Chronic, Multi-Site Recordings Supported by Two Low-Cost, Stationary Probe Designs Optimized to Capture Either Single Unit or Local Field Potential Activity in Behaving Rats.

electrophysiology field potentials fixed array multi-site recordings rodent models single unit

Journal

Frontiers in psychiatry
ISSN: 1664-0640
Titre abrégé: Front Psychiatry
Pays: Switzerland
ID NLM: 101545006

Informations de publication

Date de publication:
2021
Historique:
received: 08 03 2021
accepted: 21 06 2021
entrez: 23 8 2021
pubmed: 24 8 2021
medline: 24 8 2021
Statut: epublish

Résumé

Rodent models of cognitive behavior have greatly contributed to our understanding of human neuropsychiatric disorders. However, to elucidate the neurobiological underpinnings of such disorders or impairments, animal models are more useful when paired with methods for measuring brain function in awake, behaving animals. Standard tools used for systems-neuroscience level investigations are not optimized for large-scale and high-throughput behavioral battery testing due to various factors including cost, time, poor longevity, and selective targeting limited to measuring only a few brain regions at a time. Here we describe two different "user-friendly" methods for building extracellular electrophysiological probes that can be used to measure either single units or local field potentials in rats performing cognitive tasks. Both probe designs leverage several readily available, yet affordable, commercial products to facilitate ease of production and offer maximum flexibility in terms of brain-target locations that can be scalable (32-64 channels) based on experimental needs. Our approach allows neural activity to be recorded simultaneously with behavior and compared between micro (single unit) and more macro (local field potentials) levels of brain activity in order to gain a better understanding of how local brain regions and their connected networks support cognitive functions in rats. We believe our novel probe designs make collecting electrophysiology data easier and will begin to fill the gap in knowledge between basic and clinical research.

Identifiants

pubmed: 34421671
doi: 10.3389/fpsyt.2021.678103
pmc: PMC8374626
doi:

Types de publication

Journal Article

Langues

eng

Pagination

678103

Informations de copyright

Copyright © 2021 Francoeur, Tang, Fakhraei, Wu, Hulyalkar, Cramer, Buscher and Ramanathan.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Miranda J Francoeur (MJ)

Mental Health Service, VA San Diego Healthcare System, San Diego, CA, United States.
Department of Psychiatry, University of California, San Diego, San Diego, CA, United States.

Tianzhi Tang (T)

Mental Health Service, VA San Diego Healthcare System, San Diego, CA, United States.
Department of Psychiatry, University of California, San Diego, San Diego, CA, United States.

Leila Fakhraei (L)

Mental Health Service, VA San Diego Healthcare System, San Diego, CA, United States.
Department of Psychiatry, University of California, San Diego, San Diego, CA, United States.

Xuanyu Wu (X)

Mental Health Service, VA San Diego Healthcare System, San Diego, CA, United States.
Department of Psychiatry, University of California, San Diego, San Diego, CA, United States.

Sidharth Hulyalkar (S)

Mental Health Service, VA San Diego Healthcare System, San Diego, CA, United States.
Department of Psychiatry, University of California, San Diego, San Diego, CA, United States.

Jessica Cramer (J)

Mental Health Service, VA San Diego Healthcare System, San Diego, CA, United States.
Department of Psychiatry, University of California, San Diego, San Diego, CA, United States.

Nathalie Buscher (N)

Mental Health Service, VA San Diego Healthcare System, San Diego, CA, United States.
Department of Psychiatry, University of California, San Diego, San Diego, CA, United States.

Dhakshin R Ramanathan (DR)

Mental Health Service, VA San Diego Healthcare System, San Diego, CA, United States.
Department of Psychiatry, University of California, San Diego, San Diego, CA, United States.

Classifications MeSH