Automated detection of MRI-negative temporal lobe epilepsy with ROI-based morphometric features and machine learning

Automated detection of MRI-negative temporal lobe epilepsy with ROI-based morphometric features and machine learning

ObjectiveTemporal lobe epilepsy (TLE) predominantly originates from the anteromedial basal region of the temporal lobe, and its prognosis is generally favorable following surgical intervention. However, TLE often appears negative in magnetic resonance imaging (MRI), making it difficult to quantitati...

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Bibliographic Details
Main Authors: Lin Yang, Bo Peng, Wei Gao, Rixi A, Yan Liu, Jiawei Liang, Mo Zhu, Haiyang Hu, Zuhong Lu, Chunying Pang, Yakang Dai, Yu Sun
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-01-01
Series:Frontiers in Neurology
Subjects:
magnetic resonance imaging
temporal lobe epilepsy
gray matter volume
cortical thickness
cortical surface area
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2024.1323623/full

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2024.1323623/full

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