Network structure mediates functional reorganization induced by optogenetic stimulation of non-human primate sensorimotor cortex.

network structure neuroscience

Journal

iScience
ISSN: 2589-0042
Titre abrégé: iScience
Pays: United States
ID NLM: 101724038

Informations de publication

Date de publication:
20 May 2022
Historique:
received: 21 11 2021
revised: 22 03 2022
accepted: 19 04 2022
entrez: 16 5 2022
pubmed: 17 5 2022
medline: 17 5 2022
Statut: epublish

Résumé

Because aberrant network-level functional connectivity underlies a variety of neural disorders, the ability to induce targeted functional reorganization would be a profound development toward therapies for neural disorders. Brain stimulation has been shown to induce large-scale network-wide functional connectivity changes (FCC), but the mapping from stimulation to the induced changes is unclear. Here, we develop a model which jointly considers the stimulation protocol and the cortical network structure to accurately predict network-wide FCC in response to optogenetic stimulation of non-human primate primary sensorimotor cortex. We observe that the network structure has a much stronger effect than the stimulation protocol on the resulting FCC. We also observe that the mappings from these input features to the FCC diverge over frequency bands and successive stimulations. Our framework represents a paradigm shift for targeted neural stimulation and can be used to interrogate, improve, and develop stimulation-based interventions for neural disorders.

Identifiants

pubmed: 35573193
doi: 10.1016/j.isci.2022.104285
pii: S2589-0042(22)00555-7
pmc: PMC9095749
doi:

Banques de données

figshare
['10.6084/m9.figshare.16625726']

Types de publication

Journal Article

Langues

eng

Pagination

104285

Subventions

Organisme : NIH HHS
ID : P51 OD010425
Pays : United States
Organisme : NLM NIH HHS
ID : T32 LM012419
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM133848
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS119395
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM114029
Pays : United States

Informations de copyright

© 2022 The Author(s).

Déclaration de conflit d'intérêts

The authors declare no competing interests.

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Auteurs

Julien Bloch (J)

Department of Bioengineering, University of Washington, Seattle, WA 98105, USA.
Center for Neurotechnology, University of Washington, Seattle, WA 98105, USA.
Computational Neuroscience Center, University of Washington, Seattle, WA 98105, USA.
Washington National Primate Research Center, University of Washington, Seattle, WA 98105, USA.

Alexander Greaves-Tunnell (A)

Department of Statistics, University of Washington, Seattle, WA 98105, USA.

Eric Shea-Brown (E)

Department of Applied Mathematics, University of Washington, Seattle, WA 98105, USA.
Center for Neurotechnology, University of Washington, Seattle, WA 98105, USA.
Computational Neuroscience Center, University of Washington, Seattle, WA 98105, USA.

Zaid Harchaoui (Z)

Department of Statistics, University of Washington, Seattle, WA 98105, USA.

Ali Shojaie (A)

Department of Biostatistics, University of Washington, Seattle, WA 98105, USA.

Azadeh Yazdan-Shahmorad (A)

Department of Bioengineering, University of Washington, Seattle, WA 98105, USA.
Department of Electrical and Computer Engineering, University of Washington, Seattle, WA 98105, USA.
Center for Neurotechnology, University of Washington, Seattle, WA 98105, USA.
Computational Neuroscience Center, University of Washington, Seattle, WA 98105, USA.
Washington National Primate Research Center, University of Washington, Seattle, WA 98105, USA.

Classifications MeSH