Decreased Intrinsic Neural Timescales in Mesial Temporal Lobe Epilepsy

• Published in: Frontiers in human neuroscience Vol. 15; p. 772365
• Main Authors: Wang, Kefan, Zhang, Xiaonan, Song, Chengru, Ma, Keran, Bai, Man, Zheng, Ruiping, Wei, Yarui, Chen, Jingli, Cheng, Jingliang, Zhang, Yong, Han, Shaoqiang
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Research Foundation 08-12-2021; Frontiers Media S.A
• Subjects: Autism; Brain; Brain mapping; Cerebellum; Cognitive ability; cognitive impairment and emotional comorbidities; Electroencephalography; Epilepsy; fMRI; Functional magnetic resonance imaging; Information processing; intrinsic neural timescale; mesial temporal lobe epilepsy; Neuroscience; Statistical analysis; Temporal lobe; Variance analysis; information processing; fMRI; intrinsic neural timescale; cognitive impairment and emotional comorbidities; mesial temporal lobe epilepsy
• ISSN: 1662-5161; 1662-5161
• DOI: 10.3389/fnhum.2021.772365

It is well established that epilepsy is characterized by the destruction of the information capacity of brain network and the interference with information processing in regions outside the epileptogenic focus. However, the potential mechanism remains poorly understood. In the current study, we applied a recently proposed approach on the basis of resting-state fMRI data to measure altered local neural dynamics in mesial temporal lobe epilepsy (mTLE), which represents how long neural information is stored in a local brain area and reflect an ability of information integration. Using resting-state-fMRI data recorded from 36 subjects with mTLE and 36 healthy controls, we calculated the intrinsic neural timescales (INT) of neural signals by summing the positive magnitude of the autocorrelation of the resting-state brain activity. Compared to healthy controls, the INT values were significantly lower in patients in the right orbitofrontal cortices, right insula, and right posterior lobe of cerebellum. Whereas, we observed no statistically significant changes between patients with long- and short-term epilepsy duration or between left-mTLE and right-mTLE. Our study provides distinct insight into the brain abnormalities of mTLE from the perspective of the dynamics of the brain activity, highlighting the significant role of intrinsic timescale in understanding neurophysiological mechanisms. And we postulate that altered intrinsic timescales of neural signals in specific cortical brain areas may be the neurodynamic basis of cognitive impairment and emotional comorbidities in mTLE patients.