Electrophysiological correlates of the brain's intrinsic large-scale functional architecture
Open accessAbstract
Spontaneous fluctuations in the blood-oxygen-level-dependent (BOLD) signals demonstrate consistent temporal correlations within large-scale brain networks associated with different functions. The neurophysiological correlates of this phenomenon remain elusive. Here, we show in humans that the slow cortical potentials recorded by electrocorticography demonstrate a correlation structure similar to that of spontaneous BOLD fluctuations across wakefulness, slow-wave sleep, and rapid-eye-movement sleep. Gamma frequency power also showed a similar correlation structure but only during wakefulness and rapid-eye-movement sleep. Our results provide an important bridge between the large-scale brain networks readily revealed by spontaneous BOLD signals and their underlying neurophysiology.
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Electrophysiological infraslow fluctuations are putatively engendered by a combination of neuronal and glial currents.
“Putatively engendered by a combination of neuronal and glial currents [63, 68, 71–76], eISFs have been shown in both cortical [65, 66, 77] and subcortical [76, 78–82] tissues”
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).”
From Electrophysiological source imaging: A noninvasive window to brain dynamics (2018) · cites this paper as [138]
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- Authors
- He, B. J., Snyder, A. Z., Zempel, J. M., Smyth, M. D., & Raichle, M. E.
- Affiliations
- Departments of *Radiology,
- Neurology,
- Neurosurgery,
- Washington University in St. Louis (US)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2008-10-14
- Volume
- 105
- Issue
- 41
- Pages
- 16039-16044
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC2564983
- OpenAlex
- W2106532504
- Cited by
- 670
- References
- 38
- Citations by year
- 2026: 9 · 2025: 17 · 2024: 35 · 2023: 24 · 2022: 16 · 2021: 37 · 2020: 33 · 2019: 38 · 2018: 49 · 2017: 42 · 2016: 45 · 2015: 48 · 2014: 43 · 2013: 67 · 2012: 56
- FWCI
- 19.12
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (NS06833)
- National Institute of Neurological Disorders and Stroke (P50NS006833, NS 06833)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Sleep and Wakefulness Research
- Keywords
- slow cortical potentials, electrocorticography, gamma power, large-scale brain networks, intrinsic brain activity, slow-wave sleep, REM sleep, wakefulness
- MeSH terms
- Action Potentials, Brain, Brain Mapping, Electrophysiology, Epilepsy, Humans, Magnetic Resonance Imaging, Membrane Potentials, Sleep, Sleep, REM, Wakefulness
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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