Investigating Neural Correlates of Behavior Through In Vivo Electrophysiology.


Journal

Current protocols
ISSN: 2691-1299
Titre abrégé: Curr Protoc
Pays: United States
ID NLM: 101773894

Informations de publication

Date de publication:
May 2023
Historique:
pmc-release: 01 05 2024
medline: 10 5 2023
pubmed: 8 5 2023
entrez: 8 5 2023
Statut: ppublish

Résumé

Behavioral neuroscience has long relied on in vivo electrophysiology to provide spatially and temporally precise answers to complex questions about the neural dynamics underlying sensory processing and action execution. Investigating the neural correlates of behavior can be challenging in freely behaving animals, especially when making inferences related to internal states that are temporally or conceptually ambiguous, such as decision-making or motivation. This necessitates careful creation of appropriate and rigorous controls and awareness of the many potential confounds when attributing neural signals to animal behavior. This article discusses fundamental considerations for the optimal design and interpretation of in vivo rodent electrophysiological recording experiments and focuses on the different optimization strategies required when investigating neural encoding of external stimuli versus free behavior. The first protocol offers suggestions specific to intracranial surgical implantation of multielectrode arrays. The second protocol delves into optimization strategies and tips useful for designing and interpreting recording experiments conducted in freely behaving rodents. © 2023 Wiley Periodicals LLC. Basic Protocol 1: Surgical implantation of the multielectrode array Basic Protocol 2: Optimizing experimental design and parameters.

Identifiants

pubmed: 37154436
doi: 10.1002/cpz1.769
pmc: PMC10290908
mid: NIHMS1889716
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e769

Subventions

Organisme : NIMH NIH HHS
ID : R15 MH127514
Pays : United States
Organisme : NIH HHS
Pays : United States

Informations de copyright

© 2023 Wiley Periodicals LLC.

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Auteurs

Lindsay R Halladay (LR)

Department of Psychology, Santa Clara University, Santa Clara, California.

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Classifications MeSH