Neural basis of global resting-state fMRI activity

Functional MRI (fMRI) has uncovered widespread hemodynamic fluctuations in the brain during rest. Recent electroencephalographic work in humans and microelectrode recordings in anesthetized monkeys have shown this activity to be correlated with slow changes in neural activity. Here we report that th...

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Bibliographic Details
Published in:Proceedings of the National Academy of Sciences - PNAS 2010-06, Vol.107 (22), p.10238-10243
Main Authors: Schölvinck, Marieke L, Maier, Alexander, Ye, Frank Q, Duyn, Jeff H, Leopold, David A
Format: Article
Language:English
Subjects:
Animals
Biological Sciences
Brain
Cerebral cortex
Cerebral Cortex - blood supply
Cerebral Cortex - physiology
Connectivity
Correlation analysis
Correlations
Echo-Planar Imaging
Electrodes
Electroencephalography
Electrophysiological Phenomena
Electrophysiology
Female
Humans
Imaging
Macaca mulatta - physiology
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Magnetic Resonance Imaging - statistics & numerical data
Monkeys & apes
Neurology
Neurons
Neuroscience
NMR
Nuclear magnetic resonance
Rest - physiology
Signal Processing, Computer-Assisted
Visual cortex
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Summary:Functional MRI (fMRI) has uncovered widespread hemodynamic fluctuations in the brain during rest. Recent electroencephalographic work in humans and microelectrode recordings in anesthetized monkeys have shown this activity to be correlated with slow changes in neural activity. Here we report that the spontaneous fluctuations in the local field potential (LFP) measured from a single cortical site in monkeys at rest exhibit widespread, positive correlations with fMRI signals over nearly the entire cerebral cortex. This correlation was especially consistent in a band of upper gamma-range frequencies (40-80 Hz), for which the hemodynamic signal lagged the neural signal by 6-8 s. A strong, positive correlation was also observed in a band of lower frequencies (2-15 Hz), albeit with a lag closer to zero. The global pattern of correlation with spontaneous fMRI fluctuations was similar whether the LFP signal was measured in occipital, parietal, or frontal electrodes. This coupling was, however, dependent on the monkey's behavioral state, being stronger and anticipatory when the animals' eyes were closed. These results indicate that the often discarded global component of fMRI fluctuations measured during the resting state is tightly coupled with underlying neural activity.
ISSN:0027-8424
1091-6490
DOI:10.1073/pnas.0913110107