Cited by 307EEG and Brain-Computer InterfacesNeural dynamics and brain functionOptical Imaging and Spectroscopy Techniques

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On the Relationship of Synaptic Activity to Macroscopic Measurements: Does Co-Registration of EEG with fMRI Make Sense?

Nunez, Paul L., Silberstein, Richard B.·2000·Brain Topography

DOI 10.1023/a:1026683200895

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Abstract

A two-scale theoretical description outlines relationships between brain current sources and the resulting extracranial electric field, recorded as EEG. Finding unknown sources of EEG, the so-called "inverse problem", is discussed in general terms, with emphasis on the fundamental non-uniqueness of inverse solutions. Hemodynamic signatures, measured with fMRI, are expressed as voxel integrals to facilitate comparisons with EEG. Two generally distinct cell groups (1 and 2), generating EEG and fMRI signals respectively, are embedded within the much broader class of synaptic action fields. Cell groups 1 and 2 may or may not overlap in specific experiments. Implications of this incomplete overlap for co-registration studies are considered. Each experimental measure of brain function is generally sensitive to a different kind of source activity and to different spatial and temporal scales. Failure to appreciate such distinctions can exacerbate conflicting views of brain function that emphasize either global integration or functional localization.

Integrity signals

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Etude des mécanismes fonctionnels de la préparation du mouvement : inférences à partir des potentiels électrophysiologiques de surface, intracorticaux et des rythmes cérébraux dans une tâche de saisie manuelle
Zaepffel, M. (2013) · theses.fr (ABES) · doi:10.70675/6fedda7bzc5e8z4f02z9fb8zde21c7d45664
EEG-fMRI and dMRI data fusion in healthy subjects and temporal lobe epilepsy : towards a trimodal structure-function network characterization of the human brain
Wirsich, J. (2016) · theses.fr (ABES) · doi:10.70675/b8cad511z7a26z42b3zb202z31fed5288c5e

Authors: Nunez, P. L., & Silberstein, R. B.
Affiliations: Tulane University (US)
Corresponding author: Nunez, Paul L.
ORCID: Nunez, Paul L.
Venue: Brain Topography
Publisher: Springer Science and Business Media LLC
Published: 2000-12
Volume: 13
Issue: 2
Pages: 79-96
ISSN: 0896-0267 (ISSN-L)
1573-6792
DOI: 10.1023/a:1026683200895
OpenAlex: W2146533369
Cited by: 307
References: 62
Citations by year: 2026: 2 · 2025: 5 · 2024: 5 · 2023: 3 · 2022: 6 · 2021: 8 · 2020: 8 · 2019: 4 · 2018: 12 · 2017: 10 · 2016: 12 · 2015: 9 · 2014: 14 · 2013: 17 · 2012: 18
FWCI: 4.28
Type: journal article
Language: en
Open access: closed
Licence: www.springernature.com/gp/researchers/text-and-data-mining (tdm)
www.springernature.com/gp/researchers/text-and-data-mining (vor)
Locations: Brain Topography (publishedVersion)
PubMed (publishedVersion)
Swinburne figshare (Swinburne University of Technology) (submittedVersion)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Optical Imaging and Spectroscopy Techniques
Keywords: EEG inverse problem
MeSH terms: Brain, Electroencephalography, Humans, Magnetic Resonance Imaging, Models, Neurological, Synapses, Tomography, Emission-Computed, Magnetoencephalography

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On the Relationship of Synaptic Activity to Macroscopic Measurements: Does Co-Registration of EEG with fMRI Make Sense?

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