Evaluation of coupling between optical intrinsic signals and neuronal activity in rat somatosensory cortex

Sameer Sheth, Masahito Nemoto, Michael Guiou, Melissa Walker, Nader Pouratian, Arthur W. Toga

Research output: Contribution to journalArticlepeer-review

117 Scopus citations

Abstract

We investigated the coupling between perfusion-related brain imaging signals and evoked neuronal activity using optical imaging of intrinsic signals (OIS) at 570 and 610 nm. OIS at 570 nm reflects changes in cerebral blood volume (CBV), and the 610 nm response is related to hemoglobin oxygenation changes. We assessed the degree to which these components of the hemodynamic response were coupled to neuronal activity in rat barrel, hindpaw, and forepaw somatosensory cortex by simultaneously recording extracellular evoked field potentials (EPs) and OIS while varying stimulation frequency. In all stimulation paradigms, 10 Hz stimulation evoked the largest optical and electrophysiological responses. Across all animals, the 610 late phase and 570 responses correlated linearly with ΣEP (P < 0.05) during both whisker deflection and electrical hindpaw stimulation, but the 610 early phase did not (whisker P = 0.27, hindpaw P = 0.28). The signal-to-noise ratio (SNR) of the 610 early phase (whisker 3.1, hindpaw 5.3) was much less than that for the late phase (whisker 14, hindpaw 51) and 570 response (whisker 11, hindpaw 46). During forepaw stimulation, however, the 610 early phase had a SNR (17) higher than that during hindpaw stimulation and correlated well with neuronal activity (P < 0.05). We conclude that the early deoxygenation change does not correlate consistently with neuronal activity, possibly because of its low SNR. The robust CBV-related response, however, has a high SNR and correlates well with evoked cortical activity.

Original languageEnglish (US)
Pages (from-to)884-894
Number of pages11
JournalNeuroImage
Volume19
Issue number3
DOIs
StatePublished - Jul 1 2003
Externally publishedYes

ASJC Scopus subject areas

  • Neurology
  • Cognitive Neuroscience

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