Abstract
AbstractAdaptive brain function requires that sensory impressions of the social and natural milieu are dynamically incorporated into intrinsic brain activity. While dynamic switches between brain states have been well characterised in resting state acquisitions, the remodelling of these state transitions by engagement in naturalistic stimuli remains poorly understood. Here, we show that the temporal dynamics of brain states, as measured in fMRI, are reshaped from predominantly bistable transitions between two relatively indistinct states at rest, toward a sequence of well-defined functional states during movie viewing whose transitions are temporally aligned to specific features of the movie. The expression of these brain states covaries with different physiological states and reflects subjectively rated engagement in the movie. In sum, a data-driven decoding of brain states reveals the distinct reshaping of functional network expression and reliable state transitions that accompany the switch from resting state to perceptual immersion in an ecologically valid sensory experience.
Funder
Department of Education and Training | ARC | Centre of Excellence for Integrative Brain Function, Australian Research Council
Department of Health | National Health and Medical Research Council
Publisher
Springer Science and Business Media LLC
Subject
General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry
Reference70 articles.
1. Friston, K., Adams, R., Perrinet, L. & Breakspear, M. Perceptions as hypotheses: saccades as experiments. Front. Psychol. 3, 151 (2012).
2. Friston, K. The free-energy principle: a unified brain theory? Nat. Rev. Neurosci. 11, 127 (2010).
3. Hasson, U. Intersubject synchronization of cortical activity during natural vision. Science 303, 1634–1640 (2004).
4. Tononi, G., Sporns, O. & Edelman, G. M. A complexity measure for selective matching of signals by the brain. Proc. Natl Acad. Sci. USA 93, 3422–3427 (1996).
5. Vidaurre, D., Smith, S. M. & Woolrich, M. W. Brain network dynamics are hierarchically organized in time. Proc. Natl Acad. Sci. USA 114, 12827–12832 (2017).
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