Functional coupling of simultaneous electrical and metabolic activity in the human brain
Open accessAbstract
The relationships between brain electrical and metabolic activity are being uncovered currently in animal models using invasive methods; however, in the human brain this relationship remains not well understood. In particular, the relationship between noninvasive measurements of electrical activity and metabolism remains largely undefined. To understand better these relations, cerebral activity was measured simultaneously with electroencephalography (EEG) and positron emission tomography using [18 f]‐fluoro‐2‐deoxy‐D‐glucose (PET‐FDG) in 12 normal human subjects during rest. Intracerebral distributions of current density were estimated, yielding tomographic maps for seven standard EEG frequency bands. The PET and EEG data were registered to the same space and voxel dimensions, and correlational maps were created on a voxel‐by‐voxel basis across all subjects. For each band, significant positive and negative correlations were found that are generally consistent with extant understanding of EEG band power function. With increasing EEG frequency, there was an increase in the number of positively correlated voxels, whereas the lower α band (8.5–10.0 Hz) was associated with the highest number of negative correlations. This work presents a method for comparing EEG signals with other more traditionally tomographic functional imaging data on a 3‐D basis. This method will be useful in the future when it is applied to functional imaging methods with faster time resolution, such as short half‐life PET blood flow tracers and functional magnetic resonance imaging. Hum. Brain Mapping 21:257–270, 2004. © 2004 Wiley‐Liss, Inc.
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A combined EEG/FDG-PET study (Oakes et al, 2004) revealed that, of all the classic EEG bands, positive correlations between LORETA estimates and resting brain metabolic activity were strongest for gamma.
“a combined EEG/FDG-PET study (Oakes et al, 2004) revealed that, of all the classic EEG bands, positive correlations between LORETA estimates and resting brain metabolic activity were strongest for gamma.”
From Neural Correlates of Three Promising Endophenotypes of Depression: Evidence from the EMBARC Study (2016) · cites this paper as Oakes et al, 2004
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Self-citation
- Authors
- Oakes, T. R., Pizzagalli, D. A., Hendrick, A. M., Horras, K. A., Larson, C. L., Abercrombie, H. C., Schaefer, S. M., Koger, J. V., & Davidson, R. J.
- Affiliations
- University of Wisconsin–Madison (US)
- Harvard University (US)
- ORCID
- Venue
- Human Brain Mapping
- Publisher
- Wiley
- Published
- 2004-02-17
- Volume
- 21
- Issue
- 4
- Pages
- 257-270
- ISSN
- 1065-9471 (ISSN-L)
- 1097-0193
- PMC
- PMC6871925
- OpenAlex
- W2148301868
- Cited by
- 235
- References
- 72
- Citations by year
- 2026: 3 · 2025: 9 · 2024: 12 · 2023: 5 · 2022: 9 · 2021: 19 · 2020: 8 · 2019: 4 · 2018: 6 · 2017: 10 · 2016: 12 · 2015: 13 · 2014: 10 · 2013: 15 · 2012: 15
- FWCI
- 5.04
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Human Brain Mapping (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Research Foundation
- National Institutes of Health (5r01mh040747-14, 5k05mh000875-10)
- National Institute of Mental Health (P50-MH 52354, F31-MH12085, P50MH052354, MH40747, MH 43454, R37MH043454, K05-MH 00875, F31MH012085, R01MH043454)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- brain electrical activity, brain metabolism, FDG-PET, EEG frequency bands, alpha band, resting state, non-invasive brain imaging, EEG band power
- MeSH terms
- Adult, Brain, Brain Mapping, Electroencephalography, Energy Metabolism, Female, Glucose, Humans, Male, Middle Aged, Tomography, Emission-Computed, Fluorodeoxyglucose F18
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