individualized rs-fMRI approach was applied to screen for recurrence-related brain regions in patients undergoing RFT. Among these, regions with a 100% recurrence rate were classified as high-risk recurrence regions. Treatment outcomes and changes in these differential brain regions were observed postoperatively.</p>
</sec>
<sec>
<title>Results</title>
<p>Thirty TN patients exhibited 19 differential brain regions. Four of these&#x2014;Rolandic_Oper_L, Cerebellum_9_L, Lingual_R, and Calcarine_L&#x2014;were newly identified as abnormal regions in TN. Among the 15 patients who underwent RFT, 15 potential recurrence-related regions were found. Six of these&#x2014;contralateral Insula_L, Fusiform_L, Vermis_3, and Temporal_Sup_L; ipsilateral Cerebellum_3_R; and ipsilateral Fusiform_R (when involving V1 division pain)&#x2014;were identified as high-risk recurrence regions. Follow-up scans confirmed that these recurrence-related differential brain regions were either eliminated or attenuated after surgery.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Patients with trigeminal neuralgia exhibit abnormalities in multiple brain regions. These findings demonstrate that individualized functional imaging biomarkers provide an effective framework for stratifying the risk of early postoperative recurrence. Specifically, abnormalities in the Insula_L, Fusiform_L, Cerebellum_3_R, Temporal_Sup_L, Vermis_3, and Fusiform_R can be defined as high-risk brain regions for predicting short-term recurrence after radiofrequency ablation.</p>
</sec>
</abstract>
<kwd-group>
<kwd>individualized analysis</kwd>
<kwd>neuromodulation</kwd>
<kwd>precision biomarker</kwd>
<kwd>recurrence</kwd>
<kwd>regional homogeneity</kwd>
<kwd>resting-state fMRI</kwd>
<kwd>risk stratification</kwd>
<kwd>trigeminal neuralgia</kwd>
</kwd-group>
<funding-group>
<award-group id="gs1">
<funding-source id="sp1">
<institution-wrap>
<institution>Natural Science Foundation of Jilin Province</institution>
<institution-id institution-id-type="doi" vocab="open-funder-registry" vocab-identifier="10.13039/open_funder_registry">10.13039/100007847</institution-id>
</institution-wrap>
</funding-source>
</award-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This work was supported by Natural Science Foundation of Jilin Province (Grant No. YDZJ202501ZYTS012) under the Basic Research Program, focusing on Medical Sciences.</funding-statement>
</funding-group>
<counts>
<fig-count count="11"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="45"/>
<page-count count="19"/>
<word-count count="5960"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Psychological Therapy and Psychosomatics</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Trigeminal neuralgia (TN) is a severe neurological disorder characterized by paroxysmal pain (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). The primary surgical treatment modalities for TN include: microvascular decompression(MVD), percutaneous radiofrequency thermocoagulation (RFT), and gamma knife radiosurgery (GKS) (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). The coexistence of multiple surgical approaches for TN stems from the distinct advantages and disadvantages associated with each method. RFT offers a higher safety profile, with no reported mortality or severe disability, making it suitable for patients without confirmed vascular compression on CNV, elderly patients, or those with comorbidities precluding craniotomy. Nevertheless, the relatively high postoperative recurrence rate significantly impacts the efficacy of RFT (<xref ref-type="bibr" rid="B5">5</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>).</p>
<p>There are some reports about magnetic resonance imaging (MRI) and postoperative recurrence rate of RFT. 5%-10% of patients with severe vascular compression (Grade III) fund by MRI experience recurrence within 6 months postoperatively (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>). Forevermore, our previous work revealed that when classifying TN patients using MR Diffusion Tensor Imaging (MR-DTI) findings, the probability of recurrence within 6 months after RFT was 10% for the L-FA type but as high as 60% for the N-FA type (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). While these studies have identified some factors contributing to short-term recurrence after RFT, the complete set of risk factors predicting short-term recurrence for individual TN patients remains incompletely defined. Predicting and preventing short-term recurrence is therefore a critical concern.</p>
<p>Functional magnetic resonance imaging (fMRI) is another MR technique and can analyze changes in brain activity induced by pain stimuli (<xref ref-type="bibr" rid="B15">15</xref>).Abnormal functional brain regions in TN are critical findings on fMRI. Key questions warranting attention are whether the abnormal activation in specific brain regions can serve as novel predictive indicators for short-term recurrence following RFT (<xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B18">18</xref>).</p>
<p>In this study, while applying traditional fMRI methodology, we also first established a novel rs-fMRI approach: individualized comparison of each TN patient against a normal control group. This new individualized method &#x2013; individualized rs-fMRI (irs-fMRI) &#x2013; holds promise for providing clinically meaningful predictive indicators of surgical treatment outcomes for individual TN patients.</p>
<p>Using conventional rs-fMRI methods, this study identified four novel abnormal brain regions. Furthermore, applying the irs-fMRI method to 15 consecutive patients undergoing percutaneous stereotactic radiofrequency ablation(PSR)with DTI guiding surgery, we discovered that abnormal activation in six brain regions, including Insula_L, Fusiform_L, Vermis_3, Cerebellum_3_R, Temporal_Sup_L, and Fusiform_R, can serve as predictive indicators for short-term recurrence after RFT in TN patients.</p>
<p>Beyond group-level effects, TN likely reflects meaningful inter-individual heterogeneity in pain-related brain circuits. Precision neuropsychiatry emphasizes linking biological heterogeneity to individualized biomarkers that can support patient stratification and targeted clinical decision-making. In chronic pain conditions such as TN, brain networks involved in sensory processing, salience, affect, and memory may jointly shape symptom severity and treatment response. Therefore, an individualized rs-fMRI strategy that evaluates each patient against a normative reference could provide a practical imaging biomarker for identifying patients at higher risk of early relapse and for informing precision-oriented follow-up and targeted intervention planning.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Study subjects</title>
<p>Subjects: A total of 30 patients with TN (12 males, 18 females; age 62.93 &#xb1; 11.52 years) were enrolled from China-Japan Union Hospital of Jilin University. The inclusion criteria were as follows: (1) Diagnosis of TN meeting the criteria of the International Classification of Headache Disorders, 3rd edition (ICHD-3) (<xref ref-type="bibr" rid="B19">19</xref>); (2) Seeking treatment at the Department of Neurosurgery, China-Japan Union Hospital of Jilin University (Changchun City, Jilin Province) between March 2021 and December 2024.The inclusion criteria for the healthy control group were: (1) No history of neurological or psychiatric disorders; (2) No history of trigeminal nerve-related pain. Exclusion criteria for both groups: (1) Contraindications for MRI/fMRI scanning; (2) History of other facial pain syndromes or prior invasive surgical interventions for trigeminal neuralgia.</p>
<p>All participants provided written informed consent. Written consent for publication of a potentially identifiable facial photograph (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>) was obtained from the patient.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>PSR surgical equipment and procedure. <bold>(A)</bold> Komai&#x2019;s frame-based CT-Stereotactic system. <bold>(B)</bold> 3D CT reconstruction image for FOT localization. <bold>(C)</bold> Application of the air-to-air meeting technique to complete the puncture. <bold>(D)</bold> X-ray C-arm verification of the puncture needle reaching the FOT.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-17-1778601-g001.tif">
<alt-text content-type="machine-generated">Panel A shows a stereotactic surgical apparatus on a clear base. Panel B presents a 3D-rendered anatomical close-up of the mandibular region with color-labeled structures. Panel C features a digital 3D reconstruction of a human head fitted with a surgical frame, highlighting detailed facial measurements. Panel D displays a fluoroscopy image of the mandible with a highlighted inset diagram marking anatomical landmarks including mandibular, LPP, FO, and tooth labels.</alt-text>
</graphic></fig>
<p>Grouping: All 30 TN patients (VAS score 4-10) constituted the TN observation group (TN group). Fifteen patients who underwent PSR-DTI surgery constituted the PSR observation group (PSR group). Within the PSR group, patients experiencing postoperative recurrence formed the recurrence subgroup, while patients achieving complete pain relief formed the non-recurrence subgroup. Thirty healthy individuals served as the control group.</p>
<p>PSR Surgical Method: PSR surgery was performed using the Komai&#x2019;s frame-based CT-Stereotactic system (Mizuho Medical Innovation, Tokyo, Japan) (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>) and guided by MR-DTI images for aim at the trigeminal Gasserian target (TGT) (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>) (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>). RFT parameters: patients with V1 division involvement received continuous pulsed radiofrequency at 65 &#xb0;C for one cycle of 60 seconds; V2 division involvement received 70 &#xb0;C for two cycles of 120 seconds each; V3 division involvement received 75 &#xb0;C for 2-4 cycles of 120 seconds each.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>MR-DTI Imaging for Trigeminal Ganglion Treatment Target (TGT) (<bold>A, B</bold>) Axial and coronal images showing the TGT located medially within the center of the Trigeminal Ganglion (TG). <bold>(C)</bold> Coronal image showing the TGT located inferiorly within the TG.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-17-1778601-g002.tif">
<alt-text content-type="machine-generated">Composite medical imaging graphic divided into three labeled sections (A, B, and C) shows grayscale brain scans with overlaid colored annotations. Section A contains a zoomed inset with measurement labels and green and red outlines indicating regions of interest, plus text “TG” in green and “TGT” in red; sections B and C feature similar scans with circles highlighting marked areas, red arrows pointing to enlarged insets, and overlaid horizontal or vertical green and red bars for scale or orientation. A 5 centimeter scale bar is visible in section C.</alt-text>
</graphic></fig>
</sec>
<sec id="s2_2">
<title>Data analysis</title>
<p>Data were acquired on a 3.0 T Siemens Skyra (32-channel head coil). T1 MP-RAGE: TR/TE/TI 2000/2.29/900 ms, flip 8&#xb0;, 0.9-mm isotropic. rs-fMRI: T2*-EPI, TR/TE 2000/30 ms, flip 90&#xb0;, FOV 200&#xd7;200 mm, 60 slices, 2.0/0.4 mm thickness/gap, 80&#xd7;80, multiband 3, 10 min (300 volumes). Preprocessing (DPABI/MATLAB): discard first 10 volumes, slice-timing, realignment; exclude translation &gt;2 mm, rotation &gt;2&#xb0;, or mean FD &gt;0.3 mm (<xref ref-type="bibr" rid="B20">20</xref>). Coregister to T1; nuisance regression (6 motion, WM/CSF), detrend, band-pass 0.01&#x2013;0.08 Hz. ReHo was computed in native space (3&#xd7;3&#xd7;3 voxels, Kendall&#x2019;s W), global-mean normalized, then normalized to MNI with DARTEL, resampled to 2 mm, and smoothed (4-mm FWHM). Frames with FD &gt;0.5 mm were scrubbed (proportion recorded). Cases with poor brain extraction/segmentation were excluded (<xref ref-type="bibr" rid="B21">21</xref>).</p>
</sec>
<sec id="s2_3">
<title>Statistical analysis</title>
<p>Group-level analyses used a mass-univariate GLM with age, sex, and mean FD as covariates. Multiple-comparison control used permutation testing (5,000) with TFCE (two-tailed, FWE-corrected p&lt;0.05; minimum cluster extent reported). Individual normative deviation maps were obtained by z-scoring each patient&#x2019;s ReHo against age/sex-matched HCs, applying |Z|&#x2265;2.3 and cluster-wise FWE via permutation. For predicting &#x2264;6-month recurrence, we fit penalized logistic regression with H-fMRI indicators (presence/side, V1 involvement) and clinical covariates (age, sex, disease duration, side, mean FD). Performance was optimism-corrected (0.632+ bootstrap, 1,000 resamples) with 95% CIs for AUC, sensitivity, specificity, and PPV/NPV.</p>
</sec>
<sec id="s2_4">
<title>Clinical outcome assessment</title>
<p>Efficacy was evaluated at postoperative days 2&#x2013;3 and at 6 months, 1 year, 2 years, and 3 years. Recurrence was graded by medication required to control pain (pre-specified standardized dose units): mild, &lt; 50% of the preoperative dose with no additional intervention; moderate, 50&#x2013;100%; severe, &gt; 100% or uncontrolled pain requiring re-intervention. The primary endpoint for short-term recurrence was &#x2264; 6 months. &#x201c;Effective&#x201d; was defined as pain-free without medication or only mild recurrence; &#x201c;Ineffective&#x201d; as moderate or severe recurrence.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Demographic and clinical data</title>
<p>Thirty TN patients were included: 15 managed with medication and 15 treated with PSR-DTI surgery. Full clinical characteristics are presented in <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Characteristics of the total TN cohort (n=30) vs. PSR-DTI surgical subgroup (n=15).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Characteristic</th>
<th valign="middle" align="center">Number of patients</th>
<th valign="middle" align="center">Number of PSR-DTI patients</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Total</td>
<td valign="middle" align="center">30</td>
<td valign="middle" align="center">15</td>
</tr>
<tr>
<th valign="middle" colspan="3" align="left">Age and sex</th>
</tr>
<tr>
<td valign="middle" align="left">Age range</td>
<td valign="middle" align="center">38-85</td>
<td valign="middle" align="center">38-85</td>
</tr>
<tr>
<td valign="middle" align="left">Age (Mean &#xb1; SD)</td>
<td valign="middle" align="center">62.9 &#xb1; 11.5</td>
<td valign="middle" align="center">65.5 &#xb1; 11.7</td>
</tr>
<tr>
<td valign="middle" align="left">Male</td>
<td valign="middle" align="center">13</td>
<td valign="middle" align="center">6</td>
</tr>
<tr>
<td valign="middle" align="left">Female</td>
<td valign="middle" align="center">17</td>
<td valign="middle" align="center">9</td>
</tr>
<tr>
<th valign="middle" colspan="3" align="left">Affected side</th>
</tr>
<tr>
<td valign="middle" align="left">Right</td>
<td valign="middle" align="center">18</td>
<td valign="middle" align="center">11</td>
</tr>
<tr>
<td valign="middle" align="left">Left</td>
<td valign="middle" align="center">12</td>
<td valign="middle" align="center">4</td>
</tr>
<tr>
<td valign="middle" align="left">V1</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">1</td>
</tr>
<tr>
<td valign="middle" align="left">V2</td>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">4</td>
</tr>
<tr>
<td valign="middle" align="left">V3</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">1</td>
</tr>
<tr>
<td valign="middle" align="left">V1 + V2</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">4</td>
</tr>
<tr>
<td valign="middle" align="left">V2 + V3</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">2</td>
</tr>
<tr>
<td valign="middle" align="left">V1 + V2 + V3</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">3</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Treatment outcomes</title>
<p>All 15 patients achieved successful TGT puncture. Sensory electrophysiological validation at the TGT (50 Hz, 1ms pulse) yielded voltage values ranging from 0.15-0.30 V.</p>
<p>Postoperative Days 2-3: 13 patients had VAS scores of 1-3, and two patients achieved VAS = 1 on postoperative days 4 and 14, respectively. Immediate overall efficacy was 86.6% (13/15).</p>
<p>6 Months Postoperative: 11 patients experienced complete pain relief, and four patients developed moderate or severe recurrence. Ultra-short-term efficacy was 73.3% (11/15); recurrence rate was 26.7% (4/15).</p>
<p>1 Year Postoperative: Effective treatment in 12 patients (including 11 with complete relief and 1 transitioning from moderate to mild recurrence). Ineffective treatment occurred in 3 patients. Short-term efficacy was 80% (12/15).</p>
<p>2 Years Postoperative: No new recurrences occurred. Long-term efficacy remained 80% (12/15).</p>
<p>3 Years Postoperative: One new moderate recurrence occurred (No.1). Long-term efficacy at 3 years was 73.3% (11/15).</p>
<p>Most recurrences (80%, 4/5) occurred within 6 months postoperatively. One recurrence (20%, 1/5) occurred at 3 years. No new recurrences arose between 6 months and 2 years. These findings indicate that precise PSR-DTI targeting of the TGT substantially inhibited (91%, 10/11) neural regeneration-mediated recurrences occurring between 1 year to 3 years.</p>
</sec>
<sec id="s3_3">
<title>Differential brain region findings in TN subgroups</title>
<p>TN Group: rs-fMRI identified 19 differential brain regions across all 30 TN patients (VAS 4-10) (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>, <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). The presence of these regions may contribute to TN pathophysiology.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Regional homogeneity differences in TN patients. Differential analysis between TN patients and HC was performed using two-sample t-tests. The color bar represents the t-statistic values; warm colors (e.g., red/yellow) indicate brain regions with significantly increased ReHo values (positive t-values) in TN patients compared to controls, whereas cool colors (e.g., blue) indicate regions with significantly decreased ReHo values (negative t-values). The statistical significance threshold was set at GRF-corrected p &lt; 0.05. Abbreviations: ReHo: Regional Homogeneity; TN: Trigeminal Neuralgia; HC: Healthy Controls; GRF: Gaussian Random Field.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-17-1778601-g003.tif">
<alt-text content-type="machine-generated">Series of axial brain fMRI slices display functional activation overlays in red and deactivation in blue, annotated by Z-coordinates and numbered regions. Lower row shows magnified color-coded maps of regions of interest, with a vertical color bar for statistical values ranging from negative eight to six.</alt-text>
</graphic></fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>T-test data for abnormal brain regions in TN patients vs. HC.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">ALL no.</th>
<th valign="middle" align="center">No.</th>
<th valign="middle" align="center">Brain region</th>
<th valign="middle" align="center">Cluster size (Voxels)</th>
<th valign="middle" align="center">MNI (X Y Z)</th>
<th valign="middle" align="center">T value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">45</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">Cuneus_L</td>
<td valign="middle" align="center">1367</td>
<td valign="middle" align="center">-9 -81 39</td>
<td valign="middle" align="center">-8.98862</td>
</tr>
<tr>
<td valign="middle" align="center">76</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">Pallidum_R</td>
<td valign="middle" align="center">575</td>
<td valign="middle" align="center">18 -3 -3</td>
<td valign="middle" align="center">6.12437</td>
</tr>
<tr>
<td valign="middle" align="center">77</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">Thalamus_L</td>
<td valign="middle" align="center">302</td>
<td valign="middle" align="center">-21 -30 6</td>
<td valign="middle" align="center">6.19444</td>
</tr>
<tr>
<td valign="middle" align="center">104</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">Cerebellum_8_R</td>
<td valign="middle" align="center">218</td>
<td valign="middle" align="center">24 -48 -45</td>
<td valign="middle" align="center">5.78382</td>
</tr>
<tr>
<td valign="middle" align="center">33</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">Cingulum_Mid_L</td>
<td valign="middle" align="center">192</td>
<td valign="middle" align="center">-24 -18 39</td>
<td valign="middle" align="center">5.58191</td>
</tr>
<tr>
<td valign="middle" align="center">44</td>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">Calcarine_R</td>
<td valign="middle" align="center">181</td>
<td valign="middle" align="center">33 -51 24</td>
<td valign="middle" align="center">5.14981</td>
</tr>
<tr>
<td valign="middle" align="center">82</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">Temporal_Sup_R</td>
<td valign="middle" align="center">157</td>
<td valign="middle" align="center">39 -33 12</td>
<td valign="middle" align="center">6.00197</td>
</tr>
<tr>
<td valign="middle" align="center">57</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">Postcentral_L</td>
<td valign="middle" align="center">120</td>
<td valign="middle" align="center">-51 -18 42</td>
<td valign="middle" align="center">-5.84031</td>
</tr>
<tr>
<td valign="middle" align="center">103</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">Cerebellum_8_L</td>
<td valign="middle" align="center">98</td>
<td valign="middle" align="center">-12 -63 -48</td>
<td valign="middle" align="center">4.88525</td>
</tr>
<tr>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center">Precentral_R</td>
<td valign="middle" align="center">94</td>
<td valign="middle" align="center">42 -21 60</td>
<td valign="middle" align="center">-4.92064</td>
</tr>
<tr>
<td valign="middle" align="center">33</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">Cingulum_Mid_L</td>
<td valign="middle" align="center">88</td>
<td valign="middle" align="center">0 -36 51</td>
<td valign="middle" align="center">-7.14651</td>
</tr>
<tr>
<td valign="middle" align="center">61</td>
<td valign="middle" align="center">12</td>
<td valign="middle" align="center">Parietal_Inf_L</td>
<td valign="middle" align="center">60</td>
<td valign="middle" align="center">-48 -51 57</td>
<td valign="middle" align="center">-6.04622</td>
</tr>
<tr>
<td valign="middle" align="center">19</td>
<td valign="middle" align="center">13</td>
<td valign="middle" align="center">Supp_Motor_Area_L</td>
<td valign="middle" align="center">56</td>
<td valign="middle" align="center">0 -18 60</td>
<td valign="middle" align="center">-7.35853</td>
</tr>
<tr>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">14</td>
<td valign="middle" align="center">Frontal_Mid_L</td>
<td valign="middle" align="center">53</td>
<td valign="middle" align="center">-30 48 21</td>
<td valign="middle" align="center">-5.85342</td>
</tr>
<tr>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">Frontal_Sup_R</td>
<td valign="middle" align="center">51</td>
<td valign="middle" align="center">24 27 51</td>
<td valign="middle" align="center">-5.41887</td>
</tr>
<tr>
<td valign="middle" align="center">17</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">Rolandic_Oper_L</td>
<td valign="middle" align="center">46</td>
<td valign="middle" align="center">-51 6 12</td>
<td valign="middle" align="center">-5.73314</td>
</tr>
<tr>
<td valign="middle" align="center">105</td>
<td valign="middle" align="center">17</td>
<td valign="middle" align="center">Cerebellum_9_L</td>
<td valign="middle" align="center">40</td>
<td valign="middle" align="center">-21 -45 -51</td>
<td valign="middle" align="center">5.28106</td>
</tr>
<tr>
<td valign="middle" align="center">85</td>
<td valign="middle" align="center">18</td>
<td valign="middle" align="center">Temporal_Mid_L</td>
<td valign="middle" align="center">33</td>
<td valign="middle" align="center">-57 -51 0</td>
<td valign="middle" align="center">-6.1812</td>
</tr>
<tr>
<td valign="middle" align="center">89</td>
<td valign="middle" align="center">19</td>
<td valign="middle" align="center">Temporal_Inf_L</td>
<td valign="middle" align="center">32</td>
<td valign="middle" align="center">-36 -6 -24</td>
<td valign="middle" align="center">4.79442</td>
</tr>
<tr>
<td valign="middle" align="center">81</td>
<td valign="middle" align="center">20</td>
<td valign="middle" align="center">Temporal_Sup_L</td>
<td valign="middle" align="center">32</td>
<td valign="middle" align="center">-63 -42 21</td>
<td valign="middle" align="center">-4.87135</td>
</tr>
<tr>
<td valign="middle" align="center">85</td>
<td valign="middle" align="center">21</td>
<td valign="middle" align="center">Temporal_Mid_L</td>
<td valign="middle" align="center">31</td>
<td valign="middle" align="center">-63 -36 3</td>
<td valign="middle" align="center">-5.65972</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>AAL (Anatomical Automatic Labeling) parcellates the brain into 116 regions: 90 cerebral, 26 cerebellar. Regions listed: Calcarine_R, Temporal_Sup_R, Postcentral_L, Cerebellum_8_L, Precentral_R, Cingulum_Mid_L (X=-0, Y=-36, Z = 51), Parietal_Inf_L, Supp_Motor_Area_L, Frontal_Mid_L, Frontal_Sup_R, Rolandic_Oper_L, Cerebellum_9_L, Temporal_Mid_L (X=-57, Y=-51, Z = 0), Temporal_Inf_L, Temporal_Sup_L, Temporal_Mid_L (X=-63, Y=-36, Z = 3).</p></fn>
</table-wrap-foot>
</table-wrap>
<p>PSR-DTI Group: Preoperative rs-fMRI identified 16 differential brain regions in the 15 PSR-DTI patients (VAS = 10) (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>, <xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>). Compared to the TN group, 9 regions were novel: Caudate_R, Occipital_Sup_R, Calcarine_L, Precuneus_L, Precuneus_R, ParaHippocampal_R, Postcentral_R, Lingual_R, SupraMarginal_L. This suggests novel regional abnormalities may indicate progression requiring surgery.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>ReHo differences in PSR-DTI surgical patients. Differential analysis between the PSR-DTI group and HC was performed using two-sample t-tests, with results projected onto the brain surface. The color bar indicates the range of t-values: red/yellow regions denote significantly increased ReHo (positive t-values) relative to HC, while blue regions denote significantly decreased ReHo (negative t-values). The statistical threshold was set at GRF-corrected p &lt; 0.05. Numbered regions correspond to: 1-Caudate_R, 2-Occipital_Sup_R, 3-Cerebellum_9_L, 4-Cerebellum_8_R, 5-Calcarine_L (X=-30, Y=-66, Z = 6), 6-Parietal_Inf_L, 7-Precuneus_L, 8-Postcentral_L, 9-Calcarine_L (X=-33, Y=-48, Z = 18), 10-Precuneus_R, 11-Supp_Motor_Area_L, 12-Temporal_Inf_L, 13-ParaHippocampal_R, 14-Postcentral_R, 15-Frontal_Mid_L, 16-Lingual_R, 17-SupraMarginal_L, 18-Frontal_Mid_L (X=-27, Y=-3, Z = 51).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-17-1778601-g004.tif">
<alt-text content-type="machine-generated">Three-dimensional brain renderings display multiple perspectives with colored regions: blue and orange areas highlight specific brain activity patterns. A horizontal color bar below indicates a spectrum from -10 (blue) to 10 (yellow), representing data values.</alt-text>
</graphic></fig>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>t-test data for abnormal brain regions in PSR-DTI patients vs. HC.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">ALL no.</th>
<th valign="middle" align="center">No.</th>
<th valign="middle" align="center">Brain region</th>
<th valign="middle" align="center">Cluster size (Voxels)</th>
<th valign="middle" align="center">MNI (X Y Z)</th>
<th valign="middle" align="center">T value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">72</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">Caudate_R</td>
<td valign="middle" align="center">1999</td>
<td valign="middle" align="center">24 -24 42</td>
<td valign="middle" align="center">8.25937</td>
</tr>
<tr>
<td valign="middle" align="center">50</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">Occipital_Sup_R</td>
<td valign="middle" align="center">663</td>
<td valign="middle" align="center">27 -84 24</td>
<td valign="middle" align="center">-7.77502</td>
</tr>
<tr>
<td valign="middle" align="center">105</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">Cerebellum_9_L</td>
<td valign="middle" align="center">316</td>
<td valign="middle" align="center">-12 -51 -39</td>
<td valign="middle" align="center">7.39727</td>
</tr>
<tr>
<td valign="middle" align="center">104</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">Cerebellum_8_R</td>
<td valign="middle" align="center">175</td>
<td valign="middle" align="center">30 -63 -51</td>
<td valign="middle" align="center">6.19134</td>
</tr>
<tr>
<td valign="middle" align="center">43</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">Calcarine_L</td>
<td valign="middle" align="center">174</td>
<td valign="middle" align="center">-30 -66 6</td>
<td valign="middle" align="center">5.99316</td>
</tr>
<tr>
<td valign="middle" align="center">61</td>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">Parietal_Inf_L</td>
<td valign="middle" align="center">135</td>
<td valign="middle" align="center">-48 -51 57</td>
<td valign="middle" align="center">-8.37313</td>
</tr>
<tr>
<td valign="middle" align="center">67</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">Precuneus_L</td>
<td valign="middle" align="center">118</td>
<td valign="middle" align="center">-3 -54 42</td>
<td valign="middle" align="center">-6.21712</td>
</tr>
<tr>
<td valign="middle" align="center">57</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">Postcentral_L</td>
<td valign="middle" align="center">105</td>
<td valign="middle" align="center">-51 -15 45</td>
<td valign="middle" align="center">-7.70574</td>
</tr>
<tr>
<td valign="middle" align="center">43</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">Calcarine_L</td>
<td valign="middle" align="center">65</td>
<td valign="middle" align="center">-9 -90 0</td>
<td valign="middle" align="center">-5.60083</td>
</tr>
<tr>
<td valign="middle" align="center">68</td>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center">Precuneus_R</td>
<td valign="middle" align="center">60</td>
<td valign="middle" align="center">18 -45 18</td>
<td valign="middle" align="center">5.36338</td>
</tr>
<tr>
<td valign="middle" align="center">19</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">Supp_Motor_Area_L</td>
<td valign="middle" align="center">60</td>
<td valign="middle" align="center">0 -15 63</td>
<td valign="middle" align="center">-6.65415</td>
</tr>
<tr>
<td valign="middle" align="center">89</td>
<td valign="middle" align="center">12</td>
<td valign="middle" align="center">Temporal_Inf_L</td>
<td valign="middle" align="center">56</td>
<td valign="middle" align="center">-39 -12 -18</td>
<td valign="middle" align="center">5.69072</td>
</tr>
<tr>
<td valign="middle" align="center">40</td>
<td valign="middle" align="center">13</td>
<td valign="middle" align="center">ParaHippocampal_R</td>
<td valign="middle" align="center">53</td>
<td valign="middle" align="center">24 -3 -27</td>
<td valign="middle" align="center">5.58155</td>
</tr>
<tr>
<td valign="middle" align="center">58</td>
<td valign="middle" align="center">14</td>
<td valign="middle" align="center">Postcentral_R</td>
<td valign="middle" align="center">53</td>
<td valign="middle" align="center">54 -6 39</td>
<td valign="middle" align="center">-6.7594</td>
</tr>
<tr>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">Frontal_Mid_L</td>
<td valign="middle" align="center">52</td>
<td valign="middle" align="center">-33 48 18</td>
<td valign="middle" align="center">-8.17244</td>
</tr>
<tr>
<td valign="middle" align="center">48</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">Lingual_R</td>
<td valign="middle" align="center">50</td>
<td valign="middle" align="center">12 -75 -6</td>
<td valign="middle" align="center">-7.52571</td>
</tr>
<tr>
<td valign="middle" align="center">63</td>
<td valign="middle" align="center">17</td>
<td valign="middle" align="center">SupraMarginal_L</td>
<td valign="middle" align="center">33</td>
<td valign="middle" align="center">-63 -45 30</td>
<td valign="middle" align="center">-4.91563</td>
</tr>
<tr>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">18</td>
<td valign="middle" align="center">Frontal_Mid_L</td>
<td valign="middle" align="center">30</td>
<td valign="middle" align="center">-27 -3 51</td>
<td valign="middle" align="center">-5.55443</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Rs-fMRI in the 4 recurrence patients identified 15 differential regions, including: Insula, Fusiform_L, Vermis_3, Cerebellum_3_R, Temporal_Sup_L, Fusiform_R, Caudate_L, Calcarine_L, Cerebellum_Crus2_R, Temporal_Mid_R, Lingual_R, Hippocampus_L, Precuneus_L, Cerebellum_8_L and Thalamus_R. These regions (we named them as 1-15, respectively) constitute a library of potential predictive brain regions (PPBR) for recurrence.</p>
</sec>
<sec id="s3_4">
<title>Screening predictive brain regions for short-term recurrence</title>
<p>Entire PSR-DTI Group (n=15): Total PPBR occurrences were 53 instances across all patients which including 13 patients exhibited 1-9 PPBRs and 2 patients had no PPBR, 45% in ipsilateral and other 55% in contralateral (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Positive sites of potential predictive brain regions for recurrence in TN patients. Treatment Outcome: =Excellent (Pain-free, no meds); =Good (Mild recurrence; pain reduction &#x2265;50%, reduced meds); =Fair (Slight relief; pain reduction &lt;50%); =Poor (No relief). Laterality: =Ipsilateral; =Contralateral.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-17-1778601-g005.tif">
<alt-text content-type="machine-generated">Horizontal bar chart comparing brain regions affected in PSR patients, numbered 01 to 15 on the y-axis. Colored flag markers indicate specific brain regions along the x-axis for each patient, showing distribution and overlap of affected regions.</alt-text>
</graphic></fig>
<p>PSR-DTI Recurrence Subgroup (n=4): Total PPBRs were 25 instances, mean times was 6.3 in per patient, 40% in ipsilateral and 60% in contralateral.</p>
<p>PSR-DTI Non-Recurrence Subgroup (n=11): Total PPBRs were 28 instances, mean times was 2.5 in per patient, 61% in ipsilateral and 39% in contralateral.</p>
<p>Patients with recurrence exhibited a significantly higher mean PPBR burden (6.3 vs. 2.5; mean difference 2.5-fold, 95% CI: 2.1-5.5; t (13) = 3.92, <italic>p</italic> = 0.002, Cohen<bold>&#x2019;</bold>s d = 1.74) and a greater proportion of contralateral PPBRs (61% vs. 39%) compared to non-recurrence patients. These findings indicate that both novel and contralateral abnormalities are associated with an increased risk of recurrence.</p>
</sec>
<sec id="s3_5">
<title>Preliminary screening of predictive regions</title>
<p>Frequency &amp; Recurrence Rate: Regions 1-5, Occurred only once, and exclusively in recurrence patients (100% recurrence rate); Regions 6-15, Occurred in both recurrence and non-recurrence patients; Regions 6, 7, 8, 14, 15 (common, 6-10 occurrences) and 9-13 (rare, all were 2 occurrences) showed varying recurrence rates (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6</bold></xref>, <xref ref-type="table" rid="T4"><bold>Table&#xa0;4</bold></xref>). Thus, regions 1-5 were selected as primary predictive candidates, and Region 6 (Fusiform_R) was identified as a secondary candidate due to its relatively higher recurrence rate.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Characteristics of potential predictive brain regions for pain recurrence in PSR-DTI patients. <bold>(A)</bold> Number and value of positive brain regions. <bold>(B)</bold> Recurrence rate per PPBR. <bold>(C)</bold> Distribution of common abnormal brain regions (3 PA = 3 patients; 2 PA = 2 patients; 1 PA = 1 patient).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-17-1778601-g006.tif">
<alt-text content-type="machine-generated">Panel A shows a 3D bar chart of brain regions labeled by zone, T value, and size, with blue bars for three and two PA and orange bars for one PA. Panel B displays a 3D cylindrical bar graph comparing the rate of recurrence by brain region. Panel C presents a grouped bar chart comparing the number of brain zones for affected and corresponding sides, with blue and orange bars, respectively.</alt-text>
</graphic></fig>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Complete remission and recurrence rates for patients stratified by potential recurrence-related brain regions.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Brain zone</th>
<th valign="middle" align="center">Quantity of appearance</th>
<th valign="middle" align="center">Complete remission and percentage (%)</th>
<th valign="middle" align="center">Recurrence and percentage (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Insula-L</td>
<td valign="middle" align="center">
<styled-content style="color:#d2162e">1</styled-content>
</td>
<td valign="middle" align="center">
<styled-content style="color:#d2162e">0</styled-content>
</td>
<td valign="middle" align="center">
<styled-content style="color:#d2162e">1(100%, 1/1)</styled-content>
</td>
</tr>
<tr>
<td valign="middle" align="center">Fusiform_L</td>
<td valign="middle" align="center">
<styled-content style="color:#d2162e">1</styled-content>
</td>
<td valign="middle" align="center">
<styled-content style="color:#d2162e">0</styled-content>
</td>
<td valign="middle" align="center">
<styled-content style="color:#d2162e">1(100%, 1/1)</styled-content>
</td>
</tr>
<tr>
<td valign="middle" align="center">Vermis_3</td>
<td valign="middle" align="center">
<styled-content style="color:#d2162e">1</styled-content>
</td>
<td valign="middle" align="center">
<styled-content style="color:#d2162e">0</styled-content>
</td>
<td valign="middle" align="center">
<styled-content style="color:#d2162e">1(100%, 1/1)</styled-content>
</td>
</tr>
<tr>
<td valign="middle" align="center">Cerebellum_3_R</td>
<td valign="middle" align="center">
<styled-content style="color:#d2162e">1</styled-content>
</td>
<td valign="middle" align="center">
<styled-content style="color:#d2162e">0</styled-content>
</td>
<td valign="middle" align="center">
<styled-content style="color:#d2162e">1(100%, 1/1)</styled-content>
</td>
</tr>
<tr>
<td valign="middle" align="center">Temporal_Sup_L</td>
<td valign="middle" align="center">
<styled-content style="color:#d2162e">1</styled-content>
</td>
<td valign="middle" align="center">
<styled-content style="color:#d2162e">0</styled-content>
</td>
<td valign="middle" align="center">
<styled-content style="color:#d2162e">1(100%, 1/1)</styled-content>
</td>
</tr>
<tr>
<td valign="middle" align="center">Fusiform_R</td>
<td valign="middle" align="center">
<styled-content style="color:#0500ff">6</styled-content>
</td>
<td valign="middle" align="center">
<styled-content style="color:#0500ff">2(33%, 2/6)</styled-content>
</td>
<td valign="middle" align="center">
<styled-content style="color:#0500ff">4(67%, 4/6)</styled-content>
</td>
</tr>
<tr>
<td valign="middle" align="center">Caudate_L</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">5 (63%, 5/8)</td>
<td valign="middle" align="center">3(37%, 3/8)</td>
</tr>
<tr>
<td valign="middle" align="center">Calcarine_L</td>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">3(50%, 3/6)</td>
<td valign="middle" align="center">3(50%, 3/6)</td>
</tr>
<tr>
<td valign="middle" align="center">Cerebellum_Crus2_R</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">1(50%, 1/2)</td>
<td valign="middle" align="center">1(50%, 1/2)</td>
</tr>
<tr>
<td valign="middle" align="center">Temporal_Mid_R</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">1(50%, 1/2)</td>
<td valign="middle" align="center">1(50%, 1/2)</td>
</tr>
<tr>
<td valign="middle" align="center">Lingual_R</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">1(50%, 1/2)</td>
<td valign="middle" align="center">1(50%, 1/2)</td>
</tr>
<tr>
<td valign="middle" align="center">Hippocampus_L</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">1(50%, 1/2)</td>
<td valign="middle" align="center">1(50%, 1/2)</td>
</tr>
<tr>
<td valign="middle" align="center">Precuneus_L</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">1(50%, 1/2)</td>
<td valign="middle" align="center">1(50%, 1/2)</td>
</tr>
<tr>
<td valign="middle" align="center">Cerebellum_8_L</td>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center">7(70%, 7/10)</td>
<td valign="middle" align="center">3(30%, 3/10)</td>
</tr>
<tr>
<td valign="middle" align="center">Thalamus_R</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">6(75%, 6/8)</td>
<td valign="middle" align="center">2(25%, 2/8)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Red text indicates brain regions with the highest recurrence rates, and blue text indicates regions with the second-highest recurrence rates.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_6">
<title>Refining the predictive role of Fusiform_R</title>
<p>Overall Recurrence Rate: 67% (4/6) (<xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7A</bold></xref>). Laterality: recurrence rate was 80% (4/5) for ipsilateral Region 6 abnormality vs. 0% (0/1) for contralateral. Trigeminal branch involvement: recurrence rate was 100% (2/2) for patients with region 6 abnormality and V1 division pain (Case 10: V1+V2+V3; Case 12: V1+V2), recurrence rate was 50% (2/4) for region 6 abnormality without V1 pain (<xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7B</bold></xref>). Thus, ipsilateral region 6 abnormality combined with V1 pain predicted recurrence with 100% accuracy, equivalent to regions 1-5.</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Recurrence risk stratification based on fMRI-Defined brain regions. <bold>(A)</bold>Recurrence rates across 15 potential predictive brain regions. <bold>(B)</bold> Differential recurrence rates associated with Fusiform_R under specific clinical conditions.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-17-1778601-g007.tif">
<alt-text content-type="machine-generated">Panel A displays a line graph showing recurrence rate by brain region, with a sharp drop from 100 percent to about 50 percent after region 5. Panel B contains a clustered bar chart comparing recurrence rates for various factors, with bars for curative effect, lateralization, and affected branch; the affected side and affected side including V1 show the highest rates. A color-coded legend indicates categories used in both charts for clarity.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_7">
<title>Recurrence risk stratification via final predictive brain regions</title>
<p>Recurrence rates for unilateral Regions 7-15 ranged from 33%-60% (<xref ref-type="table" rid="T5"><bold>Table&#xa0;5</bold></xref>). Six regions with 100% recurrence rate within contralateral Insula, Fusiform_L, Vermis_3 and Temporal_Sup_L, ipsilateral Cerebellum_3_R, Fusiform_R with V1 division pain, constitute the final set of High-Risk fMRI (H-fMRI) regions of recurrence (<xref ref-type="fig" rid="f8"><bold>Figure&#xa0;8</bold></xref>).</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Treatment outcomes by laterality (ipsilateral vs. contralateral) for each potential recurrence-related brain region in patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Brain zone</th>
<th valign="middle" colspan="3" align="center">Affected side</th>
<th valign="middle" colspan="3" align="center">Contralateral side</th>
</tr>
<tr>
<th valign="middle" align="center">Number of brain regions</th>
<th valign="middle" align="center">Number of good effects</th>
<th valign="middle" align="center">Number and percentage of poor effects (%)</th>
<th valign="middle" align="center">Number of brain regions</th>
<th valign="middle" align="center">Number of good effects</th>
<th valign="middle" align="center">Number and percentage of poor effects (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Insula-L</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">1(100%, 1/1)</td>
</tr>
<tr>
<td valign="middle" align="center">Fusiform_L</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">1(100%, 1/1)</td>
</tr>
<tr>
<td valign="middle" align="center">Vermis_3</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">1(100%, 1/1)</td>
</tr>
<tr>
<td valign="middle" align="center">Cerebellum_3_R</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">1(100%, 1/1)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
</tr>
<tr>
<td valign="middle" align="center">Temporal_Sup_L</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">1(100%, 1/1)</td>
</tr>
<tr>
<td valign="middle" align="center">Fusiform_R</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">4(80%, 4/5)</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">0</td>
</tr>
<tr>
<td valign="middle" align="center">Caudate_L</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">3(60%, 3/5)</td>
</tr>
<tr>
<td valign="middle" align="center">Calcarine_L</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">3(60%, 3/5)</td>
</tr>
<tr>
<td valign="middle" align="center">Cerebellum_Crus2_R</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">1(50%, 1/2)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
</tr>
<tr>
<td valign="middle" align="center">Temporal_Mid_R</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">1(50%, 1/2)</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">0</td>
</tr>
<tr>
<td valign="middle" align="center">Lingual_R</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">1(50%, 1/2)</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">0</td>
</tr>
<tr>
<td valign="middle" align="center">Hippocampus_L</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">1(50%, 1/2)</td>
</tr>
<tr>
<td valign="middle" align="center">Precuneus_L</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">1(50%, 1/2)</td>
</tr>
<tr>
<td valign="middle" align="center">Cerebellum_8_L</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">3(43%, 3/7)</td>
</tr>
<tr>
<td valign="middle" align="center">Thalamus_R</td>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">2(33%, 2/6)</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">0</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Spatial distribution of fMRI-based risk regions in surgical trigeminal neuralgia patients. <bold>(A)</bold> Six kinds of high-risk fMRI regions. <bold>(B)</bold> Nine middle- and low-risk fMRI regions. Each highlighted marker represents a positive finding in a single patient scan.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-17-1778601-g008.tif">
<alt-text content-type="machine-generated">Figure showing two panels, A and B, each with left and right side views of a transparent human brain illustration. Glowing orange dots highlight specific brain regions labeled with anatomical names such as Fusiform_R, Insula, Thalamus_R, and Caudate_L, indicating areas of neural activity or interest.</alt-text>
</graphic></fig>
<p>The pre-specified six-region H-fMRI binary rule achieved apparent perfect discrimination in the PSR-DTI derivation cohort and showed marked post-test probability shifts with favorable net benefit on decision-curve analysis (<xref ref-type="fig" rid="f9"><bold>Figure&#xa0;9</bold></xref>).</p>
<fig id="f9" position="float">
<label>Figure&#xa0;9</label>
<caption>
<p>Apparent performance of the pre-specified H-fMRI rule in the PSR-DTI derivation cohort (n=15; 4 recurrences &#x2264;6 months). <bold>(A)</bold> Confusion matrix (positive = predicted recurrence): TP = 4, TN = 11, FP = 0, FN = 0, showing apparent perfect classification. <bold>(B)</bold> Pre-/post-test probability of recurrence (4/15, 4/4, 0/11; 95% CIs). <bold>(C)</bold> Calibration: two-point calibration for the binary rule (observed recurrence rates at predicted = 1 and predicted = 0); the 45&#xb0; line denotes ideal calibration. <bold>(D)</bold> Decision curve: net benefit across threshold probabilities 0.01&#x2013;0.99; the model overall outperforms Treat-All and Treat-None.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-17-1778601-g009.tif">
<alt-text content-type="machine-generated">Panel A is a confusion matrix heatmap showing four true positives, zero false positives, zero false negatives, and eleven true negatives for predicting recurrence. Panel B is a bar chart comparing pre-test probability, post-test probability after a positive result, and residual risk if negative, with post-test probability shown as highest. Panel C is a calibration plot displaying predicted probabilities versus observed recurrence rates, with points lying close to the diagonal, indicating good model calibration. Panel D is a decision curve analysis plot demonstrating net benefit across threshold probabilities, with “Model,” “Treat-All,” and “Treat-None” strategies compared.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_8">
<title>Analysis of H-fMRI regional location characteristics</title>
<p>Automated Anatomical Labeling (AAL) Atlas includes 116 normal regions. TN Group (19 regions) vs. PSR-DTI Group (16 regions), 7 overlapping regions (36.8% overlap); recurrence PPBRs (15 regions) vs. PSR-DTI Group, 3 overlapping regions (18.7% overlap); H-fMRI Regions (6 regions) vs. PSR-DTI Group, 0% overlap; H-fMRI Regions vs. TN Group, 1 overlapping region (5.2% overlap) (<xref ref-type="fig" rid="f10"><bold>Figure&#xa0;10</bold></xref>). These results suggesting that patient-specific H-fMRI regions may drive short-term recurrence.</p>
<fig id="f10" position="float">
<label>Figure&#xa0;10</label>
<caption>
<p>Schematic representation of brain region locations in healthy individuals and TN patients. <bold>(A)</bold> Healthy individuals (116 regions, blue circle) vs. TN patients VAS 4-10 (19 positive regions, outer red circle). <bold>(B)</bold> PSR-DTI patients VAS 8-10 (16 positive regions, inner red circle). <bold>(C)</bold> Recurrence patients (15 Potential Predictive Brain Regions, yellow circle). <bold>(D)</bold> Recurrence patients (6 high-risk fMRI Regions, yellow circle). Insets show regional distributions.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-17-1778601-g010.tif">
<alt-text content-type="machine-generated">Four circular charts labeled A, B, C, and D compare brain regions using concentric rings colored blue, red, pink, and yellow, representing Normal, TN, PSR, and Recurrence respectively, with a color-coded key provided. Black lines indicate specific data points in each region.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_9">
<title>Changes in brain regions 2-3 days post-PSR-DTI</title>
<p>13 patients whom VAS were 1-3: All 15 recurrence-related differential regions disappeared (100% elimination). Two patients with VAS scores of 4: 12 recurrence-related regions (6 H-fMRI, 6 L-fMRI) disappeared (80%, 12/15), and 3 regions weakened (Caudate_L &amp; Cerebellum_8_L in Case No.8; Thalamus_R in Case No.10) (<xref ref-type="fig" rid="f11"><bold>Figure&#xa0;11</bold></xref>).</p>
<fig id="f11" position="float">
<label>Figure&#xa0;11</label>
<caption>
<p>Schematic of potential predictive brain regions pre- and post PSR-DTI in TN patients. <bold>(A)</bold> Nine regions positive preoperatively in both outcome groups (Top). Six boxed regions disappeared postoperatively (Bottom); three unboxed regions showed weakened activity. <bold>(B)</bold> Five regions positive preoperatively only in the poor outcome group, plus Fusiform_R (Left). All six regions disappeared postoperatively (Right).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-17-1778601-g011.tif">
<alt-text content-type="machine-generated">Panel A displays two circular segmented charts comparing brain region data before and after an operation, with segments color-coded and labeled. Panel B presents two 3D grid plots showing data points, with “Before OP” and “After OP” indicated by yellow arrow.</alt-text>
</graphic></fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Recurrence in TN patients after RFT can be categorized into two types based on the timing of onset: short-term recurrence (STR) which occurring within 1 year postoperatively, and long-term recurrence (LTR) which occurring more than 1 year postoperatively. Reported rates of STR and LTR vary considerably in the literature. STR rates fall into three ranges: low range (&lt;9.8%) (<xref ref-type="bibr" rid="B22">22</xref>&#x2013;<xref ref-type="bibr" rid="B26">26</xref>), medium range (12%&#x2014;17%) (<xref ref-type="bibr" rid="B27">27</xref>&#x2013;<xref ref-type="bibr" rid="B30">30</xref>), and high range (21%&#x2014;56%) (<xref ref-type="bibr" rid="B31">31</xref>&#x2013;<xref ref-type="bibr" rid="B34">34</xref>). Two-year LTR rates are distributed into two ranges: low range (7%&#x2014;17%) (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B35">35</xref>) and high range (20%&#x2014;50%) (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>).</p>
<p>The currently prevailing theoretical explanation for LTR is the regeneration of nerve fibers within the TGT occurring 1-3 years postoperatively, leading to the reappearance of pain (<xref ref-type="bibr" rid="B5">5</xref>), termed neuroregeneration-mediated recurrence. Regarding STR, we propose that it represents non-neuroregeneration-mediated recurrence under the premise of effective RFT, i.e., recurrence due to patient-specific factors.</p>
<p>Indeed, not only STR research had been received considerable attention (<xref ref-type="bibr" rid="B31">31</xref>&#x2013;<xref ref-type="bibr" rid="B34">34</xref>), but STR occurring even earlier (within 1-6 months) has also been noted (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B38">38</xref>). J. Piquer et&#xa0;al. (<xref ref-type="bibr" rid="B39">39</xref>) reported a 1-year recurrence rate of 13% (13/98), but patients recurring within one year accounted for 46% (13/30) of all recurrences observed over more than three years. In our cohort, STR patients constituted 80% (4/5) of all recurrences within 3 years postoperatively. We speculate that the unusually high STR rate in our group may be related to a relatively higher proportion of patients with specific constitutional factors.</p>
<p>To date, 23 brain regions have been identified by various researchers as abnormally functional in TN patients (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B40">40</xref>&#x2013;<xref ref-type="bibr" rid="B42">42</xref>). We identified 19 abnormal functional brain regions in TN patients. The majority of these abnormal regions (68.4%, 13/19) were fully consistent with literature reports, a smaller portion (21.0%, 4/19) partially consistent, while abnormalities in the Rolandic_Oper_L and Cerebellum_9_L regions have not been previously reported in the literature.</p>
<p>Furthermore, in 15 PSR group patients with VAS scores of 10, we identified 16 abnormal brain regions. Among these, abnormalities in 9 regions related to pain perception, pain processing, emotional processing, vision, and memory differed from those observed in the broader TN group. This finding suggests that TN patients with severe pain possess unique characteristics in their abnormal brain region distribution. Among these 16 abnormal regions, abnormalities in Cerebellum_9_L, Lingual_R, and Calcarine_L have not been previously reported.</p>
<p>Overall, our study identified four novel abnormal brain regions in TN patients: Rolandic_Oper_L, Cerebellum_9_L, Lingual_R, and Calcarine_L. We attribute these findings to differences in the clinical characteristics of enrolled TN patients and variations in fMRI methodologies across studies. In fact, Liang Y et&#xa0;al. (<xref ref-type="bibr" rid="B43">43</xref>) also noted a lack of consistency in the locations of abnormal brain regions reported by different centers conducting fMRI research on TN patients.</p>
<p>Traditionally associated with motor control, the cerebellum is increasingly recognized for its critical role in non-motor functions, including pain modulation and emotional processing. The &#x201c;cognitive-affective cerebellum&#x201d; theory suggests that the posterior lobe and vermis serve as integral nodes within the pain matrix and salience network, specifically influencing the affective-motivational dimension of pain. Persistent abnormalities in these regions (e.g., Vermis_3 and Cerebellum_3_R) observed in our high-risk cohort may reflect entrenched central sensitization or maladaptive emotional learning associated with chronic neuropathic pain. Consequently, these central circuit disturbances could drive early symptom recurrence, independent of the technical success of the peripheral nerve intervention.</p>
<p>Departing from previous group-level comparison methods, this study also performed individual case-control comparisons for each of the 15 PSR group patients against a normal control group. Based on this cohort, all patients exhibiting abnormalities in one or more of the following regions (contralateral Insula_L, Fusiform_L, Vermis_3, Temporal_Sup_L, and ipsilateral Cerebellum_3_R, Fusiform_R with V1 involvement) experienced short-term recurrence after PSR-DTI. We therefore refer to these regions as candidate high-risk fMRI regions for recurrence risk stratification, pending external validation. Consequently, we define these 6 brain regions as high-risk recurrence regions on fMRI (H-fMRI) for individual TN patients undergoing PSR. Abnormalities in the Vermis_3 and Cerebellum_3_R regions in TN patients have not been previously reported.</p>
<p>The distinct predictive value of V1 division involvement combined with Fusiform_R abnormalities may be attributed to both anatomical and functional factors. Clinically, radiofrequency ablation of the ophthalmic (V1) division often requires more conservative temperature parameters to preserve the corneal reflex, which can potentially lead to less complete denervation compared to procedures targeting the V2 or V3 divisions. Functionally, the fusiform gyrus is integral to higher-order visual and object processing. The specific coupling of V1 pain&#x2014;which involves the ophthalmic nerve&#x2014;with fusiform abnormalities suggests a specific maladaptive neuroplasticity within visual-pain associative pathways. This unique central network alteration may be more resistant to standard thermal coagulation, thereby predisposing patients to higher rates of early recurrence.</p>
<p>In this study, PSR surgery resulted in the elimination or reduction of recurrence-related differential brain regions in each TN patient. This outcome aligns with Dou Z et&#xa0;al. (<xref ref-type="bibr" rid="B44">44</xref>) reporting decreased ReHo values in the Middle Temporal Gyrus, Postcentral Gyrus, and left Insula after RFT; matches Moisset X et&#xa0;al. (<xref ref-type="bibr" rid="B2">2</xref>)reporting the disappearance of Insula activation 1-2 months post-RFT; and is largely consistent with Wen-Ching Liu et&#xa0;al. (<xref ref-type="bibr" rid="B45">45</xref>) reporting significant regression of Insula and Cerebellar activation 1-2 weeks post-RRT. These findings demonstrate that PSR-DTI surgery effectively modulates abnormal brain region activity in TN patients.</p>
<p>Research on individualized rs-fMRI (irs-fMRI) is clinically essential for using abnormal brain regions as an indicator to predict postoperative recurrence risk. Theoretically, irs-fMRI results could be influenced by differences in patient state during pre- and postoperative scans. In this study, irs-fMRI examinations focusing on abnormal regions within the potential recurrence library confirmed that all 15 abnormal regions were either eliminated or attenuated following effective immediate treatment. This result suggests that targeting specific brain regions is an effective approach for individualized fMRI assessment.</p>
<p>There are reports that TN patients whom with increased ReHo values in Insula and/or Vermis experienced moderate short-term recurrence post-RFT (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B44">44</xref>). Those reports had some extent corroborate our finding that Insula and Vermis might contribute to short-term recurrence after RFT. However, the other four of our fund 6 H-fMRI regions as causes of short-term recurrence not previously reported. For the highest recurrence rates (100%) of fMRI compare with MRI (5%-15%) and DTI (60%). Taken together, these observations suggest that abnormal functional brain regions may represent an important correlate of short-term recurrence risk after RFT/PSR-DTI in TN. However, the predictive utility and generalizability of these candidate regions require prospective evaluation in larger, independent cohorts.</p>
<p>This study has certain limitations. We applied lateralization and branch-specific restrictions to the H-fMRI regions in this timeframe. As research sample sizes increase in the future, these lateralization and branch restrictions for H-fMRI regions may require further refinement.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>Rolandic_Oper_L, Cerebellum_9_L, Lingual_R, and Calcarine_L were newly discovered abnormal brain regions in trigeminal neuralgia patients. For the first time, six high-risk recurrence regions on fMRI highly associated with short-term postoperative recurrence were identified: contralateral Insula_L, Fusiform_L, Vermis_3 and Temporal_Sup_L, ipsilateral Cerebellum_3_R, Fusiform_R (specifically associated with V1 division involvement). This study provides an objective imaging basis for individualized prediction of early recurrence risk after PSR-DTI in trigeminal neuralgia.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<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 authors.</p></sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>This study was approved by the Ethics Committee of the China-Japan Union Hospital of Jilin University, Approval No. 2023102704. 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. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.</p></sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>ZM: Software, Conceptualization, Visualization, Formal analysis, Writing &#x2013; review &amp; editing, Data curation, Validation, Methodology, Writing &#x2013; original draft, Project administration. ZmW: Validation, Methodology, Writing &#x2013; review &amp; editing, Funding acquisition, Software, Writing &#x2013; original draft. XS:&#xa0;Software, Writing &#x2013; review &amp; editing, Validation, Writing &#x2013; original draft, Methodology, Formal analysis. MC: Validation, Writing &#x2013; review &amp; editing, Methodology, Writing &#x2013; original draft, Data curation, Software. ZjW: Formal analysis, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Software, Methodology. CD: Formal analysis, Writing &#x2013; original draft, Data curation, Conceptualization, Supervision, Writing &#x2013; review &amp; editing. YT:&#xa0;Writing &#x2013; review &amp; editing, Conceptualization, Writing &#x2013; original draft, Validation, Project administration, Formal analysis, Data curation.</p></sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p></sec>
<sec id="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec id="s12" sec-type="disclaimer">
<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>
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<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3354371">Jingjing Wang</ext-link>, McGill University, Canada</p></fn>
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