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Resting Brain Fluctuations Are Intrinsically Coupled to Visual Response Dynamics
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SYSNO ASEP 0545848 Document Type J - Journal Article R&D Document Type The record was not marked in the RIV Subsidiary J Článek ve WOS Title Resting Brain Fluctuations Are Intrinsically Coupled to Visual Response Dynamics Author(s) Belloy, M.E. (BE)
Billings, Jacob (UIVT-O) SAI, ORCID, RID
Abbas, A. (US)
Kashyap, A. (US)
Pan, W.J. (US)
Hinz, R. (BE)
Vanreusel, V. (US)
Van Audekerke, J. (US)
Van der Linden, A. (US)
Keilholz, S. (US)
Verhoye, M. (US)
Keliris, G.A. (US)Number of authors 12 Source Title Cerebral Cortex. - : Oxford University Press - ISSN 1047-3211
Roč. 31, č. 3 (2021), s. 1511-1522Language eng - English Country US - United States Keywords brain state ; default mode (DMN) and task-positive network (TPN) ; functional MRI ; neuromodulation ; visual stimulation UT WOS 000637026100008 EID SCOPUS 85102091046 DOI 10.1093/cercor/bhaa305 Annotation How do intrinsic brain dynamics interact with processing of external sensory stimuli? We sought new insights using functional magnetic resonance imaging to track spatiotemporal activity patterns at the whole brain level in lightly anesthetized mice, during both resting conditions and visual stimulation trials. Our results provide evidence that quasiperiodic patterns (QPPs) are the most prominent component of mouse resting brain dynamics. These QPPs captured the temporal alignment of anticorrelation between the default mode (DMN)- and task-positive (TPN)-like networks, with global brain fluctuations, and activity in neuromodulatory nuclei of the reticular formation. Specifically, the phase of QPPs prior to stimulation could significantly stratify subsequent visual response magnitude, suggesting QPPs relate to brain state fluctuations. This is the first observation in mice that dynamics of the DMN- and TPN-like networks, and particularly their anticorrelation, capture a brain state dynamic that affects sensory processing. Interestingly, QPPs also displayed transient onset response properties during visual stimulation, which covaried with deactivations in the reticular formation. We conclude that QPPs appear to capture a brain state fluctuation that may be orchestrated through neuromodulation. Our findings provide new frontiers to understand the neural processes that shape functional brain states and modulate sensory input processing. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2022
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