Epilepsy & BehaviorPub Date : 2025-10-01Epub Date: 2025-08-07DOI: 10.1016/j.yebeh.2025.110644
Evelyn K Shih, Brin E Freund, Michael R Sperling, Danielle A Becker, Proleta Datta, Sandra Dewar, Edward Faught, Tracy Glauser, R Edward Hogan, Randa Jarrar, Andres M Kanner, David King-Stephens, Rebecca E Matthews, Patricia Penovich, M Scott Perry, Eric B Segal, Joseph Sirven, John M Stern, James W Wheless, Enrique Carrazana, Adrian L Rabinowicz, William O Tatum
{"title":"Immediate-use rescue medication and the epilepsy monitoring unit: experiences from an expert panel.","authors":"Evelyn K Shih, Brin E Freund, Michael R Sperling, Danielle A Becker, Proleta Datta, Sandra Dewar, Edward Faught, Tracy Glauser, R Edward Hogan, Randa Jarrar, Andres M Kanner, David King-Stephens, Rebecca E Matthews, Patricia Penovich, M Scott Perry, Eric B Segal, Joseph Sirven, John M Stern, James W Wheless, Enrique Carrazana, Adrian L Rabinowicz, William O Tatum","doi":"10.1016/j.yebeh.2025.110644","DOIUrl":"10.1016/j.yebeh.2025.110644","url":null,"abstract":"<p><strong>Background: </strong>People with epilepsy (PWE) may experience seizure clusters, broadly defined as ≥2 seizures that occur in close proximity. In epilepsy monitoring units (EMUs), seizure clusters can spontaneously occur during long-term videoelectroencephalogram monitoring (LTVEM) or as a result of antiseizure medication dose adjustments. In this survey, we examined the experiences and practices of expert clinicians with seizure clusters in EMUs.</p><p><strong>Methods: </strong>A 55-item survey was sent to members of an Epilepsy Education Council who are epilepsy experts. Items described experiences, treatment practices, and negative outcomes with seizure clusters in EMUs.</p><p><strong>Results: </strong>Of the 15 experts (aged 43-77 y), 14 are physicians and 1 is an advanced practice provider; 14 work at level 4 epilepsy centers. The definition of seizure cluster varied across experts, from 2 seizures in 1 hour to 3 seizures over 24 hours. Twelve experts prescribe immediate-use rescue medication (RM) during EMU stay, usually a benzodiazepine. An intranasal route is preferred by 11 if intravenous access is unavailable. Nine experts have had a presurgical evaluation compromised owing to seizure clusters during LTVEM, and 12 have cared for PWE who required transfer to a higher-level care (eg, intensive care unit) owing to seizure clusters. Thirteen experts indicated they would follow expert consensus recommendations for immediate-use RMs in the EMU if available.</p><p><strong>Conclusions: </strong>In the EMU, seizure clusters may compromise presurgical evaluations and require higher levels of care. Consensus recommendations are needed to guide patient-specific treatment practices before, during, and after EMU admission.</p>","PeriodicalId":11847,"journal":{"name":"Epilepsy & Behavior","volume":"171 ","pages":"110644"},"PeriodicalIF":2.3,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144803879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Musical neurostimulation improves cognitive function in children with epilepsy and causes electroencephalogram changes.","authors":"Wei-Han Wang, Yung-Chia Chen, Rei-Cheng Yang, Mei-Wen Lee, Hin-Kiu Mok, Chen-Sen Ouyang, Yi-Hung Chiu, Rong-Ching Wu, Lung-Chang Lin","doi":"10.1016/j.yebeh.2025.110647","DOIUrl":"10.1016/j.yebeh.2025.110647","url":null,"abstract":"<p><strong>Purpose: </strong>Cognitive impairments are common in patients with epilepsy. Three musical pieces-Mozart's K. 448 first movement; Johann Sebastian Bach's Harpsichord Concerto No. 1 in D Minor, BWV 1052: I. Allegro; and Johann Christian Bach's Keyboard Concerto in E-flat Major, Op. 7-5: Allegro di Molto-were used as an intervention of musical neurostimulation in patients with epilepsy.</p><p><strong>Methods: </strong>A total of 34 children with epilepsy (13 boys, 21 girls) were involved. Each patient was randomly assigned to listen to one of the three musical pieces before bedtime every day for 6 months at home. An electroencephalogram (EEG), a neurocognitive test, and a Pediatric Quality of Life Inventory survey were conducted before and after the intervention.</p><p><strong>Results: </strong>The intervention significantly improved the patients' overall cognitive performance, including their memory, attention, processing speed, verbal fluency, and abstract thinking. However, no significant changes were found in their perceptual reasoning or executive function. In addition, the intervention had a positive effect on quality of life. EEG analysis revealed significantly increased alpha, beta, and gamma band power and significantly decreased theta and delta band power. It also revealed significantly increased EEG features of Hjorth complexity, Hjorth mobility, Higuchi fractal dimension, Lempel-Ziv complexity, Petrosian fractal dimension, and sample entropy and significantly decreased the EEG feature of detrended fluctuation analysis, particularly in the frontal regions.</p><p><strong>Conclusions: </strong>Listening to Mozart's K. 448, Johann Sebastian Bach's Allegro, and Johann Christian Bach's Allegro di Molto is a promising approach for improving the cognitive function of children with epilepsy.</p>","PeriodicalId":11847,"journal":{"name":"Epilepsy & Behavior","volume":"171 ","pages":"110647"},"PeriodicalIF":2.3,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144811959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Giancarlo Di Gennaro, Andrea Tomasini, Damiano Abeni, Angelo Labate, Carlo Di Bonaventura
{"title":"Response to \"The landscape of uncertainty: living, healing and dying with epilepsy. Anthropological reflections\".","authors":"Giancarlo Di Gennaro, Andrea Tomasini, Damiano Abeni, Angelo Labate, Carlo Di Bonaventura","doi":"10.1016/j.yebeh.2025.110679","DOIUrl":"https://doi.org/10.1016/j.yebeh.2025.110679","url":null,"abstract":"","PeriodicalId":11847,"journal":{"name":"Epilepsy & Behavior","volume":"172 ","pages":"110679"},"PeriodicalIF":2.3,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145198742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hannah E Snyder, Kyra Horsthuis, Kristal Cerga, David Callen
{"title":"EpilepTikTok: An inductive thematic analysis and quality assessment of #epilepsy content shared via a popular social media platform.","authors":"Hannah E Snyder, Kyra Horsthuis, Kristal Cerga, David Callen","doi":"10.1016/j.yebeh.2025.110711","DOIUrl":"https://doi.org/10.1016/j.yebeh.2025.110711","url":null,"abstract":"<p><p>TikTok is a globally popular social media platform, especially amongst the adolescent and young adult populations, that facilitates sharing of short-form videos. Use of this application for consumption of health-related information, and misinformation, is widespread. Epilepsy is one of the most common neurologic conditions, with abundant epilepsy-related videos appearing on TikTok. The current study sought to explore themes depicted within TikTok videos categorized under the hashtag \"#epilepsy\" by conducting an inductive thematic analysis of 200 videos. It also characterized the quality of content by assigning a Global Quality Scale score to all videos. Twelve major themes were found across \"#epilepsy\" videos, namely epilepsy education (19 %), quality of life (18 %), personal narratives (14 %), epilepsy syndromes (11 %), humour (10 %), filmed seizures without additional context (8 %), disease representation in prominent figures (7 %), impact on support persons (4 %), religious or cultural influences (2 %), advertising (2 %), advocacy (2 %), and alternative medicine (2 %). Video quality ranged from very poor to moderate across categories, and there was an inverse correlation between video quality and popularity metrics including likes, comments, saves and shares. Given the widespread use of social media by patients and their families, it is essential that providers are aware of general themes conveyed in videos, in order to combat misinformation and improve patient care.</p>","PeriodicalId":11847,"journal":{"name":"Epilepsy & Behavior","volume":"172 ","pages":"110711"},"PeriodicalIF":2.3,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145198804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Matthew J Kreinbrink, Leila Gachechiladze, Amir Srour, Anjeli B Inscore, Stephanie H Chen
{"title":"Use of the NIH Toolbox Cognition Battery in patients with drug-resistant epilepsy: A comparison with neuropsychological testing.","authors":"Matthew J Kreinbrink, Leila Gachechiladze, Amir Srour, Anjeli B Inscore, Stephanie H Chen","doi":"10.1016/j.yebeh.2025.110715","DOIUrl":"https://doi.org/10.1016/j.yebeh.2025.110715","url":null,"abstract":"<p><p>Cognitive function is an important consideration in treatment planning for patients with drug-resistant epilepsy (DRE). While comprehensive neuropsychological assessments are the gold standard for evaluating cognitive functioning, they are time and resource intensive, often restricting the scope of their use. The NIH Toolbox Cognition Battery (NIHTB-CB) offers a brief, standardized alternative, but its utility in adults with DRE remains unexplored. This study examined the criterion validity of the NIHTB-CB by comparing domain-specific scores to those from gold standard neuropsychological tests in thirty adults with DRE. Strong correlations were found for language (r = 0.83, p < 0.0001) and episodic memory (r = 0.63, p = 0.0003), while other domains showed moderate but non-significant associations. These results suggest that NIHTB-CB tests, particularly those that assess language and episodic memory, may serve as an adjunct tool to monitor and track cognitive function in DRE patients over time.</p>","PeriodicalId":11847,"journal":{"name":"Epilepsy & Behavior","volume":"172 ","pages":"110715"},"PeriodicalIF":2.3,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145198724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Effects of Teach-Back intervention on teachers' epilepsy knowledge, attitudes, self-efficacy, and first aid practices.","authors":"Dilek Gürçayır, Neziha Karabulut, Nilgün Söylemez","doi":"10.1016/j.yebeh.2025.110732","DOIUrl":"https://doi.org/10.1016/j.yebeh.2025.110732","url":null,"abstract":"<p><strong>Purpose: </strong>This study investigates not only the impact of first aid training but also how the Teach-Back method influences teachers' overall epilepsy knowledge, attitudes toward epilepsy, and self-efficacy in managing epileptic seizures.</p><p><strong>Methods: </strong>A total of 166 preschool teachers who filled out the questionnaire form and gave their consent were included in the study between April and June 2022. A quasiexperimental single-group pre-test post-test design was used in the study, Data were collected using the questionnaire form, Epilepsy Knowledge Scale, Childhood Epilepsy Attitude Scale and General Self-Efficacy Scale. The research data were collected by the researchers through face-to-face interviews.</p><p><strong>Results: </strong>It was determined that the rate of correct answers given by preschool teachers to most questions about first aid practices in epileptic seizures increased significantly after the training (p < 0.05). There was a significant improvement in preschool teachers' first aid practices at the end of the training compared to before the training. The mean score of the Epilepsy Knowledge Scale before the training was 11.16 ± 4.04, after the training was 14.59 ± 2.08, and the difference was statistically significant (p < 0.001). The mean Childhood Epilepsy Attitude Scale score before the training was 47.90 ± 4.02, after the training was 51.53 ± 4.55, and the difference was statistically significant (p < 0.001).</p><p><strong>Conclusion: </strong>Epilepsy education significantly improved teachers' knowledge and attitudes towards childhood epilepsy. However, the increase in general self-efficacy remained limited. This situation reveals the necessity of practical and long-term programs in addition to theoretical education.</p>","PeriodicalId":11847,"journal":{"name":"Epilepsy & Behavior","volume":"172 ","pages":"110732"},"PeriodicalIF":2.3,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145184877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Differentiation between epileptic and functional/dissociative seizures using density spectral array of ictal single-channel EEG with deep learning.","authors":"Kazutoshi Konomatsu, Yuki Kashiwada, Takafumi Kubota, Kazutaka Jin, Ryu Koda, Kento Takahashi, Temma Soga, Makoto Ishida, Naoto Kuroda, Kazushi Ukishiro, Yosuke Kakisaka, Masashi Aoki, Nobukazu Nakasato","doi":"10.1016/j.yebeh.2025.110713","DOIUrl":"https://doi.org/10.1016/j.yebeh.2025.110713","url":null,"abstract":"<p><p>Differentiating epileptic from non-epileptic seizures is the first step in the diagnosis of epilepsy. We investigated whether the density spectral array (DSA) of ictal EEG could differentiate between these seizures using a deep learning technique. We retrospectively reviewed consecutive patients with mesial temporal lobe epilepsy (mTLE) and functional/dissociative seizures (FDS) and analyzed seizures recorded using long-term video-EEG monitoring. The time of clinical onset was defined as zero, and the EEG recordings were clipped from -3 to + 3 min. Frequency analyses of Cz as well as means of C3 and C4, Fp1 and Fp2, O1 and O2, and all electrodes were performed to generate DSA with a linked-ear reference. ResNet34, which is a convolutional neural network (CNN) model, was trained and tested on these datasets. This study included 48 patients with mTLE and 51 with FDS. The CNN architecture was created using 40 patients with mTLE (91 seizures) and 40 with FDS (82 seizures) as training data, while eight patients with mTLE (15 seizures) and 11 with FDS (18 seizures) were evaluated using the model as test data. Exploratory analyses revealed that the Cz electrode and the Middle 1/3 interval yielded the highest area under the curve among the reduced-electrode settings (0.941), which was statistically confirmed by pre-specified DeLong tests after Bonferroni correction. The DSA of a single-channel EEG (Cz) successfully differentiated between epileptic and non-epileptic seizures using deep learning. These results highlight the potential of this approach as a practical adjunct to early screening and triage, particularly in resource-limited settings.</p>","PeriodicalId":11847,"journal":{"name":"Epilepsy & Behavior","volume":"172 ","pages":"110713"},"PeriodicalIF":2.3,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145184893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Andy Ho Wing Chan , Muhammad A. Parvaz , Riaz B. Shaik , Tarik Bel-Bahar , Onome Eka , Fedor Panov , Saadi Ghatan , Ji Yeoun Yoo , Anuradha Singh , Sloane Sheldon , Madeline C. Fields , Lara V. Marcuse , Nathalie Jette , James J. Young , Helen S. Mayberg
{"title":"A pilot study of inter-regional phase amplitude coupling as comorbid depression biomarker in temporal lobe epilepsy","authors":"Andy Ho Wing Chan , Muhammad A. Parvaz , Riaz B. Shaik , Tarik Bel-Bahar , Onome Eka , Fedor Panov , Saadi Ghatan , Ji Yeoun Yoo , Anuradha Singh , Sloane Sheldon , Madeline C. Fields , Lara V. Marcuse , Nathalie Jette , James J. Young , Helen S. Mayberg","doi":"10.1016/j.yebeh.2025.110728","DOIUrl":"10.1016/j.yebeh.2025.110728","url":null,"abstract":"<div><div>Temporal lobe epilepsy (TLE) is associated with depression, but the neurobiological mechanisms underlying their bidirectional relationship remain unclear. Phase-amplitude coupling (PAC) refers to the interaction between the phase of low-frequency oscillations and the amplitude of high-frequency oscillations within the same brain signal, reflecting coordination between different brain rhythms for communication and cognitive processes. While prior studies, including our own, have explored PAC within individual brain regions, inter-regional PAC (irPAC) has not been studied in TLE and comorbid depression. We investigated irPAC in 17 TLE patients with electrodes implanted in the hippocampus, amygdala, and four cortical and subcortical regions (superior temporal, superior frontal, mesial orbitofrontal, and rostral anterior cingulate) in Papez circuit and default mode network. Modulation indices for directional brain region pairings were computed using a data-driven approach. Our analysis revealed a distinct delta–beta coupling signature that differentiated depressed from non-depressed TLE patients and correlated significantly with Beck Depression Inventory scores (Spearman’s ratio ∼ 0.5), with similar correlation strengths observed for seizure frequency in the Epilepsy Monitoring Unit. These findings suggest that aberrant inter-regional oscillatory interactions within limbic–cortical circuits may contribute to depression in epilepsy. The delta-beta irPAC signal may represent depression-related neural signatures that are distinct from general epilepsy network dysfunction. This work provides new insights into the interplay between epilepsy and depression in Papez circuit and default mode network.</div></div>","PeriodicalId":11847,"journal":{"name":"Epilepsy & Behavior","volume":"172 ","pages":"Article 110728"},"PeriodicalIF":2.3,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145154169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Acceptance and commitment therapy for depression in adolescents with epilepsy","authors":"Rachel Batchelor , Maeve Violette","doi":"10.1016/j.yebeh.2025.110727","DOIUrl":"10.1016/j.yebeh.2025.110727","url":null,"abstract":"<div><h3>Background</h3><div>Adolescents with epilepsy are at increased risk of depression. One psychological intervention with a growing evidence base in physical health populations is acceptance and commitment therapy (ACT), yet its effectiveness on depression in adolescents with epilepsy has not yet been investigated.</div></div><div><h3>Aims</h3><div>This study aimed to evaluate the effectiveness of an ACT-based group intervention in reducing symptoms of depression in adolescents with epilepsy. It also aimed to assess if any reductions in depression were maintained at six-month follow-up.</div></div><div><h3>Methods</h3><div>Eighteen adolescents (aged 13–17-years-old) with epilepsy completed an eight-session ACT group intervention. Adolescents completed the Neurological Disorders Depression Inventory for Epilepsy − Youth (NDDI-E-Y) pre-ACT, post-ACT, and at six-month follow-up.</div></div><div><h3>Results</h3><div>Significant pre- to post-ACT reductions were found in symptoms of depression. At post-ACT and six-month follow-up, 77.8 % of adolescents no longer met clinical threshold for depression. Such effects were maintained at six-month follow-up.</div></div><div><h3>Clinical implications</h3><div>This study offers preliminary evidence indicating that ACT may be beneficial for addressing depression in adolescents with epilepsy. However, given the study limitations, these findings should be interpreted with caution, and further rigorous intervention research is required to strengthen the evidence base and guide the development of evidence-informed care pathways for this population.</div></div>","PeriodicalId":11847,"journal":{"name":"Epilepsy & Behavior","volume":"172 ","pages":"Article 110727"},"PeriodicalIF":2.3,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145154170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"SCN1A rs3812718 polymorphism modulates structural and functional brain networks in TLE: A multimodal imaging-genomics study.","authors":"Yiren Chen, Liyuan Fu, Xiaoyang Wang, Pengfan Yang, Hui Xiao, Shangwen Xu, Hui Li","doi":"10.1016/j.yebeh.2025.110725","DOIUrl":"https://doi.org/10.1016/j.yebeh.2025.110725","url":null,"abstract":"<p><strong>Objective: </strong>To investigate the impact of the SCN1A rs3812718 polymorphism on gray matter volume (GMV) and resting-state functional network topology in temporal lobe epilepsy (TLE) patients.</p><p><strong>Methods: </strong>60 TLE patients and 28 healthy controls (HCs) underwent genotyping and MRI (3D-T1, rs-fMRI). Participants were grouped by genotype (AA/AGvs.GG) and disease status (TLEvs.HC). Voxel-based morphometry assessed GMV; graph theory analyzed functional network topology. 2x2 ANCOVA tested genotype and disease main effects and their interaction.</p><p><strong>Results: </strong>AA/AG genotype frequency was higher in (TLE vs.HCs). GMV: Significant genotype main effect (AA/AGvs.GG): reduced GMV in right temporal regions/hippocampus/left SMG; increased in left MTG/right precuneus. Significant disease main effect (TLEvs.HC): widespread GMV reductions, especially in mesiotemporal/neocortical areas. Significant genotype-by-disease interaction: TLE patients with AA/AG genotype showed the most extensive GMV reductions (bilateral ITG, fusiform gyri, right hippocampus/precuneus/occipital, left caudate/rectus).</p><p><strong>Functional networks: </strong>Significant disease main effect: reduced degree centrality in left dorsolateral prefrontal cortex (SFGdor/MFG) in TLEvs.HC. No significant interaction effects on global/nodal topology.</p><p><strong>Correlations: </strong>In AA/AG TLE patients, left MTG GMV negatively correlated with epilepsy duration.</p><p><strong>Conclusion: </strong>The SCN1A rs3812718AA/AG genotype is a TLE risk factor. It independently and interactively (with disease status) is associated with structural brain alterations (GMV) in TLE and is linked to disease-related functional network changes (DC) in cognitive regions. These genetic-neuroimaging signatures offer potential biomarkers for TLE precision medicine.</p>","PeriodicalId":11847,"journal":{"name":"Epilepsy & Behavior","volume":"172 ","pages":"110725"},"PeriodicalIF":2.3,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145184888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}