Advertisement

Time-Frequency Characterization of Cerebral Hemodynamics of Migraine Sufferers as Assessed by NIRS Signals

  • Filippo Molinari
  • Samanta Rosati
  • William Liboni
  • Emanuela Negri
  • Ornella Mana
  • Gianni Allais
  • Chiara Benedetto
Open Access
Research Article
Part of the following topical collections:
  1. Applications of Time-Frequency Signal Processing in Wireless Communications and Bioengineering

Abstract

Near-infrared spectroscopy (NIRS) is a noninvasive system for the real-time monitoring of the concentration of oxygenated ( Open image in new window ) and reduced (HHb) hemoglobin in the brain cortex. Open image in new window and HHb concentrations vary in response to cerebral autoregulation. Sixty-eight women (14 migraineurs without aura, 49 migraineurs with aura, and 5 controls) performed breath-holding and hyperventilation during NIRS recordings. Signals were processed using the Choi-Williams time-frequency transform in order to measure the power variation of the very-low frequencies (VLF: 20–40 mHz) and of the low frequencies (LF: 40–140 mHz). Results showed that migraineurs without aura present different LF and VLF power levels than controls and migraineurs with aura. The accurate power measurement of the time-frequency analysis allowed for the discrimination of the subjects' hemodynamic patterns. The time-frequency analysis of NIRS signals can be used in clinical practice to assess cerebral hemodynamics.

Keywords

Migraine Information Technology Quantum Information Full Article Publisher Note 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Publisher note

To access the full article, please see PDF.

Copyright information

© Filippo Molinari et al. 2010

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Authors and Affiliations

  • Filippo Molinari
    • 1
  • Samanta Rosati
    • 1
  • William Liboni
    • 2
  • Emanuela Negri
    • 2
  • Ornella Mana
    • 2
  • Gianni Allais
    • 3
  • Chiara Benedetto
    • 3
  1. 1.Biolab, Department of ElectronicsPolytechnic of TurinTorinoItaly
  2. 2.Department of NeuroscienceGradenigo HospitalTurinItaly
  3. 3.Women's Headache Center, Department of Gynecology and ObstetricsUniversity of TorinoTorinoItaly

Personalised recommendations