TY - GEN
T1 - Reorganization of Temporal Brain Network Underpins Accumulative Nature of Mental Fatigue
AU - Gao, Lingyun
AU - Bezerianos, Anastasios
AU - Thakor, Nitish
AU - Li, Jinsong
AU - Sun, Yu
N1 - Funding Information:
ACKNOWLEDGMENT The authors thank the National University of Singapore for supporting the Cognitive Engineering Group at the Singapore Institute for Neurotechnology (Grant no. R-719-001-102-232). The authors also acknowledge the assistance of Tay Wei Zheng, Zhuo Wang, and Kianfoong Wong for data collection.
Funding Information:
*Research supported by the National Natural Science Foundation of China (Grant no. 81801785), „Hundred Talents Program‟ of Zhejiang University and the Fundamental Research Funds for the Central Universities (Grant no. 2018QNA5017).
Publisher Copyright:
© 2019 IEEE.
PY - 2019/5/16
Y1 - 2019/5/16
N2 - Mental fatigue is a serious problem in contemporary society, which affects personal productivity, safety in life and mental health, and it has become a convergent research topic in the nascent field of neuro-ergonomics. However, we still lack a clear understanding of the neural mechanism of mental fatigue, which contradicts the realistic demands. In this study, considering the dynamic accumulation of mental fatigue, temporal brain networks were estimated from 20 participants based on functional images. First, the dynamic connection network was constructed through functional imaging data in a sustained visual attention task of 32.6 minutes. Quantitative analysis of the dynamic functional connectivity (FC) was then performed in the 3D spatiotemporal architecture using our recently introduced temporal efficiency method. We found that the temporal global efficiency was decreased with the increase of mental fatigue, suggesting a significantly disintegrated spatiotemporal topology of dynamic FC underpinning mental fatigue. The finding therefore expands the research of related static brain networks and provides new evidence for the resource hypothesis of mental fatigue.
AB - Mental fatigue is a serious problem in contemporary society, which affects personal productivity, safety in life and mental health, and it has become a convergent research topic in the nascent field of neuro-ergonomics. However, we still lack a clear understanding of the neural mechanism of mental fatigue, which contradicts the realistic demands. In this study, considering the dynamic accumulation of mental fatigue, temporal brain networks were estimated from 20 participants based on functional images. First, the dynamic connection network was constructed through functional imaging data in a sustained visual attention task of 32.6 minutes. Quantitative analysis of the dynamic functional connectivity (FC) was then performed in the 3D spatiotemporal architecture using our recently introduced temporal efficiency method. We found that the temporal global efficiency was decreased with the increase of mental fatigue, suggesting a significantly disintegrated spatiotemporal topology of dynamic FC underpinning mental fatigue. The finding therefore expands the research of related static brain networks and provides new evidence for the resource hypothesis of mental fatigue.
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U2 - 10.1109/NER.2019.8717145
DO - 10.1109/NER.2019.8717145
M3 - Conference contribution
AN - SCOPUS:85066752488
T3 - International IEEE/EMBS Conference on Neural Engineering, NER
SP - 494
EP - 497
BT - 9th International IEEE EMBS Conference on Neural Engineering, NER 2019
PB - IEEE Computer Society
T2 - 9th International IEEE EMBS Conference on Neural Engineering, NER 2019
Y2 - 20 March 2019 through 23 March 2019
ER -