Neuroplasticity-driven timing modulations revealed by ultrafast functional magnetic resonance imaging.


Journal

NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515

Informations de publication

Date de publication:
15 01 2021
Historique:
received: 30 07 2020
revised: 14 09 2020
accepted: 07 10 2020
pubmed: 19 10 2020
medline: 11 3 2021
entrez: 18 10 2020
Statut: ppublish

Résumé

Detecting neuroplasticity in global brain circuits in vivo is key for understanding myriad processes such as memory, learning, and recovery from injury. Functional Magnetic Resonance Imaging (fMRI) is instrumental for such in vivo mappings, yet it typically relies on mapping changes in spatial extent of activation or via signal amplitude modulations, whose interpretation can be highly ambiguous. Importantly, a central aspect of neuroplasticity involves modulation of neural activity timing properties. We thus hypothesized that this temporal dimension could serve as a new marker for neuroplasticity. To detect fMRI signals more associated with the underlying neural dynamics, we developed an ultrafast fMRI (ufMRI) approach facilitating high spatiotemporal sensitivity and resolution in distributed neural pathways. When neuroplasticity was induced in the mouse visual pathway via dark rearing, ufMRI indeed mapped temporal modulations in the entire visual pathway. Our findings therefore suggest a new dimension for exploring neuroplasticity in vivo.

Identifiants

pubmed: 33069861
pii: S1053-8119(20)30931-9
doi: 10.1016/j.neuroimage.2020.117446
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

117446

Informations de copyright

Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved.

Auteurs

Rita Gil (R)

Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal.

Francisca F Fernandes (FF)

Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal.

Noam Shemesh (N)

Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal. Electronic address: noam.shemesh@neuro.fchampalimaud.org.

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Classifications MeSH