title: Multivariate pattern analysis reveals anatomical connectivity differences between the left and right mesial temporal lobe epilepsy.
abstract: Previous studies have demonstrated differences of clinical signs and functional brain network organizations between the left and right mesial temporal lobe epilepsy (mTLE), but the anatomical connectivity differences underlying functional variance between the left and right mTLE remain uncharacterized. We examined 43 (22 left, 21 right) mTLE patients with hippocampal sclerosis and 39 healthy controls using diffusion tensor imaging. After the whole-brain anatomical networks were constructed for each subject, multivariate pattern analysis was applied to classify the left mTLE from the right mTLE and extract the anatomical connectivity differences between the left and right mTLE patients. The classification results reveal 93.0% accuracy for the left mTLE versus the right mTLE, 93.4% accuracy for the left mTLE versus controls and 90.0% accuracy for the right mTLE versus controls. Compared with the right mTLE, the left mTLE exhibited a different connectivity pattern in the cortical-limbic network and cerebellum. The majority of the most discriminating anatomical connections were located within or across the cortical-limbic network and cerebellum, thereby indicating that these disease-related anatomical network alterations may give rise to a portion of the complex of emotional and memory deficit between the left and right mTLE. Moreover, the orbitofrontal gyrus, cingulate cortex, hippocampus and parahippocampal gyrus, which exhibit high discriminative power in classification, may play critical roles in the pathophysiology of mTLE. The current study demonstrated that anatomical connectivity differences between the left mTLE and the right mTLE may have the potential to serve as a neuroimaging biomarker to guide personalized diagnosis of the left and right mTLE.
authors.affiliation: College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan 410073, China.
authors.forename: Peng
authors.initials: P
authors.lastname: Fang
authors.affiliation: Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
authors.forename: Jie
authors.initials: J
authors.lastname: An
authors.affiliation: College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan 410073, China.
authors.forename: Ling-Li
authors.initials: LL
authors.lastname: Zeng
authors.affiliation: College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan 410073, China.
authors.forename: Hui
authors.initials: H
authors.lastname: Shen
authors.affiliation: College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan 410073, China.
authors.forename: Fanglin
authors.initials: F
authors.lastname: Chen
authors.affiliation: Medical Imaging Center, Guangdong 999 Brain Hospital, Guangzhou 510510, China.
authors.forename: Wensheng
authors.initials: W
authors.lastname: Wang
authors.affiliation: Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
authors.forename: Shijun
authors.initials: S
authors.lastname: Qiu
authors.affiliation: College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan 410073, China.
authors.forename: Dewen
authors.initials: D
authors.lastname: Hu
mesh_terms: D000293:Adolescent; D000328:Adult; D001921:Brain / Q000473:pathology*; D056324:Diffusion Tensor Imaging; D004833:Epilepsy, Temporal Lobe / Q000473:pathology*; D005260:Female; D007839:Functional Laterality / Q000502:physiology; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D008297:Male; D015999:Multivariate Analysis; D009434:Neural Pathways / Q000473:pathology*; D055815:Young Adult
keywords: Anatomical connectivity; Cerebellum; Classification; Cortical-limbic network; Diffusion tensor imaging; Temporal lobe epilepsy
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