Cerebral blood flow and heart rate variability predict fatigue severity in patients with chronic fatigue syndrome

Brain Imaging Behav. 2019 Jun;13(3):789-797. doi: 10.1007/s11682-018-9897-x.

Abstract

Prolonged, disabling fatigue is the hallmark of chronic fatigue syndrome (CFS). Previous neuroimaging studies have provided evidence for nervous system involvement in CFS etiology, including perturbations in brain structure/function. In this arterial spin labeling (ASL) MRI study, we examined variability in cerebral blood flow (CBFV) and heart rate (HRV) in 28 women: 14 with CFS and 14 healthy controls. We hypothesized that CBFV would be reduced in individuals with CFS compared to healthy controls, and that increased CBFV and HRV would be associated with lower levels of fatigue in affected individuals. Our results provided support for these hypotheses. Although no group differences in CBFV or HRV were detected, greater CBFV and more HRV power were both associated with lower fatigue symptom severity in individuals with CFS. Exploratory statistical analyses suggested that protective effects of high CBFV were greatest in individuals with low HRV. We also found novel evidence of bidirectional association between the very high frequency (VHF) band of HRV and CBFV. Taken together, the results of this study suggest that CBFV and HRV are potentially important measures of adaptive capacity in chronic illnesses like CFS. Future studies should address these measures as potential therapeutic targets to improve outcomes and reduce symptom severity in individuals with CFS.

Keywords: Arterial spin labeling; Brain imaging; Cerebral blood flow; Chronic fatigue; Heart rate variability; Regional signal variability.

MeSH terms

  • Adult
  • Blood Pressure / physiology
  • Cerebrovascular Circulation / physiology*
  • Fatigue / physiopathology
  • Fatigue Syndrome, Chronic / physiopathology*
  • Female
  • Heart Rate / physiology*
  • Humans
  • Middle Aged
  • Prognosis
  • Sleep