Enabling electric field model of microscopically realistic brain

Under the stated limitations and assumptions of our method, this result essentially justifies the conventional theory of "invisible" neurons embedded in a macroscopic brain model for transcranial magnetic and transcranial electrical stimulation. However, our result is solely sample-specific and is only relevant to this relatively small sample with 396 neurons. It largely neglects the effect of the microcapillary network. Furthermore, we only considered the uniform impressed field and a single-pulse stimulation time course.

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Publication Details

Journal
Brain stimulation
Published
2024-12-20
DOI
https://doi.org/10.1016/j.brs.2024.12.1192
Citations
19
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
5.10

Funders

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article

Enabling electric field model of microscopically realistic brain

Gregory M. Noetscher, Kelu Liu, Konstantin Weise, Thomas R. Knösche et al.
19 citations
Brain stimulation
Neuroscience and Neural Engineering
5.10
article

Enabling electric field model of microscopically realistic brain

Gregory M. Noetscher, Kelu Liu, Konstantin Weise, Thomas R. Knösche, Zhi‐De Deng, Guillermo Nuñez Ponasso, Alton Miles, Zhen Qi, Aapo Nummenmaa, Sergey N Makaroff, William A. Wartman, Cameron R Cadman, Alina R Potashinsky, Marom Bikson, Hanbing Lu
article en
19 citations

Abstract

Under the stated limitations and assumptions of our method, this result essentially justifies the conventional theory of "invisible" neurons embedded in a macroscopic brain model for transcranial magnetic and transcranial electrical stimulation. However, our result is solely sample-specific and is only relevant to this relatively small sample with 396 neurons. It largely neglects the effect of the microcapillary network. Furthermore, we only considered the uniform impressed field and a single-pulse stimulation time course.

Brain stimulationVol. 18(1)
Worcester Polytechnic Institute (US), City College of New York (US), National Institutes of Health (US), National Institute on Drug Abuse (US), Massachusetts General Hospital (US), Athinoula A. Martinos Center for Biomedical Imaging (US), Max Planck Institute for Human Cognitive and Brain Sciences (DE), National Institute of Mental Health (US)
Massachusetts General Hospital, Yale University, Worcester Polytechnic Institute, National Institutes of Health, National Institute of Mental Health, National Institute on Drug Abuse, National Institute on Deafness and Other Communication Disorders, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering
Openalex Percentile: Top 4%
Neuroscience and Neural Engineering
5.10
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