Revealing brain network hierarchy and molecular correlates in temporal lobe epilepsy: A multimodal neuroimaging study.

OBJECTIVE

To investigate hierarchical brain network abnormalities in temporal lobe epilepsy (TLE) using multimodal neuroimaging and explore their molecular mechanisms and cognitive correlates.

METHODS

This study included 52 TLE patients and 49 healthy controls (HCs). Multimodal MRI data were acquired and analyzed for connectivity gradients, Structural Decoupling Index (SDI), and rich-club topology. Gene expression data from the Allen Human Brain Atlas were used to identify molecular correlates. Cognitive function was assessed using the Attention Network Test (ANT).

RESULTS

TLE patients showed widespread functional gradient reorganization, while structural gradients remained stable. The Default mode network (DMN) exhibits abnormalities in all imaging modalities. Rich-club analysis revealed functional core-periphery dissociation versus structural convergence. All network metrics showed enrichment for carboxylic acid metabolic processes. The SDI robustly predicted all three ANT efficiency measures.

CONCLUSION

This study provides novel evidence for systematic hierarchical network abnormalities in TLE patients through integrated multimodal analysis. Gene enrichment analysis revealed that alterations in structural, functional, and connectivity network metrics were specifically enriched in carboxylic acid metabolic processes, establishing a molecular framework for interpreting TLE network alterations.