Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/30095
Appears in Collections:Psychology Journal Articles
Peer Review Status: Refereed
Title: BOLD-fMRI activity informed by network variation of scalp EEG in juvenile myoclonic epilepsy
Author(s): Qin, Yun
Jiang, Sisi
Zhang, Qiqi
Dong, Li
Jia, Xiaoyan
He, Hui
Yao, Yutong
Yang, Huanghao
Zhang, Tao
Luo, Cheng
Yao, Dezhong
Keywords: Juvenile myoclonic epilepsy
Simultaneous EEG and fMRI
Network variation
Functional coupling
Modulatory interaction
Issue Date: 2019
Date Deposited: 12-Sep-2019
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.
DOI Link: 10.1016/j.nicl.2019.101759
Rights: Copyright 2019 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/).
Licence URL(s): http://creativecommons.org/licenses/by-nc-nd/4.0/

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