.png){kind=icon}
.png){kind=icon}
Return
CTV-MIND: A cortical thickness-volume integrated individualized morphological network model to explore disease progression in temporal lobe epilepsy
.png){kind=icon}
OA
AI
DOI：10.1016/j.nicl.2025.103843.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• Novel MRI-based CTV-MIND framework reveals duration-related hub reorganization in TLE. • Reorganized hubs drive disease duration-dependent premature brain aging. • Network node alterations significantly correlate with cortical atrophy in TLE.
Keywords:
Brain network reorganization
Brain age prediction
CTV-MIND
MRI
TLE
MIND
Morphometric INverse Divergence
CT
cortical thickness
Vol
gray matter volume
CTV-MIND
Cortical Thickness-Volume Integrated MIND
TLE
Temporal lobe epilepsy
HC
healthy controls
MRI
magnetic resonance imaging
KL
Kullback-Leibler
Dc
node degree centrality
Ne
node efficiency
NBS
network-based statistics
FDR
false discovery rate
ANCOVA
analysis of covariance
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
3.6
Papers:
3.9K
Citations:
1.5W