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Poster

Visualizing global brain networks in the monkey using combined fMRI and electrophysiology

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons84050

Leopold,  D
Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons83787

Augath,  M
Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons84063

Logothetis,  NK
Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Zitation

Leopold, D., Augath, M., & Logothetis, N. (2002). Visualizing global brain networks in the monkey using combined fMRI and electrophysiology. Poster presented at 32nd Annual Meeting of the Society for Neuroscience (Neuroscience 2002), Orlando, FL, USA.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0013-DECF-A
Zusammenfassung
We developed a novel method to visualize neural networks of endogenous activity that contribute to the variability observed in electrophysiological and functional imaging experiments. We compared activity recorded from a single electrode in the visual cortex of anesthetized monkeys with the time course of simultaneously recorded fMRI measurements. The electrophysiological signal we used was the band limited power (BLP) signal of the local field potential (LFP), which we have previously shown to exhibit slow and highly coherent fluctuations over large cortical distances. Whole-brain EPI images were collected in a 4.7 T scanner, while electrical activity was monitored with a single intracortical electrode. The maxima of cross-covariation between the BLP at that electrode and blood oxygen level-dependent (BOLD) signals for each voxel (1x1x2mm) in the imaged volume were used to generate maps of brain regions that were functionally linked with the spontaneous fluctuations on the electrode. We found that electrical activity at a single site was highly correlated with voxels throughout the brain. While covariation magnitude was greatest near the electrode tip, it remained significant even in distant brain regions, with cortical and subcortical sites showing different covariation patterns. Albeit preliminary, these results suggest that the electrophysiologically measured spontaneous activity in the visual cortex may result from large-scale fluctuations in global brain networks.