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      Go with the flow: A neuroscientific view on being fully engaged

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          Abstract

          Flow is a state of full task absorption, accompanied with a strong drive and low levels of self‐referential thinking. Flow is likely when there is a match between a person's skills and the task challenge. Despite its relevance for human performance and the vast body of research on flow, there is currently still relatively little insight in its underlying neurocognitive mechanisms. In this paper, we discuss a set of large brain networks that may be involved in establishing the core dimensions of flow. We propose that dopaminergic and noradrenergic systems mediate the intrinsic motivation and activate mood states that are typical for flow. The interaction between three large‐scale attentional networks, namely the Default Mode Network, Central Executive Network and the Salience Network is proposed to play a role in the strong task engagement, low self‐referential thinking, feedback and feelings of control in flow. The proposed relationships between flow and the brain networks may support the generation of new hypotheses and can guide future research in this field.

          Abstract

          Flow is the experience of full task engagement and low self‐referential thinking. It plays a relevant role in human performance and well‐being. We propose a neuroscientific model in which dopaminergic and norepinephrine networks underlie the motivational aspects of flow. The interplay between the default mode network, the salience network and the central executive network subsequently regulate the attentional properties of flow. The model may guide future neuroscientific research on flow.

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          Most cited references98

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          A default mode of brain function.

          A baseline or control state is fundamental to the understanding of most complex systems. Defining a baseline state in the human brain, arguably our most complex system, poses a particular challenge. Many suspect that left unconstrained, its activity will vary unpredictably. Despite this prediction we identify a baseline state of the normal adult human brain in terms of the brain oxygen extraction fraction or OEF. The OEF is defined as the ratio of oxygen used by the brain to oxygen delivered by flowing blood and is remarkably uniform in the awake but resting state (e.g., lying quietly with eyes closed). Local deviations in the OEF represent the physiological basis of signals of changes in neuronal activity obtained with functional MRI during a wide variety of human behaviors. We used quantitative metabolic and circulatory measurements from positron-emission tomography to obtain the OEF regionally throughout the brain. Areas of activation were conspicuous by their absence. All significant deviations from the mean hemisphere OEF were increases, signifying deactivations, and resided almost exclusively in the visual system. Defining the baseline state of an area in this manner attaches meaning to a group of areas that consistently exhibit decreases from this baseline, during a wide variety of goal-directed behaviors monitored with positron-emission tomography and functional MRI. These decreases suggest the existence of an organized, baseline default mode of brain function that is suspended during specific goal-directed behaviors.
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            The brain's default network: anatomy, function, and relevance to disease.

            Thirty years of brain imaging research has converged to define the brain's default network-a novel and only recently appreciated brain system that participates in internal modes of cognition. Here we synthesize past observations to provide strong evidence that the default network is a specific, anatomically defined brain system preferentially active when individuals are not focused on the external environment. Analysis of connectional anatomy in the monkey supports the presence of an interconnected brain system. Providing insight into function, the default network is active when individuals are engaged in internally focused tasks including autobiographical memory retrieval, envisioning the future, and conceiving the perspectives of others. Probing the functional anatomy of the network in detail reveals that it is best understood as multiple interacting subsystems. The medial temporal lobe subsystem provides information from prior experiences in the form of memories and associations that are the building blocks of mental simulation. The medial prefrontal subsystem facilitates the flexible use of this information during the construction of self-relevant mental simulations. These two subsystems converge on important nodes of integration including the posterior cingulate cortex. The implications of these functional and anatomical observations are discussed in relation to possible adaptive roles of the default network for using past experiences to plan for the future, navigate social interactions, and maximize the utility of moments when we are not otherwise engaged by the external world. We conclude by discussing the relevance of the default network for understanding mental disorders including autism, schizophrenia, and Alzheimer's disease.
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              Dissociable intrinsic connectivity networks for salience processing and executive control.

              Variations in neural circuitry, inherited or acquired, may underlie important individual differences in thought, feeling, and action patterns. Here, we used task-free connectivity analyses to isolate and characterize two distinct networks typically coactivated during functional MRI tasks. We identified a "salience network," anchored by dorsal anterior cingulate (dACC) and orbital frontoinsular cortices with robust connectivity to subcortical and limbic structures, and an "executive-control network" that links dorsolateral frontal and parietal neocortices. These intrinsic connectivity networks showed dissociable correlations with functions measured outside the scanner. Prescan anxiety ratings correlated with intrinsic functional connectivity of the dACC node of the salience network, but with no region in the executive-control network, whereas executive task performance correlated with lateral parietal nodes of the executive-control network, but with no region in the salience network. Our findings suggest that task-free analysis of intrinsic connectivity networks may help elucidate the neural architectures that support fundamental aspects of human behavior.
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                Author and article information

                Contributors
                vanderlinden@essb.eur.nl
                Journal
                Eur J Neurosci
                Eur J Neurosci
                10.1111/(ISSN)1460-9568
                EJN
                The European Journal of Neuroscience
                John Wiley and Sons Inc. (Hoboken )
                0953-816X
                1460-9568
                09 November 2020
                February 2021
                : 53
                : 4 ( doiID: 10.1111/ejn.v53.4 )
                : 947-963
                Affiliations
                [ 1 ] Department of Psychology, Education, and Child Studies Erasmus University Rotterdam Rotterdam The Netherlands
                [ 2 ] Developmental and Educational Psychology Unit Leiden University Leiden The Netherlands
                [ 3 ] University of Johannesburg South Africa
                Author notes
                [*] [* ] Correspondence

                Dimitri van der Linden, Department of Psychology, Education, and Child Studies, Erasmus University Rotterdam, Burgemeester Oudlaan 50, P. O. Box 9104, 3000 DR, Rotterdam, The Netherlands.

                Email: vanderlinden@ 123456essb.eur.nl

                Author information
                https://orcid.org/0000-0001-7098-8948
                https://orcid.org/0000-0001-7861-9661
                https://orcid.org/0000-0003-1489-1847
                Article
                EJN15014
                10.1111/ejn.15014
                7983950
                33084102
                c3e957cd-15a1-4db4-b377-03ae6c7d660b
                © 2020 The Authors. European Journal of Neuroscience published by Federation of European Neuroscience Societies and John Wiley & Sons Ltd

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 12 October 2020
                : 24 May 2020
                : 13 October 2020
                Page count
                Figures: 5, Tables: 2, Pages: 17, Words: 28448
                Categories
                Review Article
                Systems Neuroscience
                Custom metadata
                2.0
                February 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.0 mode:remove_FC converted:22.03.2021

                Neurosciences
                brain networks,flow,neuroscience of optimal performance,task engagement
                Neurosciences
                brain networks, flow, neuroscience of optimal performance, task engagement

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