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.

Unique spatiotemporal fMRI dynamics in the awake mouse brain / Gutierrez-Barragan, Daniel; Singh, Neha Atulkumar; Alvino, Filomena Grazia; Coletta, Ludovico; Rocchi, Federico; De Guzman, Elizabeth; Galbusera, Alberto; Uboldi, Mauro; Panzeri, Stefano; Gozzi, Alessandro. - In: CURRENT BIOLOGY. - ISSN 0960-9822. - 32:3(2022). [10.1016/j.cub.2021.12.015]

Unique spatiotemporal fMRI dynamics in the awake mouse brain

Gutierrez-Barragan, Daniel;Alvino, Filomena Grazia;Coletta, Ludovico;Rocchi, Federico;
2022-01-01

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.
2022
3
Settore BIO/09 - Fisiologia
Settore BIOS-06/A - Fisiologia
Gutierrez-Barragan, Daniel; Singh, Neha Atulkumar; Alvino, Filomena Grazia; Coletta, Ludovico; Rocchi, Federico; De Guzman, Elizabeth; Galbusera, Albe...espandi
Unique spatiotemporal fMRI dynamics in the awake mouse brain / Gutierrez-Barragan, Daniel; Singh, Neha Atulkumar; Alvino, Filomena Grazia; Coletta, Ludovico; Rocchi, Federico; De Guzman, Elizabeth; Galbusera, Alberto; Uboldi, Mauro; Panzeri, Stefano; Gozzi, Alessandro. - In: CURRENT BIOLOGY. - ISSN 0960-9822. - 32:3(2022). [10.1016/j.cub.2021.12.015]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/447212
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