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      Evoked and intrinsic brain network dynamics in children with autism spectrum disorder

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Highlights

          • Children with autism spectrum disorder (ASD) showed altered brain dynamics during the later stages of an attention task.

          • Brain dynamics during rest in both ASD and in typically developing children was associated with social ability.

          • Brain dynamics show the potential to index individual differences in social cognition and behavior.

          Abstract

          Objective

          Brain dynamics underlie flexible cognition and behavior, yet little is known regarding this relationship in autism spectrum disorder (ASD). We examined time-varying changes in functional co-activation patterns (CAPs) across rest and task-evoked brain states to characterize differences between children with ASD and typically developing (TD) children and identify relationships with severity of social behaviors and restricted and repetitive behaviors.

          Method

          17 children with ASD and 27 TD children ages 7–12 completed a resting-state fMRI scan and four runs of a non-cued attention switching task. Metrics indexing brain dynamics were generated from dynamic CAPs computed across three major large-scale brain networks: midcingulo-insular (M-CIN), medial frontoparietal (M-FPN), and lateral frontoparietal (L-FPN).

          Results

          Five time-varying CAPs representing dynamic co-activations among network nodes were identified across rest and task fMRI datasets. Significant Diagnosis × Condition interactions were observed for the dwell time of CAP 3, representing co-activation between nodes of the M-CIN and L-FPN, and the frequency of CAP 1, representing co-activation between nodes of the L-FPN. A significant brain-behavior association between dwell time of CAP 5, representing co-activation between nodes of the M-FPN, and social abilities was also observed across both groups of children.

          Conclusion

          Analysis of brain co-activation patterns reveals altered dynamics among three core networks in children with ASD, particularly evident during later stages of an attention task. Dimensional analyses demonstrating relationships between M-FPN dwell time and social abilities suggest that metrics of brain dynamics may index individual differences in social cognition and behavior.

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          Most cited references54

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          Dynamic reconfiguration of human brain networks during learning.

          Human learning is a complex phenomenon requiring flexibility to adapt existing brain function and precision in selecting new neurophysiological activities to drive desired behavior. These two attributes--flexibility and selection--must operate over multiple temporal scales as performance of a skill changes from being slow and challenging to being fast and automatic. Such selective adaptability is naturally provided by modular structure, which plays a critical role in evolution, development, and optimal network function. Using functional connectivity measurements of brain activity acquired from initial training through mastery of a simple motor skill, we investigate the role of modularity in human learning by identifying dynamic changes of modular organization spanning multiple temporal scales. Our results indicate that flexibility, which we measure by the allegiance of nodes to modules, in one experimental session predicts the relative amount of learning in a future session. We also develop a general statistical framework for the identification of modular architectures in evolving systems, which is broadly applicable to disciplines where network adaptability is crucial to the understanding of system performance.
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            On the relationship between the “default mode network” and the “social brain”

            The default mode network (DMN) of the brain consists of areas that are typically more active during rest than during active task performance. Recently however, this network has been shown to be activated by certain types of tasks. Social cognition, particularly higher-order tasks such as attributing mental states to others, has been suggested to activate a network of areas at least partly overlapping with the DMN. Here, we explore this claim, drawing on evidence from meta-analyses of functional MRI data and recent studies investigating the structural and functional connectivity of the social brain. In addition, we discuss recent evidence for the existence of a DMN in non-human primates. We conclude by discussing some of the implications of these observations.
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              Demystifying cognitive flexibility: Implications for clinical and developmental neuroscience.

              Cognitive flexibility, the readiness with which one can selectively switch between mental processes to generate appropriate behavioral responses, develops in a protracted manner and is compromised in several prevalent neurodevelopmental disorders. It is unclear whether cognitive flexibility arises from neural substrates distinct from the executive control network (ECN) or from the interplay of nodes within this and other networks. Here we review neuroimaging studies of cognitive flexibility, focusing on set shifting and task switching. We propose that more consistent operationalization and study of cognitive flexibility is required in clinical and developmental neuroscience. We suggest that an important avenue for future research is the characterization of the relationship between neural flexibility and cognitive flexibility in typical and atypical development.
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                Author and article information

                Contributors
                Journal
                Neuroimage Clin
                Neuroimage Clin
                NeuroImage : Clinical
                Elsevier
                2213-1582
                25 August 2020
                2020
                25 August 2020
                : 28
                : 102396
                Affiliations
                [a ]Department of Psychology, University of Miami, Coral Gables, FL, USA
                [b ]Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA
                [c ]Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
                [d ]Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA
                [e ]Neuroscience Program, University of Miami Miller School of Medicine, Miami, FL, USA
                Author notes
                [* ]Corresponding authors at: University of Miami, P.O. Box 248185-0751, Coral Gables, FL 33124, USA. lbk48@ 123456miami.edu l.uddin@ 123456miami.edu
                Article
                S2213-1582(20)30233-3 102396
                10.1016/j.nicl.2020.102396
                7479441
                32891039
                47b37f62-e00c-4692-82fe-2a50481a6ce1
                © 2020 The Author(s)

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 6 June 2020
                : 26 July 2020
                : 19 August 2020
                Categories
                Regular Article

                attention,cognitive flexibility,social cognition,salience network,default mode network,central executive network,set-shifting

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