Article

BOLD-fMRI activity informed by network variation of scalp EEG in juvenile myoclonic epilepsy

Details

Citation

Qin Y, Jiang S, Zhang Q, Dong L, Jia X, He H, Yao Y, Yang H, Zhang T, Luo C & Yao D (2019) BOLD-fMRI activity informed by network variation of scalp EEG in juvenile myoclonic epilepsy. NeuroImage: Clinical, 22, Art. No.: 101759. https://doi.org/10.1016/j.nicl.2019.101759

Abstract
Epilepsy is marked by hypersynchronous bursts of neuronal activity, and seizures can propagate variably to any and all areas, leading to brain network dynamic organization. However, the relationship between the network characteristics of scalp EEG and blood oxygenation level-dependent (BOLD) responses in epilepsy patients is still not well known. In this study, simultaneous EEG and fMRI data were acquired in 18 juvenile myoclonic epilepsy (JME) patients. Then, the adapted directed transfer function (ADTF) values between EEG electrodes were calculated to define the time-varying network. The variation of network information flow within sliding windows was used as a temporal regressor in fMRI analysis to predict the BOLD response. To investigate the EEG-dependent functional coupling among the responding regions, modulatory interactions were analyzed for network variation of scalp EEG and BOLD time courses. The results showed that BOLD activations associated with high network variation were mainly located in the thalamus, cerebellum, precuneus, inferior temporal lobe and sensorimotor-related areas, including the middle cingulate cortex (MCC), supplemental motor area (SMA), and paracentral lobule. BOLD deactivations associated with medium network variation were found in the frontal, parietal, and occipital areas. In addition, modulatory interaction analysis demonstrated predominantly directional negative modulation effects among the thalamus, cerebellum, frontal and sensorimotor-related areas. This study described a novel method to link BOLD response with simultaneous functional network organization of scalp EEG. These findings suggested the validity of predicting epileptic activity using functional connectivity variation between electrodes. The functional coupling among the thalamus, frontal regions, cerebellum and sensorimotor-related regions may be characteristically involved in epilepsy generation and propagation, which provides new insight into the pathophysiological mechanisms and intervene targets for JME.

Keywords
Juvenile myoclonic epilepsy; Simultaneous EEG and fMRI; Network variation; Functional coupling; Modulatory interaction

Journal
NeuroImage: Clinical: Volume 22

StatusPublished
FundersNational Natural Science Foundation of China, National Natural Science Foundation of China, National Natural Science Foundation of China, National Natural Science Foundation of China, The Project of Science and Technology Department of Sichuan Province, The Project of Science and Technology Department of Sichuan Province, Chinese Fundamental Research Funding for Central Universities in UESTC and Chinese Fundamental Research Funding for Central Universities in UESTC
Publication date31/12/2019
Publication date online12/03/2019
Date accepted by journal10/03/2019
URLhttp://hdl.handle.net/1893/30095
PublisherElsevier BV
eISSN2213-1582