Cited by 939Functional Brain Connectivity StudiesNeural dynamics and brain functionAdvanced MRI Techniques and Applications

Neural basis of global resting-state fMRI activity

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Schölvinck, Marieke L., Maier, Alexander, Ye, Frank Q., Duyn, Jeff H., Leopold, David A.·2010·Proceedings of the National Academy of Sciences

Abstract

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.

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  • Such improvements likely reflect the reduction in shared variance amongst regions due to noise and a true global signal.

    “Such improvements, also consistent with other reports (Fox et al., 2009, Keller et al., 2013), likely reflect the reduction in shared variance amongst regions due to noise and a true global signal (Scholvinck et al., 2010) – an important consideration for the current report.”
  • Without sensory input, spontaneous BOLD fluctuations still correlate with underlying synaptic activity measured by LFP, ECoG, and EEG.

    “In the absence of any sensory input, spontaneous BOLD fluctuations are still correlated with underlying synaptic activity observed with LFP (136, 137), ECoG (138), and EEG (139, 140).”

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Authors
Schölvinck, M. L., Maier, A., Ye, F. Q., Duyn, J. H., & Leopold, D. A.
Affiliations
National Institutes of Health (US)
Corresponding author
Leopold, David A.
Venue
Proceedings of the National Academy of Sciences
Published
2010-05-03
Volume
107
Issue
22
Pages
10238-10243
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1987777969
Cited by
939
References
58
Citations by year
2026: 28 · 2025: 43 · 2024: 57 · 2023: 43 · 2022: 56 · 2021: 68 · 2020: 65 · 2019: 62 · 2018: 77 · 2017: 70 · 2016: 71 · 2015: 76 · 2014: 61 · 2013: 73 · 2012: 45
FWCI
30.84
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • UCL Discovery (University College London) (submittedVersion)
Funders
  • Wellcome Trust
  • National Institute of Mental Health
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Keywords
resting-state fMRI, local field potentials, hemodynamic fluctuations, neuronal activity, global signal, gamma oscillations, cortical synchronization, behavioral state, eyes closed, monkey cortex
MeSH terms
Animals, Cerebral Cortex, Female, Humans, Macaca mulatta, Magnetic Resonance Imaging, Rest, Signal Processing, Computer-Assisted, Echo-Planar Imaging, Electrophysiological Phenomena

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