Cortical Observation by Synchronous Multifocal Optical Sampling Reveals Widespread Population Encoding of Actions.
Algorithms
Animals
Behavior, Animal
/ physiology
Brain Mapping
Cerebral Cortex
/ physiology
Conditioning, Operant
Craniotomy
Mice
Neocortex
/ cytology
Neuroimaging
/ instrumentation
Neurons
Observation
/ methods
Optogenetics
/ methods
Psychomotor Performance
Robotic Surgical Procedures
/ instrumentation
Signal-To-Noise Ratio
COSMOS
calcium imaging
cortex
licking
motor planning
multifocal
neural decoding
neural dynamics
population dynamics
synchronous
widefield
Journal
Neuron
ISSN: 1097-4199
Titre abrégé: Neuron
Pays: United States
ID NLM: 8809320
Informations de publication
Date de publication:
22 07 2020
22 07 2020
Historique:
received:
30
01
2020
revised:
01
04
2020
accepted:
26
04
2020
pubmed:
21
5
2020
medline:
21
10
2020
entrez:
21
5
2020
Statut:
ppublish
Résumé
To advance the measurement of distributed neuronal population representations of targeted motor actions on single trials, we developed an optical method (COSMOS) for tracking neural activity in a largely uncharacterized spatiotemporal regime. COSMOS allowed simultaneous recording of neural dynamics at ∼30 Hz from over a thousand near-cellular resolution neuronal sources spread across the entire dorsal neocortex of awake, behaving mice during a three-option lick-to-target task. We identified spatially distributed neuronal population representations spanning the dorsal cortex that precisely encoded ongoing motor actions on single trials. Neuronal correlations measured at video rate using unaveraged, whole-session data had localized spatial structure, whereas trial-averaged data exhibited widespread correlations. Separable modes of neural activity encoded history-guided motor plans, with similar population dynamics in individual areas throughout cortex. These initial experiments illustrate how COSMOS enables investigation of large-scale cortical dynamics and that information about motor actions is widely shared between areas, potentially underlying distributed computations.
Identifiants
pubmed: 32433908
pii: S0896-6273(20)30315-9
doi: 10.1016/j.neuron.2020.04.023
pmc: PMC7687350
mid: NIHMS1643850
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
351-367.e19Subventions
Organisme : Howard Hughes Medical Institute
Pays : United States
Organisme : NINDS NIH HHS
ID : K99 NS116122
Pays : United States
Organisme : NIDA NIH HHS
ID : R37 DA035377
Pays : United States
Organisme : NIMH NIH HHS
ID : T32 MH020016
Pays : United States
Informations de copyright
Copyright © 2020 Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Interests The authors have made all the designs and protocols for COSMOS freely available for nonprofit use; Stanford University is also submitting a patent application to further facilitate commercial translation.
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