Unique spatiotemporal fMRI dynamics in the awake mouse brain

  • Daniel Gutierrez-Barragan (Geteilte/r Erstautor/in)
  • Neha Atulkumar Singh (Geteilte/r Erstautor/in)
  • Filomena Grazia Alvino
  • Ludovico Coletta
  • Federico Rocchi
  • Elizabeth De Guzman
  • Alberto Galbusera
  • Mauro Uboldi
  • Stefano Panzeri
  • Alessandro Gozzi

Abstract

Human imaging studies have shown that spontaneous brain activity exhibits stereotypic spatiotemporal reorganization in awake, conscious conditions with respect to minimally conscious states. However, whether and how this phenomenon can be generalized to lower mammalian species remains unclear. Leveraging a robust protocol for resting-state fMRI (rsfMRI) mapping in non-anesthetized, head-fixed mice, we investigated functional network topography and dynamic structure of spontaneous brain activity in wakeful animals. We found that rsfMRI networks in the awake state, while anatomically comparable to those observed under anesthesia, are topologically configured to maximize interregional communication, departing from the underlying community structure of the mouse axonal connectome. We further report that rsfMRI activity in wakeful animals exhibits unique spatiotemporal dynamics characterized by a state-dependent, dominant occurrence of coactivation patterns encompassing a prominent participation of arousal-related forebrain nuclei and functional anti-coordination between visual-auditory and polymodal cortical areas. We finally show that rsfMRI dynamics in awake mice exhibits a stereotypical temporal structure, in which state-dominant coactivation patterns are configured as network attractors. These findings suggest that spontaneous brain activity in awake mice is critically shaped by state-specific involvement of basal forebrain arousal systems and document that its dynamic structure recapitulates distinctive, evolutionarily relevant principles that are predictive of conscious states in higher mammalian species.

Bibliografische Daten

OriginalspracheEnglisch
ISSN0960-9822
DOIs
StatusVeröffentlicht - 07.02.2022

Anmerkungen des Dekanats

Copyright © 2021 The Author(s). Published by Elsevier Inc. All rights reserved.

PubMed 34998465