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

The DOI matches its Crossref record; 60 of the 62 references it cites were found in a registry or an index.

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.

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2 of the 62 references couldn’t be matched to a known paper.

Research works printed but not linked: 11

  1. Goldensohn, E.S. Neurophysiological substrates of EEG activity. In: D.W. Klass and D.D. Daly (Eds.), Current Practice of Clinical Electroencephalography. New York: Raven Press, 1979: 421-439.
  2. Ingber, L. Statistical mechanics of multiple scales of neocortical interactions. In: P.L. Nunez (Author), Neocortical Dynamics and Human EEG Rhythms, New York: Oxford University Press, 1995: 628-681.
  3. Malmuvino, J. and Plonsey, R. Bioelectromagetism. New York: Oxford University Press, 1995.
  4. Nunez, P.L. Localization of brain activity with EEG. In: S. Sato (Ed.), Advances in Neurology, Magnetoencephalography, Raven Press, New York, 1990, Vol. 54: 39-65.
  5. Nunez, P.L. Neocortical Dynamics and Human EEG Rhythms. New York: Oxford University Press, 1995.
  6. Plonsey, R. Bioelectric Phenomena. New York: McGraw-Hill, 1969.
  7. Silberstein, R.B. Steady-state visually evoked potentials, brain resonances, and cognitive processes. In: P.L. Nunez (Author), Neocortical Dynamics and Human EEG Rhythms. Oxford University Press, 1995a: 272-303.
  8. Silberstein, R.B. Neuromodulation of neocortical dynamics. In: P.L. Nunez (Author), Neocortical Dynamics and Human EEG Rhythms. Oxford University Press, 1995b: 591-627.
  9. Silberstein, R.B. The steady state visually evoked potential, neocortical dynamics and cognitive function. Brain Topography Today. In: Y. Koga, K. Nagata and H. Hirata (Eds.), Amsterdam: Elsevier Science, 1997: 34-38.
  10. Szentagothai, J. The neural network of the cerebral cortex: A functional interpretation. Proceedings of the Royal Society of London, 1978, B201: 219-248.
  11. Van Burik, M.J. Physical Aspects of EEG, Proefschrift Universiteit Twente, Enschede, the Netherlands, 1999.

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Metadata

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
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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