期刊
NEUROIMAGE
卷 228, 期 -, 页码 -出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2020.117705
关键词
Epilepsy; Graph theory; Brain networks; Eigen decomposition; Functional network; Structural network; Laplacian
资金
- NIH BRAIN Initiative [EB022717]
- Finding A Cure for Epilepsy and Seizures (FACES)
The study found that the relationship between brain function and structure in patients with temporal lobe epilepsy and in normal individuals is similar, suggesting that the brain reconfigures and rewires fine-scale connectivity under temporal lobe epilepsy conditions.
The relationship between anatomic and resting state functional connectivity of large-scale brain networks is a major focus of current research. In previous work, we introduced a model based on eigen decomposition of the Laplacian which predicts the functional network from the structural network in healthy brains. In this work, we apply the eigen decomposition model to two types of epilepsy; temporal lobe epilepsy associated with mesial temporal sclerosis, and MRI-normal temporal lobe epilepsy. Our findings show that the eigen relationship between function and structure holds for patients with temporal lobe epilepsy as well as normal individuals. These results suggest that the brain under TLE conditions reconfigures and rewires the fine-scale connectivity (a process which the model parameters are putatively sensitive to), in order to achieve the necessary structure-function relationship.
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