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      Movie viewing elicits rich and reliable brain state dynamics

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          Abstract

          Adaptive 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.

          Abstract

          The transition from resting to perceiving one’s milieu requires a fundamental reorganization of brain activity. Here, the authors show how a fundamental reshaping of brain state dynamics supports perceptual engagement in naturalistic stimuli.

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          A free-energy principle has been proposed recently that accounts for action, perception and learning. This Review looks at some key brain theories in the biological (for example, neural Darwinism) and physical (for example, information theory and optimal control theory) sciences from the free-energy perspective. Crucially, one key theme runs through each of these theories - optimization. Furthermore, if we look closely at what is optimized, the same quantity keeps emerging, namely value (expected reward, expected utility) or its complement, surprise (prediction error, expected cost). This is the quantity that is optimized under the free-energy principle, which suggests that several global brain theories might be unified within a free-energy framework.
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            FMRIPrep: a robust preprocessing pipeline for functional MRI

            Preprocessing of functional MRI (fMRI) involves numerous steps to clean and standardize data before statistical analysis. Generally, researchers create ad-hoc preprocessing workflows for each new dataset, building upon a large inventory of tools available. The complexity of these workflows has snowballed with rapid advances in acquisition and processing. We introduce fMRIPrep, an analysis-agnostic tool that addresses the challenge of robust and reproducible preprocessing for fMRI data. FMRIPrep automatically adapts a best-in-breed workflow to the idiosyncrasies of virtually any dataset, ensuring high-quality preprocessing with no manual intervention. By introducing visual assessment checkpoints into an iterative integration framework for software-testing, we show that fMRIPrep robustly produces high-quality results on a diverse fMRI data collection. Additionally, fMRIPrep introduces less uncontrolled spatial smoothness than commonly used preprocessing tools. FMRIPrep equips neuroscientists with a high-quality, robust, easy-to-use and transparent preprocessing workflow, which can help ensure the validity of inference and the interpretability of their results.
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              Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging.

              The majority of functional neuroscience studies have focused on the brain's response to a task or stimulus. However, the brain is very active even in the absence of explicit input or output. In this Article we review recent studies examining spontaneous fluctuations in the blood oxygen level dependent (BOLD) signal of functional magnetic resonance imaging as a potentially important and revealing manifestation of spontaneous neuronal activity. Although several challenges remain, these studies have provided insight into the intrinsic functional architecture of the brain, variability in behaviour and potential physiological correlates of neurological and psychiatric disease.
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                Author and article information

                Contributors
                Johan.vanderMeer@qimrberghofer.edu.au
                luca.cocchi@qimrberghofer.edu.au
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                5 October 2020
                5 October 2020
                2020
                : 11
                : 5004
                Affiliations
                [1 ]GRID grid.1049.c, ISNI 0000 0001 2294 1395, Program of Mental Health, , QIMR Berghofer Medical Research Institute, Brisbane, ; 300 Herston Road, Brisbane, 4006 QLD Australia
                [2 ]GRID grid.266842.c, ISNI 0000 0000 8831 109X, School of Psychology, Faculty of Science, , University of Newcastle, University Drive, ; Callaghan, NSW Australia
                [3 ]GRID grid.266842.c, ISNI 0000 0000 8831 109X, Discipline of Psychiatry, Faculty of Health and Medicine, , University of Newcastle, University Drive, ; Callaghan, NSW Australia
                [4 ]GRID grid.254880.3, ISNI 0000 0001 2179 2404, Department of Psychological and Brain Sciences, , Dartmouth College, ; Hanover, NH 03755 NH USA
                Author information
                http://orcid.org/0000-0003-2737-2691
                http://orcid.org/0000-0003-4943-3969
                http://orcid.org/0000-0002-6621-8120
                http://orcid.org/0000-0003-3651-2676
                Article
                18717
                10.1038/s41467-020-18717-w
                7536385
                33020473
                8556b32f-82f7-4446-b6a4-c29124c9ef3b
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 12 March 2020
                : 3 September 2020
                Funding
                Funded by: FundRef https://doi.org/10.13039/100013102, Department of Education and Training | ARC | Centre of Excellence for Integrative Brain Function, Australian Research Council (ARC Centre of Excellence for Integrative Brain Function);
                Award ID: CE14010007
                Award ID: CE14010007
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100000925, Department of Health | National Health and Medical Research Council (NHMRC);
                Award ID: 1118153
                Award ID: 1099082
                Award ID: 1138711
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                Uncategorized
                perception,dynamical systems
                Uncategorized
                perception, dynamical systems

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