Association of Fatigue and Stress With Gray Matter Volume

Frontiers in Behavioral Neuroscience

Kiyotaka Nemoto¹  Hiroki Oka²  Hiroki Fukuda²  Yoshinori Yamakawa³  Keisuke Kokubun⁴  Yasuyoshi Watanabe⁵ 

[1] Division of Clinical Medicine, Department of Neuropsychiatry, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan;ImPACT Program of Council for Science, Council for Science, Technology and Innovation, Cabinet Office, Government of Japan, Chiyoda, Japan;Institute of Innovative Research, Tokyo Institute of Technology, Meguro, Japan;Office of Society-Academia Collaboration for Innovation, Kyoto University, Kyoto, Japan;RIKEN Center for Life Science Technologies, Yokohama, Japan;

关键词: gray-matter brain healthcare quotient;    magnetic resonance imaging data;    profile of mood states;    perceived stress scale;    chalder fatigue scale;    fatigue;   

DOI  :  10.3389/fnbeh.2018.00154

来源: DOAJ

【 摘 要 】

Stress is associated with a greater risk for various health problems including reduced gray matter volume (GMV) and density in a number of brain regions. Previous studies show that neuroimaging could be a means to objectively evaluate stress. However, to date, no definite neuroimaging-derived measures are available to detect stress. In this research we used the gray-matter brain healthcare quotient (GM-BHQ), an MRI-based quotient for monitoring brain health based on GMV, as an objective scale to measure the association of stress with the whole brain. We recruited 63 healthy adults to acquire structural T1-weighted images and stress levels evaluated using three representative stress scales: the Profile of Mood States (POMS), Perceived Stress Scale (PSS) and Chalder Fatigue Scale (CFS). We found that the GM-BHQ was sensitive to fatigue and the interaction between fatigue and stress.

【 授权许可】

Unknown