TY - JOUR
T1 - Association of fatigue and stress with gray matter volume
AU - Kokubun, Keisuke
AU - Nemoto, Kiyotaka
AU - Oka, Hiroki
AU - Fukuda, Hiroki
AU - Yamakawa, Yoshinori
AU - Watanabe, Yasuyoshi
N1 - Funding Information:
1Office of Society-Academia Collaboration for Innovation, Kyoto University, Kyoto, Japan, 2Division of Clinical Medicine, Department of Neuropsychiatry, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan, 3ImPACT Program of Council for Science, Council for Science, Technology and Innovation, Cabinet Office, Government of Japan, Chiyoda, Japan, 4Institute of Innovative Research, Tokyo Institute of Technology, Meguro, Japan, 5RIKEN Center for Life Science Technologies, Yokohama, Japan
Funding Information:
This work was funded by ImPACT Program of Council for Science, Technology and Innovation (Cabinet Office, Government of Japan) and supported by JSPS KAKENHI Grant Number JP18K18164.
Publisher Copyright:
© 2018 Pettersson, Amundin and Laska.
PY - 2018/7/24
Y1 - 2018/7/24
N2 - 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.
AB - 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.
KW - Chalder fatigue scale
KW - Fatigue
KW - Gray-matter brain healthcare quotient
KW - Magnetic resonance imaging data
KW - Perceived stress scale
KW - Profile of mood states
KW - Stress
UR - http://www.scopus.com/inward/record.url?scp=85053349496&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85053349496&partnerID=8YFLogxK
U2 - 10.3389/fnbeh.2018.00154
DO - 10.3389/fnbeh.2018.00154
M3 - Article
AN - SCOPUS:85053349496
VL - 12
JO - Frontiers in Behavioral Neuroscience
JF - Frontiers in Behavioral Neuroscience
SN - 1662-5153
M1 - 154
ER -