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/ |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
1-s2.0-S2213158219301093-main.pdf | Fulltext - Published Version | 1.5 MB | Adobe PDF | View/Open |
This item is protected by original copyright |
A file in this item is licensed under a Creative Commons License
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/
If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.