Hemodynamic correlates of EEG: a heuristic
Abstract
In this note we describe a heuristic, starting with a dimensional analysis, which relates hemodynamic changes to the spectral profile of ongoing EEG activity. In brief, this analysis suggests that 'activation', as indexed by increases in hemodynamic signals, should be associated with a loss of power in lower EEG frequencies, relative to higher frequencies. The fact that activation is expressed in terms of frequency (i.e., per second) is consistent with a dimensional analysis in the sense that activations reflect the rate of energy dissipation (per second). In this heuristic, activation causes an acceleration of temporal dynamics leading to (i) increased energy dissipation; (ii) decreased effective membrane time constants; (iii) increased effective coupling among neuronal ensembles; and (iv) a shift in the EEG spectral profile to higher frequencies. These predictions are consistent with empirical observations of how changes in the EEG spectrum are expressed hemodynamically. Furthermore, the heuristic provides a simple measure of neuronal activation based on spectral analyses of EEG.
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fMRI signals scale with the predominant frequency of neuronal activity.
“This is because it is generally assumed that fMRI signals scale with the predominant frequency of neuronal activity (Kilner et al., 2005; Laufs & Duncan 2007; Rosa et al., 2010).”
From Network discovery with DCM (2011) · cites this paper as Kilner et al., 2005
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- Authors
- Kilner, J. M., Mattout, J., Henson, R., & Friston, K. J.
- Affiliations
- National Hospital for Neurology and Neurosurgery (GB)
- Corresponding author
- Kilner, J.M.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2005-10
- Volume
- 28
- Issue
- 1
- Pages
- 280-286
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2153427235
- Cited by
- 206
- References
- 36
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 10 · 2023: 4 · 2022: 7 · 2021: 9 · 2020: 5 · 2019: 7 · 2018: 9 · 2017: 10 · 2016: 9 · 2015: 12 · 2014: 11 · 2013: 16 · 2012: 16
- FWCI
- 5.93
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Wellcome Trust
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Optical Imaging and Spectroscopy Techniques
- Keywords
- neuronal activation, dimensional analysis, energy dissipation, membrane time constant, neuronal ensembles, hemodynamic response
- MeSH terms
- Algorithms, Cerebrovascular Circulation, Electroencephalography, Energy Metabolism, Hemodynamics, Humans, Magnetic Resonance Imaging, Models, Neurological, Oxygen
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