TY - GEN
T1 - Graph-based Brain Network Analysis in Epilepsy
T2 - 9th International IEEE EMBS Conference on Neural Engineering, NER 2019
AU - Hu, Yuejing
AU - Zhang, Qizhong
AU - Li, Rihui
AU - Potter, Thomas
AU - Zhang, Yingchun
N1 - Funding Information:
Research supported by Zhejiang Provincial Natural Science Foundation (grant number Y17F030080 subject code F030706) and the University of Houston.
Publisher Copyright:
© 2019 IEEE.
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2019/5/16
Y1 - 2019/5/16
N2 - In order to investigate the alterations of brain network in children with epilepsy during the interictal and ictal periods, partial directed coherence (PDC) was employed as a measure of causality to analyze 22 electroencephalography (EEG) datasets recorded from 10 focal seizure children in this study. Functional brain network during interictal and ictal periods were constructed based on the computed PDC values, from which two graph-based measures, including the degree and clustering coefficient were extracted to assess the functional connectivity in seizure-linked network. Results showed that, compared to interictal period, the regional degree at the center lobe in delta band during the ictal period was significantly reduced. On the contrary, the clustering coefficients in delta band during the ictal period were significantly increased in the frontal, parietal, and temporal lobes. Our findings therefore suggest that ictal state may affect the visual, physical, mental, auditory, and other functions in epileptic children, providing a new perspective to explore the brain network alterations in children with epilepsy.
AB - In order to investigate the alterations of brain network in children with epilepsy during the interictal and ictal periods, partial directed coherence (PDC) was employed as a measure of causality to analyze 22 electroencephalography (EEG) datasets recorded from 10 focal seizure children in this study. Functional brain network during interictal and ictal periods were constructed based on the computed PDC values, from which two graph-based measures, including the degree and clustering coefficient were extracted to assess the functional connectivity in seizure-linked network. Results showed that, compared to interictal period, the regional degree at the center lobe in delta band during the ictal period was significantly reduced. On the contrary, the clustering coefficients in delta band during the ictal period were significantly increased in the frontal, parietal, and temporal lobes. Our findings therefore suggest that ictal state may affect the visual, physical, mental, auditory, and other functions in epileptic children, providing a new perspective to explore the brain network alterations in children with epilepsy.
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U2 - 10.1109/NER.2019.8716929
DO - 10.1109/NER.2019.8716929
M3 - Conference contribution
AN - SCOPUS:85066761608
T3 - International IEEE/EMBS Conference on Neural Engineering, NER
SP - 130
EP - 133
BT - 9th International IEEE EMBS Conference on Neural Engineering, NER 2019
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 20 March 2019 through 23 March 2019
ER -