Clinical Neurophysiology Practice最新文献

{"title":"Temporal summation of subthreshold stimuli in human motor axons: Implications for intraoperative neuromonitoring","authors":"A. Naidoo ,&nbsp;KE. Jones","doi":"10.1016/j.cnp.2025.12.004","DOIUrl":"10.1016/j.cnp.2025.12.004","url":null,"abstract":"<div><h3>Objectives</h3><div>To examine how stimulus amplitude and width influence subthreshold superexcitability of peripheral axons and to provide evidence-based recommendations for minimizing inadvertent compound muscle action potential (CMAP) generation during intraoperative corticobulbar monitoring.</div></div><div><h3>Methods</h3><div>Fifteen healthy participants received median nerve stimulation under nine conditions combining three amplitudes (80 %, 85 %, and 90 % of threshold) and three pulse widths (0.1 ms, 0.5 ms, 1.0 ms). Trains of 1–7 subthreshold pulses (2 ms interpulse interval) were delivered 10 times per condition. CMAPs were recorded from the abductor pollicis brevis (APB), and the probability of a response exceeding 100 µV (baseline-to-negative-peak) was calculated. Persistent sodium current was estimated using the latent addition test (LAh).</div></div><div><h3>Results</h3><div>Higher pulse amplitudes and wider pulse widths significantly increased CMAP probability, with a significant interaction (F(4,56) = 4.853, p = 0.002, partial η² = 0.257). All pairwise comparisons were significant (p ≤ 0.023). When controlling for rheobase, LAh was positively correlated with response probability (r_partial(12) = 0.539, p = 0.047).</div></div><div><h3>Conclusions &amp; significance</h3><div>Subthreshold trains activate motor axons in a predictable manner depending on amplitude, width, and train length. These findings challenge current IONM assumptions and highlight the need for threshold-referenced, standardized protocols.</div></div>","PeriodicalId":45697,"journal":{"name":"Clinical Neurophysiology Practice","volume":"11 ","pages":"Pages 5-12"},"PeriodicalIF":2.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145841457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Shopping bag tremor: insights from kinematic analysis","authors":"Daniele Birreci,&nbsp;Simone Aloisio,&nbsp;Anna S. Grandolfo,&nbsp;Martina De Riggi,&nbsp;Luca Angelini,&nbsp;Antonio Cannavacciuolo,&nbsp;Matteo Bologna","doi":"10.1016/j.cnp.2026.07.002","DOIUrl":"10.1016/j.cnp.2026.07.002","url":null,"abstract":"<div><h3>Background</h3><div>Shopping bag tremor (SBT) is a rare activation-specific tremor characterized by weight-dependent oscillations, with uncertain nosological classification.</div></div><div><h3>Case Report</h3><div>We report a 74-year-old woman with a right upper limb tremor triggered by carrying a shopping bag, with mild rest component. Kinematic analysis demonstrated a non-linear load–response relationship, with low tremor amplitude when unloaded, maximal at low loads (1 kg), and progressively decreasing as weight increased. No abnormalities were detected on finger tapping analysis.</div></div><div><h3>Discussion</h3><div>This case expands the phenotypic spectrum of SBT and supports quantitative kinematic analysis as a feasible first-line tool within diagnostic algorithms for complex tremor presentations.</div></div>","PeriodicalId":45697,"journal":{"name":"Clinical Neurophysiology Practice","volume":"11 ","pages":"Pages 589-592"},"PeriodicalIF":2.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148587757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unmasking the sacral reflex: Successful recording of the oligosynaptic component using the St. Mark's electrode in an intravaginal setup","authors":"André Truffert","doi":"10.1016/j.cnp.2026.07.004","DOIUrl":"10.1016/j.cnp.2026.07.004","url":null,"abstract":"","PeriodicalId":45697,"journal":{"name":"Clinical Neurophysiology Practice","volume":"11 ","pages":"Pages 570-571"},"PeriodicalIF":2.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148587758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of transcranial direct current stimulation and mindful walking on directional brain connectivity: An isolated effective coherence analysis","authors":"Keiichiro Nishida,&nbsp;Naoya Onishi,&nbsp;Yosuke Koshikawa,&nbsp;Tomonari Yamane,&nbsp;Toshiyuki Shimizu,&nbsp;Shunichiro Ikeda,&nbsp;Daisuke Haruna,&nbsp;Masafumi Yoshimura,&nbsp;Tetsufumi Kanazawa","doi":"10.1016/j.cnp.2026.07.006","DOIUrl":"10.1016/j.cnp.2026.07.006","url":null,"abstract":"<div><h3>Introduction</h3><div>Mindfulness and transcranial direct current stimulation (tDCS) modulate brain networks implicated in psychopathology. This study investigated the synergistic effects of concurrent anodal tDCS over the left dorsolateral prefrontal cortex (DLPFC) and treadmill walking for Focused Mindfulness (TW-FM) on effective directional brain connectivity for focused mindfulness.</div></div><div><h3>Methods</h3><div>Seventy-seven healthy participants were assigned to three groups: Active tDCS with Mindful walking (Active-MW), Sham tDCS with MW (Sham-MW), or Active tDCS during Resting State (Active-RS) by combining data sets from two individual studies. Isolated effective coherence (iCoh) in the theta and alpha bands was analyzed using standardized low-resolution brain electromagnetic tomography (sLORETA).</div></div><div><h3>Results</h3><div>Active tDCS significantly reduced information flow from the posterior cingulate cortex (PCC) to the rostral anterior cingulate cortex (rACC) within the Default Mode Network (DMN). Furthermore, the mindfulness intervention significantly attenuated the flow from the rACC to the medial prefrontal cortex (mPFC) and the flow from the left inferior parietal lobe to the mPFC. Notably, Active tDCS strengthened interhemispheric Executive Control Network (ECN) connectivity from the right to the left DLPFC. Conversely, the Active-MW group exhibited reduced alpha band connectivity from the right DLPFC to the rACC compared to the other groups.</div></div><div><h3>Conclusions</h3><div>The combined intervention elicited hierarchical decoupling of the DMN. tDCS suppressed bottom-up emotional pathways, whereas mindfulness inhibited the propagation of salient signals to self-referential processing. Simultaneously, the intervention strengthened top-down executive control. These findings suggest that combining tDCS with mindful walking effectively ameliorates DMN-dominant/ECN-recessive imbalance., highlighting its potential as a clinical tool to facilitate mindfulness engagement.</div></div>","PeriodicalId":45697,"journal":{"name":"Clinical Neurophysiology Practice","volume":"11 ","pages":"Pages 593-600"},"PeriodicalIF":2.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148565683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"EStiMapp: A practical tool for mapping clinical symptoms evoked by electrical stimulation in intracranial EEG for epilepsy surgery","authors":"Irene B. Heijink,&nbsp;Susanne B. Jelsma,&nbsp;Sandra M.A. van der Salm,&nbsp;Nicole E.C. van Klink,&nbsp;Cyrille H. Ferrier,&nbsp;Sem Hoogteijling,&nbsp;Charlotte J.J. van Asch,&nbsp;Dorien van Blooijs,&nbsp;Maeike Zijlmans,&nbsp;on behalf of the RESPect database group","doi":"10.1016/j.cnp.2026.06.006","DOIUrl":"10.1016/j.cnp.2026.06.006","url":null,"abstract":"<div><h3>Objective</h3><div>Electrical stimulation of intracranial electrodes can map the patient's specific functional regions and seizure related symptoms. In our clinical practice, evoked functional symptoms and electrographic responses are manually annotated and visualized in a schematic electrode overview: an error-prone and time-consuming process. We here present an open-source graphical user interface (GUI) that standardizes the workflow and automatizes the visualization of intracranial EEG (iEEG) electrical stimulation results.</div></div><div><h3>Methods</h3><div>We defined categories of evoked clinical symptoms based on a literature study and consensus session. A co-design team participated in brainstorm sessions to set the requirements of the GUI. We built the GUI and tested its usability with qualitative and quantitative assessments (System Usability Scales (SUS) questionnaires).</div></div><div><h3>Results</h3><div>The workflow included standardized annotation of categories of evoked clinical symptoms in the iEEG software. The GUI visualized these evoked clinical symptoms in a 2D schematic overview, a 3D visualization of the brain with locations of evoked symptoms, and showed additional annotations per stimulated electrodes in a table. A mean SUS score of 82.3 (SD 9.2) was reached, which is considered excellent.</div></div><div><h3>Conclusions</h3><div>We present an in-house developed workflow and graphical user interface (GUI) to categorize and directly visualize evoked clinical symptoms resulting from electrical stimulation on intracranial electrodes.</div></div><div><h3>Significance</h3><div>Our open-source GUI facilitates standardization of the intracranial stimulation workflow and directly enables straightforward and uniform interpretation of evoked clinical symptoms.</div></div>","PeriodicalId":45697,"journal":{"name":"Clinical Neurophysiology Practice","volume":"11 ","pages":"Pages 492-502"},"PeriodicalIF":2.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13333301/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148438229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Short-term sensorimotor practice reduces somatosensory temporal discrimination threshold and enhances somatosensory cortex excitability","authors":"Naoshin Yoshida ,&nbsp;Tomotaka Suzuki ,&nbsp;Kakuya Ogahara ,&nbsp;Tomoya Kokue ,&nbsp;Toshio Higashi ,&nbsp;Kenichi Sugawara","doi":"10.1016/j.cnp.2026.04.008","DOIUrl":"10.1016/j.cnp.2026.04.008","url":null,"abstract":"<div><h3>Objective</h3><div>To investigate whether short-term sensorimotor practice alters the somatosensory temporal discrimination threshold (STDT), primary somatosensory cortex (S1) responses, and intracortical inhibition.</div></div><div><h3>Methods</h3><div>Thirty-eight healthy adults were randomly assigned to either a coin rotation (CR, n = 19) or a finger tapping (FT, n = 19) group and completed 10 training sessions. CR performance, STDT, somatosensory evoked potentials (SEPs), high-frequency oscillations (HFOs), and paired-pulse depression (PPD) at interstimulus intervals (ISI) of 5 ms and 30 ms were assessed before and after training.</div></div><div><h3>Results</h3><div>CR performance improved by 33% (<em>p</em> &lt; 0.001). STDT decreased on the trained side (main effect of test: <em>p</em> = 0.017), with no between-group difference or interaction. N20/P25 amplitude and HFOs (single-stimulus and ISI 5 ms conditions) increased after training. PPD at both ISIs showed no significant effects.</div></div><div><h3>Conclusions</h3><div>Short-term sensorimotor practice reduced STDT and enhanced S1 responses without detectable changes in PPD-indexed inhibition. The lack of between-group differences suggests these effects may reflect a common effect of repetitive sensorimotor practice across the two active tasks tested, rather than task-specific learning.</div></div><div><h3>Significance</h3><div>In this paradigm, STDT improved without detectable changes in PPD-indexed inhibition, suggesting that alternative mechanisms of sensory temporal processing warrant consideration.</div></div>","PeriodicalId":45697,"journal":{"name":"Clinical Neurophysiology Practice","volume":"11 ","pages":"Pages 337-347"},"PeriodicalIF":2.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147797739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Olfactory ERP-based classification of anosmia and normosmia using machine learning","authors":"Kwangsu Kim ,&nbsp;Thomas Hummel","doi":"10.1016/j.cnp.2026.05.007","DOIUrl":"10.1016/j.cnp.2026.05.007","url":null,"abstract":"<div><h3>Objective</h3><div>This study aimed to investigate whether electroencephalogram (EEG) data can be used to classify normosmia and anosmia using machine learning approaches and to examine how classification performance varies across single and combined chemical stimulation conditions.</div></div><div><h3>Methods</h3><div>EEG signals were recorded from 66 participants (26 normosmic and 40 anosmic) during olfactory stimulation with phenyl ethyl alcohol (PEA), hydrogen sulfide (H₂S), and carbon dioxide (CO₂), presented to the left and right nostrils. EEG data were averaged for each condition, resulting in six chemosensory event-related potential (CSERP) datasets per participant. Three machine learning models—support vector machine (SVM), random forest (RF), and convolutional neural network (CNN)—were used to classify normosmia and anosmia.</div></div><div><h3>Results</h3><div>Among all single and combined odor conditions, the combination of PEA_Right + H₂S_Left + H₂S_Right achieved the highest performance (ACC = 86.37%, F1 = 0.88, AUC = 0.85). CNN generally outperformed SVM and RF across most conditions. H₂S stimulation consistently provided strong discriminative power, particularly under left-sided presentation.</div></div><div><h3>Conclusion</h3><div>Machine learning applied to EEG-based CSERPs can effectively distinguish olfactory dysfunction, demonstrating the feasibility of this approach for objective evaluation of olfactory processing.</div></div><div><h3>Significance</h3><div>These findings suggest that EEG-based machine learning can serve as an objective framework for assessing olfactory function and may contribute to future development of data-driven diagnostic strategies for smell disorders.</div></div>","PeriodicalId":45697,"journal":{"name":"Clinical Neurophysiology Practice","volume":"11 ","pages":"Pages 409-415"},"PeriodicalIF":2.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148230818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diagnostic test accuracy meta-analysis of transcranial motor evoked potential monitoring for the prediction of postoperative neurological deficits in ossification of the posterior longitudinal ligament surgery","authors":"L. Velur Prasuna ,&nbsp;Velur Vibha ,&nbsp;Gong Marvin","doi":"10.1016/j.cnp.2026.05.008","DOIUrl":"10.1016/j.cnp.2026.05.008","url":null,"abstract":"<div><h3>Objective</h3><div>To quantify the diagnostic accuracy of transcranial motor evoked potential (TcMEP) monitoring for predicting postoperative neurological deficits in adults undergoing decompressive surgery exclusively for ossification of the posterior longitudinal ligament (OPLL), and to characterise heterogeneity sources.</div></div><div><h3>Methods</h3><div>PubMed, Embase, and Cochrane were searched through January 2026. Studies were eligible if they reported extractable 2 × 2 contingency data for TcMEP monitoring in OPLL-exclusive cohorts (≥20 patients); quality was assessed with QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies). Sensitivity and specificity were pooled using random-effects models; a strong threshold effect (ρ = 0.91) precluded valid summary receiver operating characteristic (sROC) estimation. Publication bias was assessed by funnel plot regression.</div></div><div><h3>Results</h3><div>Five studies (990 patients; deficit rate 6.9%) met eligibility. Pooled sensitivity was 54.8% (95% confidence interval [CI]: 28.8–78.5%) and specificity 90.0% (95% CI: 78.9–95.6%). Positive likelihood ratio (LR+) was 5.47; negative LR− 0.50; diagnostic odds ratio (DOR) 13.75 (95% CI: 7.11–26.59; I² = 0%). Heterogeneity was moderate for sensitivity (I² = 61.8%) and substantial for specificity (I² = 90.6%). No significant publication bias was detected (<em>p</em> = 0.846).</div></div><div><h3>Conclusions</h3><div>TcMEP monitoring in OPLL decompression yields pooled sensitivity 54.8%, specificity 90.0%, DOR 13.75 (I² = 0%), and LR+ 5.47. Level-specific alarm thresholds, multimodal monitoring, and standardised reporting are prerequisites for reliable clinical implementation.</div></div><div><h3>Significance</h3><div>This is the first meta-analysis of TcMEP diagnostic accuracy in OPLL-exclusive surgical populations. The consistent DOR (I² = 0%) supports diagnostic utility, but independence assumption violations and strong threshold effects require caution in clinical translation.</div></div>","PeriodicalId":45697,"journal":{"name":"Clinical Neurophysiology Practice","volume":"11 ","pages":"Pages 426-433"},"PeriodicalIF":2.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148230825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Clinical utility of in-ear EEG electrodes in hospitalized patients: comparison with standard scalp EEG","authors":"Monika Dzalto,&nbsp;Adela Desowska,&nbsp;Nina Moutonnet,&nbsp;Sajitha Cannadathu,&nbsp;Olivia Lucas,&nbsp;Ben Moore,&nbsp;Yeliz Demir,&nbsp;Clementine Tshuma,&nbsp;Robert Leech,&nbsp;Steven White,&nbsp;Danilo Mandic,&nbsp;Gregory Scott","doi":"10.1016/j.cnp.2026.08.007","DOIUrl":"10.1016/j.cnp.2026.08.007","url":null,"abstract":"<div><h3>Objective</h3><div>Clinical electroencephalography (EEG) is resource-intensive, requiring expensive equipment and trained specialists to attach scalp electrodes. Consequently, there is interest in alternative EEG technologies that could provide low-cost, user-friendly, and unobtrusive recording in clinical settings. Here, we aimed to evaluate the clinical utility of in-ear EEG electrodes in hospitalized patients through direct comparison with routine scalp EEG.</div></div><div><h3>Methods</h3><div>For thirty routine adult in-patient clinical EEG recordings at Charing Cross Hospital (London, United Kingdom), participants were recruited and had in-ear EEG electrodes placed alongside standard scalp electrodes. Recordings from ear and scalp electrodes were independently and blindly interpreted by a consultant clinical neurophysiologist using a bespoke assessment protocol. Scalp EEG served as the gold-standard reference.</div></div><div><h3>Results</h3><div>Compared with scalp EEG, interpretation of ear EEG achieved a sensitivity of 83.3%, specificity of 80.0%, and accuracy of 82.8% for the detection of any neurophysiological abnormality. There was substantial agreement between ear and scalp EEG for encephalopathy grading (quadratic weighted kappa = 0.72). One left posterior quadrant seizure, present in scalp EEG, was not detected by ear EEG interpretation alone.</div></div><div><h3>Conclusion</h3><div>In-ear EEG demonstrated good agreement with conventional scalp EEG for the detection of clinically relevant abnormalities, with substantial agreement for encephalopathy severity grading. While reduced spatial coverage may limit sensitivity to focal phenomena, in-ear EEG appears well-suited to detecting diffuse cerebral dysfunction.</div></div><div><h3>Significance</h3><div>This study paves the way for broader clinical development and validation of ear EEG-based devices as a pragmatic and scalable technology for use in acute hospital settings.</div></div>","PeriodicalId":45697,"journal":{"name":"Clinical Neurophysiology Practice","volume":"11 ","pages":"Pages 757-763"},"PeriodicalIF":2.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13560526/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148931518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-modal connectome analysis of the stereoelectroencephalography implantation effect: a case report","authors":"Taichi Sayanagi,&nbsp;Kenzo Kosugi,&nbsp;Takuya Enomoto,&nbsp;Masashi Fujisawa,&nbsp;Shiho Matsuoka,&nbsp;Junko Shinohara,&nbsp;Toshiki Tezuka,&nbsp;Yuji Nakayama,&nbsp;Masahiro Toda","doi":"10.1016/j.cnp.2026.09.002","DOIUrl":"10.1016/j.cnp.2026.09.002","url":null,"abstract":"<div><div>Stereoelectroencephalography (SEEG) may induce seizure reduction in some patients, known as the implantation effect, but its network mechanism remains unclear. We investigated whether SEEG electrode insertion is associated with measurable brain network reorganisation using longitudinal multi-modal analysis. We studied a patient with drug-resistant right temporal lobe epilepsy who experienced seizure reduction after SEEG implantation and subsequently underwent anterior temporal lobectomy, achieving ILAE class 1a seizure freedom at 6-month follow-up. Structural connectivity from diffusion MRI, resting-state functional connectivity and intracranial EEG connectivity were analysed longitudinally. Connectome gradients were computed using diffusion map embedding, and resected tissue was examined histopathologically. Multi-modal analysis showed convergent connectivity changes after SEEG implantation: decreased hippocampus–amygdala connectivity, decreased fusiform gyrus–temporal pole connectivity and increased hippocampus–posterior cingulate connectivity. Diffusion MRI gradient analysis showed eccentricity reduction of 11.9% after SEEG and 17.6% after lobectomy, consistent with greater network integration. SEEG connectivity showed reduced limbic synchronisation between days 3 and 7 of monitoring. Histopathology demonstrated lymphocytic infiltration and reactive gliosis around electrode trajectories, consistent with chronic inflammation. SEEG implantation was associated with limbic disconnection, enhanced hippocampus–posterior cingulate connectivity and partial normalisation of connectome topology. The convergent findings suggest that electrode-induced micro-lesions may produce network-modifying effects that contribute to the implantation effect.</div></div>","PeriodicalId":45697,"journal":{"name":"Clinical Neurophysiology Practice","volume":"11 ","pages":"Pages 782-787"},"PeriodicalIF":2.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149004439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}