A multimodal fusion framework reveals the heterogeneity of basal ganglia atrophy and its molecular mechanisms in temporal lobe epilepsy

The heterogeneity of basal ganglia (BG) atrophy in temporal lobe epilepsy (TLE) has not been fully elucidated. This study employed a multimodal fusion framework to examine the potential heterogeneity of BG atrophy among TLE patients. 89 patients diagnosed with TLE were recruited. Structural magnetic resonance imaging (sMRI), resting - state functional magnetic resonance imaging (fMRI), consensus clustering (CC), and neuroimaging - transcriptomic approaches were integrated to explore the structural and functional alterations in the BG and their molecular mechanisms. Canonical correlation analysis (CCA) was employed to investigate the associations between MRI features and clinical characteristics. An individualized prediction model was constructed to facilitate clinical decision-making. CC identified a significant subgroups of BG atrophy in TLE: widespread BG atrophy (TLE-Cluster1, TLE-C1). In TLE-C1, the functional connectivity between the BG and cortical regions associated with sensation, emotion, and memory was notably enhanced. These patients additionally exhibited more severe cognitive impairment as well as higher degrees of anxiety and depression. Transcriptomic analysis established a connection between the heterogeneity of BG atrophy and specific gene expression patterns that were enriched in biological processes such as synaptic function, neurostructural development, and learning and memory. Further analyses uncovered a positive correlation between the gray matter volume of BG and cognitive performance. A classifier based on a Neural Network (NNET) predicted cognitive function with an area under curve (AUC) of 0.983. This study characterizes BG atrophy heterogeneity in TLE, its molecular mechanisms, and clinical relevance, offering insights for personalized diagnosis and management.

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Publication Details

Journal
Brain Research Bulletin
Published
2025-12-09
DOI
https://doi.org/10.1016/j.brainresbull.2025.111682
Primary Topic
Functional Brain Connectivity Studies
Type
article
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article

A multimodal fusion framework reveals the heterogeneity of basal ganglia atrophy and its molecular mechanisms in temporal lobe epilepsy

Jinou Zheng, Qin Zhou, Huoyou Hu, Bailing Qin et al.
Brain Research Bulletin
Functional Brain Connectivity Studies
article

A multimodal fusion framework reveals the heterogeneity of basal ganglia atrophy and its molecular mechanisms in temporal lobe epilepsy

Jinou Zheng, Qin Zhou, Huoyou Hu, Bailing Qin, Bingyu Lv, Zirong Chen, Cuimi Luo, Xiaochuan Fu, Guiming Weng
article en

Abstract

The heterogeneity of basal ganglia (BG) atrophy in temporal lobe epilepsy (TLE) has not been fully elucidated. This study employed a multimodal fusion framework to examine the potential heterogeneity of BG atrophy among TLE patients. 89 patients diagnosed with TLE were recruited. Structural magnetic resonance imaging (sMRI), resting - state functional magnetic resonance imaging (fMRI), consensus clustering (CC), and neuroimaging - transcriptomic approaches were integrated to explore the structural and functional alterations in the BG and their molecular mechanisms. Canonical correlation analysis (CCA) was employed to investigate the associations between MRI features and clinical characteristics. An individualized prediction model was constructed to facilitate clinical decision-making. CC identified a significant subgroups of BG atrophy in TLE: widespread BG atrophy (TLE-Cluster1, TLE-C1). In TLE-C1, the functional connectivity between the BG and cortical regions associated with sensation, emotion, and memory was notably enhanced. These patients additionally exhibited more severe cognitive impairment as well as higher degrees of anxiety and depression. Transcriptomic analysis established a connection between the heterogeneity of BG atrophy and specific gene expression patterns that were enriched in biological processes such as synaptic function, neurostructural development, and learning and memory. Further analyses uncovered a positive correlation between the gray matter volume of BG and cognitive performance. A classifier based on a Neural Network (NNET) predicted cognitive function with an area under curve (AUC) of 0.983. This study characterizes BG atrophy heterogeneity in TLE, its molecular mechanisms, and clinical relevance, offering insights for personalized diagnosis and management.

Brain Research BulletinVol. 234
Guangxi Medical University (CN), First Affiliated Hospital of GuangXi Medical University (CN)
Openalex Percentile: Top 60%
Functional Brain Connectivity Studies
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