%0 Journal Article
%A Montoro, Casandra I.
%A Duschek, Stefan
%A Schuepbach, Daniel
%A Reyes del Paso, Gustavo A.
%A Gandarillas Solinis, Miguel Ángel
%T Cerebral blood flow variability in fibromyalgia syndrome: Relationships with emotional, clinical and functional variables
%D 2018
%@ 1932-6203
%U https://hdl.handle.net/20.500.14352/95278
%X ObjectiveThis study analyzed variability in cerebral blood flow velocity (CBFV) and its associationwith emotional, clinical and functional variables and medication use in fibromyalgia syndrome(FMS).MethodsUsing transcranial Doppler sonography, CBFV were bilaterally recorded in the anterior(ACA) and middle (MCA) cerebral arteries of 44 FMS patients and 31 healthy individualsduring a 5-min resting period. Participants also completed questionnaires assessing pain,fatigue, insomnia, anxiety, depression and health-related quality of life (HRQoL).ResultsFast Fourier transformation revealed a spectral profile with four components: (1) a first verylow frequency (VLF) component with the highest amplitude at 0.0024 Hz; (2) a second VLFcomponent 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 inthe 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 variableswere inversely related to LF and HF CBFV variability (r -.24, p .05). However, associationsfor the first VLF component were positive (r .28, p .05). While patients medicationuse was associated with lower CBFV variability, comorbid depression and anxiety disorderswere unrelated to variability.ConclusionsLower CBFV variability in the LF and HF ranges were observed in FMS, suggestingimpaired coordination of cerebral regulatory systems. CBFV variability was differentiallyassociated with clinical variables as a function of time-scale, with short-term variability beingrelated to better clinical outcomes. CBFV variability analysis may be a promising tool tocharacterize FMS pathology and it impact on facets of HRQoL.
%~