Cerebral blood flow variability in fibromyalgia syndrome: Relationships with emotional, clinical and functional variables
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Publication date
2018
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PLOS ONE
Citation
Montoro CI, Duschek S, Schuepbach D, Gandarillas M, Reyes del Paso GA (2018) Cerebral blood flow variability in fibromyalgia syndrome: Relationships with emotional, clinical and functional variables. PLoS ONE 13(9): e0204267. https://doi.org/10.1371/journal.pone.0204267
Abstract
Objective
This study analyzed variability in cerebral blood flow velocity (CBFV) and its association
with emotional, clinical and functional variables and medication use in fibromyalgia syndrome
(FMS).
Methods
Using transcranial Doppler sonography, CBFV were bilaterally recorded in the anterior
(ACA) and middle (MCA) cerebral arteries of 44 FMS patients and 31 healthy individuals
during a 5-min resting period. Participants also completed questionnaires assessing pain,
fatigue, insomnia, anxiety, depression and health-related quality of life (HRQoL).
Results
Fast Fourier transformation revealed a spectral profile with four components: (1) a first very
low frequency (VLF) component with the highest amplitude at 0.0024 Hz; (2) a second VLF
component around 0.01-to-0.025 Hz; (3) a low frequency (LF) component from 0.075-to-
0.11 Hz; and (4) a high frequency (HF) component with the lowest amplitude from 0.25-to-
0.35 Hz. Compared to controls, FMS patients exhibited lower LF and HF CBFV variability in
the MCAs (p < .005) and right ACA (p = .03), but higher variability at the first right MCA (p =
.04) and left ACA (p = .005) VLF components. Emotional, clinical and functional variables
were inversely related to LF and HF CBFV variability (r -.24, p .05). However, associations
for the first VLF component were positive (r .28, p .05). While patients medication
use was associated with lower CBFV variability, comorbid depression and anxiety disorders
were unrelated to variability.
Conclusions
Lower CBFV variability in the LF and HF ranges were observed in FMS, suggesting
impaired coordination of cerebral regulatory systems. CBFV variability was differentially
associated with clinical variables as a function of time-scale, with short-term variability being
related to better clinical outcomes. CBFV variability analysis may be a promising tool to
characterize FMS pathology and it impact on facets of HRQoL.













