Stimulus-induced dissociation of neuronal firing rates and local field potential gamma power and its relationship to the blood oxygen level-dependent signal in macaque primary visual cortex

• Published in: The European journal of neuroscience Vol. 34; no. 11; pp. 1857 - 1870
• Main Authors: Bartolo, M. J., Gieselmann, M. A., Vuksanovic, V., Hunter, D., Sun, L., Chen, X., Delicato, L. S., Thiele, A.
• Format: Journal Article
• Language: English
• Published: Oxford, UK Blackwell Publishing Ltd 01.12.2011
• Subjects: BOLD; Cognitive Neuroscience; cross-orientation inhibition; fMRI; LFP; spiking
• ISSN: 0953-816X; 1460-9568
• DOI: 10.1111/j.1460-9568.2011.07877.x

The functional magnetic resonance imaging (fMRI) blood oxygenation level‐dependent (BOLD) signal is regularly used to assign neuronal activity to cognitive function. Recent analyses have shown that the local field potential (LFP) gamma power is a better predictor of the fMRI BOLD signal than spiking activity. However, LFP gamma power and spiking activity are usually correlated, clouding the analysis of the neural basis of the BOLD signal. We show that changes in LFP gamma power and spiking activity in the primary visual cortex (V1) of the awake primate can be dissociated by using grating and plaid pattern stimuli, which differentially engage surround suppression and cross‐orientation inhibition/facilitation within and between cortical columns. Grating presentation yielded substantial V1 LFP gamma frequency oscillations and significant multi‐unit activity. Plaid pattern presentation significantly reduced the LFP gamma power while increasing population multi‐unit activity. The fMRI BOLD activity followed the LFP gamma power changes, not the multi‐unit activity. Inference of neuronal activity from the fMRI BOLD signal thus requires detailed a priori knowledge of how different stimuli or tasks activate the cortical network. The functional magnetic resonance imaging (fMRI) blood oxygenation level‐dependent (BOLD) signal is regularly used to assign neuronal activity to cognitive function. Recent analyses have shown that the local field potential (LFP) gamma power is a better predictor of the fMRI BOLD signal than spiking activity.