Send to

Choose Destination
PLoS One. 2017 Jul 12;12(7):e0180253. doi: 10.1371/journal.pone.0180253. eCollection 2017.

Altered cerebral blood flow velocity features in fibromyalgia patients in resting-state conditions.

Author information

Departamento de Ingeniería Gráfica, Universitat Politècnica de València, Camino de Vera s/n, Valencia, Spain.
Departamento de Neurología, Hospital Universitari i Politècnic La Fe, Valencia, Spain.
Departamento Psicobiología, Facultad de Psicología, Universitat de València, Blasco Ibáñez 21, Valencia, Spain.
Departamento de Personalidad, Evaluación y Tratamientos psicológicos, Universidad de Granada, Granada, Spain.
IUNICS, Universitat Illes Balears, Palma de Mallorca, Spain.


The aim of this study is to characterize in resting-state conditions the cerebral blood flow velocity (CBFV) signals of fibromyalgia patients. The anterior and middle cerebral arteries of both hemispheres from 15 women with fibromyalgia and 15 healthy women were monitored using Transcranial Doppler (TCD) during a 5-minute eyes-closed resting period. Several signal processing methods based on time, information theory, frequency and time-frequency analyses were used in order to extract different features to characterize the CBFV signals in the different vessels. Main results indicated that, in comparison with control subjects, fibromyalgia patients showed a higher complexity of the envelope CBFV and a different distribution of the power spectral density. In addition, it has been observed that complexity and spectral features show correlations with clinical pain parameters and emotional factors. The characterization features were used in a lineal model to discriminate between fibromyalgia patients and healthy controls, providing a high accuracy. These findings indicate that CBFV signals, specifically their complexity and spectral characteristics, contain information that may be relevant for the assessment of fibromyalgia patients in resting-state conditions.

[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Public Library of Science Icon for PubMed Central
Loading ...
Support Center