Using co-variations in the Hb signal to detect visual activation: A near infrared spectroscopic imaging study

Glenn R. Wylie, Harry L. Graber, Gerald T. Voelbel, Alexander D. Kohl, John DeLuca, Yaling Pei, Yong Xu, Randall L. Barbour

Research output: Contribution to journalArticle

Abstract

The premise of this report is that functional Near Infrared Spectroscopy (fNIRS) imaging data contain valuable physiological information that can be extracted by using analysis techniques that simultaneously consider the components of the measured hemodynamic response [i.e., levels of oxygenated, deoxygenated and total hemoglobin (oxyHb, deoxyHb and totalHb, respectively)]. We present an algorithm for examining the spatiotemporal co-variations among the Hb components, and apply it to the data obtained from a demonstrational study that employed a well-established visual stimulation paradigm: a contrast-reversing checkerboard. Our results indicate that the proposed method can identify regions of tissue that participate in the hemodynamic response to neuronal activation, but are distinct from the areas identified by conventional analyses of the oxyHb, deoxyHb and totalHb data. A discussion is provided that compares these findings to other recent studies using fNIRS techniques.

Original languageEnglish (US)
Pages (from-to)473-481
Number of pages9
JournalNeuroImage
Volume47
Issue number2
DOIs
StatePublished - Aug 15 2009

Keywords

  • functional Near Infrared Spectroscopy
  • fNIRS
  • neuronal activation
  • hemodynamic response
  • visual activation

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Neurology

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