Association of fatigue and stress with gray matter volume

Keisuke Kokubun, Kiyotaka Nemoto, Hiroki Oka, Hiroki Fukuda, Yoshinori Yamakawa, Yasuyoshi Watanabe

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number154
JournalFrontiers in Behavioral Neuroscience
Volume12
DOIs
Publication statusPublished - 2018 Jul 24
Externally publishedYes

Keywords

  • Chalder fatigue scale
  • Fatigue
  • Gray-matter brain healthcare quotient
  • Magnetic resonance imaging data
  • Perceived stress scale
  • Profile of mood states
  • Stress

ASJC Scopus subject areas

  • Neuropsychology and Physiological Psychology
  • Cognitive Neuroscience
  • Behavioral Neuroscience

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