Impact of Brain Surface Boundary Conditions on Electrophysiology and Implications for Electrocorticography.

biophysics device fabrication electrocorticography (ECoG) electrophysiology neuroscience method

Journal

Frontiers in neuroscience
ISSN: 1662-4548
Titre abrégé: Front Neurosci
Pays: Switzerland
ID NLM: 101478481

Informations de publication

Date de publication:
2020
Historique:
received: 13 02 2020
accepted: 29 06 2020
entrez: 9 9 2020
pubmed: 10 9 2020
medline: 10 9 2020
Statut: epublish

Résumé

Volume conduction of electrical potentials in the brain is highly influenced by the material properties and geometry of the tissue and recording devices implanted into the tissue. These effects are very large in EEG due to the volume conduction through the skull and scalp but are often neglected in intracranial electrophysiology. When considering penetrating electrodes deep in the brain, the assumption of an infinite and homogenous medium can be used when the sources are far enough from the brain surface and the electrodes to minimize the boundary effect. When the electrodes are recording from the brain's surface the effect of the boundary cannot be neglected, and the large surface area and commonly used insulating materials in surface electrode arrays may further increase the effect by altering the nature of the boundary in the immediate vicinity of the electrodes. This gives the experimenter some control over the spatial profiles of the potentials by appropriate design of the electrode arrays. We construct a simple three-layer model to describe the effect of material properties and geometry above the brain surface on the electric potentials and conduct empirical experiments to validate this model. A laminar electrode array is used to measure the effect of insulating and relatively conducting layers above the cortical surface by recording evoked potentials alternating between a dried surface and saline covering layer, respectively. Empirically, we find that an insulating boundary amplifies the potentials relative to conductive saline by about a factor of 4, and that the effect is not constrained to potentials that originate near the surface. The model is applied to predict the influence of array design and implantation procedure on the recording amplitude and spatial selectivity of the surface electrode arrays.

Identifiants

pubmed: 32903652
doi: 10.3389/fnins.2020.00763
pmc: PMC7438758
doi:

Banques de données

figshare
['10.6084/m9.figshare.11827821.v1']

Types de publication

Journal Article

Langues

eng

Pagination

763

Subventions

Organisme : NIDA NIH HHS
ID : R01 DA050159
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH111359
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS057198
Pays : United States
Organisme : NCRR NIH HHS
ID : S10 RR029050
Pays : United States

Informations de copyright

Copyright © 2020 Rogers, Thunemann, Devor and Gilja.

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Auteurs

Nicholas Rogers (N)

Department of Physics, University of California, San Diego, La Jolla, CA, United States.

Martin Thunemann (M)

Department of Radiology, University of California, San Diego, La Jolla, CA, United States.

Anna Devor (A)

Department of Radiology, University of California, San Diego, La Jolla, CA, United States.
Department of Neurosciences, University of California, San Diego, La Jolla, CA, United States.
Martinos Center for Biomedical Imaging, Harvard Medical School, Massachusetts General Hospital, Charlestown, MA, United States.

Vikash Gilja (V)

Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, United States.

Classifications MeSH