Subcortical connectivity abnormalities in TLE organize into limbic-thalamo-striatal subnetworks with state- versus trait-like dissociation, which motivate prospective external validation as candidate FBTCS risk-stratification biomarkers and targets for personalized treatment.
Abstract
Background. Temporal lobe epilepsy (TLE) is the most common drug-resistant focal epilepsy, and a substantial subgroup develops focal-to-bilateral tonic-clonic seizures (FBTCS) carrying heightened risk for SUDEP, cognitive decline, and poor surgical outcomes. The subcortical network mechanisms that index seizure generalization, their dependence on onset laterality, and their utility as biomarkers are poorly defined. Methods. Resting-state fMRI was acquired from 166 TLE patients (120 FBTCS+, 46 FBTCS-; 71 right TLE, 95 left TLE) and 119 healthy controls. Functional network connectivity and graph-theoretic analyses quantified clustering coefficient, degree centrality, local efficiency, and intrinsic connectivity contrast across 16 bilateral thalamic regions (Aim 1) and 54 ROIs spanning thalamus, hippocampus, amygdala, caudate, putamen, globus pallidus, and nucleus accumbens (Aim 2). A prespecified rmMANCOVA cascade tested covariate robustness of FBTCS effects. Aim 3 used nested 10x5 cross-validated linear SVMs with bootstrap and DeLong inference, prespecified sensitivity analyses, and permutation testing to compare connectivity versus standard clinical features for FBTCS classification. Results. Aim 1 showed reduced cross-hemispheric ventral anterior thalamic connectivity in TLE, with more pronounced ipsilateral dysfunction in right TLE; only right-TLE FBTCS+ patients showed ipsilateral VA disruption that worsened with illness duration. Aim 2 identified six bilateral subcortical subnetworks with reduced clustering coefficient in left ventroposterior lateral thalamus, left ventral anterior caudate, and right ventroposterior putamen in FBTCS+ patients. Right TLE FBTCS+ patients showed elevated bilateral nucleus accumbens cross-hemispheric connectivity that tracked with recent seizure burden, dissociating a state-dependent accumbens marker from trait-like thalamo-striatal desegregation. In Aim 3, connectivity outperformed clinical features in pooled TLE (AUC 0.618 vs 0.418, delta-AUC = +0.200, DeLong p = .005) and most strongly in right TLE (AUC 0.657 vs 0.311, delta-AUC = +0.346, DeLong p = .002). Left TLE was null across all panels, serving as a within-study negative control. Ventroposterior thalamus and nucleus accumbens emerged as top discriminators. Conclusions. Subcortical connectivity abnormalities in TLE organize into limbic-thalamo-striatal subnetworks with state- versus trait-like dissociation. Connectivity features discriminate FBTCS status beyond clinical features in pooled and right TLE, while left TLE remains null. These signatures motivate prospective external validation as candidate FBTCS risk-stratification biomarkers and targets for personalized treatment.
Initial evidence is provided that intra-thalamic functional connectivity, particularly within the bilateral VA complex, is associated with FBTCS history in TLE and varies with lateralization of seizureonset, and may represent a biomarker for FBTCS.
Stacy N. Hudgins, Michael R Sperling, Hasan Ayaz et al.· Epilepsia· 0 citations
Successful TLE surgery is associated with partial restoration of cholinergic arousal network connectivity, supporting the idea that seizure cessation enables recovery of brain networks disrupted by recurrent seizures.
Addison C Cavender, Derek J. Doss, Ghassan S Makhoul et al.· Epilepsia· 0 citations
Overall, the available evidence supports a transition from a predominantly hippocampocentric framework toward a distributed thalamocortical network model of TLE, and emerging longitudinal evidence further suggests that thalamocortical networks may undergo postoperative reorganization following successful epilepsy surgery.
Giuseppina Bevacqua, Marco Ciavarro, L. Gaetani et al.· Brain Structure and Function· 0 citations
The multimodal findings suggest that increased hippocampal connectivity in the epileptogenic hemisphere may reflect pathological hypersynchronization that disrupts efficient memory network coordination in TLE and highlight hippocampal connectivity as a promising candidate biomarker for characterizing individual memory outcomes.
Ruxue Gong, Xiaolong Peng, Rebecca W. Roth et al.· Epilepsia· 0 citations
Multi-site findings demonstrate marked thalamic circuit fragmentation in TLE, and robustly showed subdivision-specific effects, which point to both mesiotemporal co-lateralization as well as broader system-level involvement.
Rui Ding, K. Xie, Judy Chen et al.· bioRxiv· 0 citations
Language impairment is common in childhood epilepsy and may arise in part from disruption of the distributed brain networks that support language. In self-limited epilepsy with centrotemporal spikes (SeLECTS)—the most common focal epilepsy of childhood—hyperconnectivity has been linked to poor language outcomes, but the specific network patterns associated with language dysfunction remain unclear, limiting the ability to target neurostimulation rationally. We recorded high-density EEG from 27 children with SeLECTS and 29 age-matched controls during verb generation and rest, and quantified functional connectivity across multiple frequency bands and bilateral frontal, temporal, occipital, and motor regions. Using multivariate pattern analysis, we identified connectivity patterns that predicted language ability, distinguished patterns shared across groups from those specific to SeLECTS and tested whether spatially specific connectivity provided information beyond whole-brain or hemispheric averages and conventional clinical variables. Frontal and occipitotemporal connectivity, particularly within the left hemisphere, predicted language ability across groups, whereas motor-network connectivity emerged as the dominant SeLECTS-specific predictor, linking the epileptogenic network to language dysfunction. Connectivity between specific regions outperformed averaged connectivity measures and predicted language beyond epilepsy diagnosis and antiseizure medication use. Task-based connectivity also outperformed resting-state connectivity. These findings show that language ability is associated with distributed yet spatially specific patterns of brain connectivity, while epilepsy introduces distinct alterations centered on the epileptogenic network. Identifying these disease-specific network patterns provides mechanistic insight into language dysfunction and a rational basis for spatially targeted neuromodulation.