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      Real-Life Self-Control is Predicted by Parietal Activity During Preference Decision Making: A Brain Decoding Analysis

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          Abstract

          Despite its relevance for health and education, the neurocognitive mechanism of real-life self-control is largely unknown. While recent research revealed a prominent role of the ventromedial prefrontal cortex in the computation of an integrative value signal, the contribution and relevance of other brain regions for real-life self-control remains unclear. To investigate neural correlates of decisions in line with long-term consequences and to assess the potential of brain decoding methods for the individual prediction of real-life self-control, we combined functional magnetic resonance imaging during preference decision making with ecological momentary assessment of daily self-control in a large community sample (N = 266). Decisions in line with long-term consequences were associated with increased activity in bilateral angular gyrus and precuneus, regions involved in different forms of perspective taking, such as imagining one’s own future and the perspective of others. Applying multivariate pattern analysis to the same clusters revealed that individual patterns of activity predicted the probability of real-life self-control. Brain activations are discussed in relation to episodic future thinking and mentalizing as potential mechanisms mediating real-life self-control.

          Supplementary Information

          The online version contains supplementary material available at 10.3758/s13415-021-00913-w.

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          Most cited references51

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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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            Unified segmentation.

            A probabilistic framework is presented that enables image registration, tissue classification, and bias correction to be combined within the same generative model. A derivation of a log-likelihood objective function for the unified model is provided. The model is based on a mixture of Gaussians and is extended to incorporate a smooth intensity variation and nonlinear registration with tissue probability maps. A strategy for optimising the model parameters is described, along with the requisite partial derivatives of the objective function.
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              An integrative theory of prefrontal cortex function.

              The prefrontal cortex has long been suspected to play an important role in cognitive control, in the ability to orchestrate thought and action in accordance with internal goals. Its neural basis, however, has remained a mystery. Here, we propose that cognitive control stems from the active maintenance of patterns of activity in the prefrontal cortex that represent goals and the means to achieve them. They provide bias signals to other brain structures whose net effect is to guide the flow of activity along neural pathways that establish the proper mappings between inputs, internal states, and outputs needed to perform a given task. We review neurophysiological, neurobiological, neuroimaging, and computational studies that support this theory and discuss its implications as well as further issues to be addressed
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                Author and article information

                Contributors
                klaus-martin.kroenke@tu-dresden.de
                Journal
                Cogn Affect Behav Neurosci
                Cogn Affect Behav Neurosci
                Cognitive, Affective & Behavioral Neuroscience
                Springer US (New York )
                1530-7026
                1531-135X
                1 June 2021
                1 June 2021
                2021
                : 21
                : 5
                : 936-947
                Affiliations
                [1 ]GRID grid.4488.0, ISNI 0000 0001 2111 7257, Faculty of Psychology, , Technische Universität Dresden, ; 01062 Dresden, Germany
                [2 ]GRID grid.4488.0, ISNI 0000 0001 2111 7257, Department of Psychiatry and Psychotherapy, , Technische Universität Dresden, ; Dresden, Germany
                [3 ]GRID grid.4488.0, ISNI 0000 0001 2111 7257, Neuroimaging Center, , Technische Universität Dresden, ; Dresden, Germany
                [4 ]GRID grid.10825.3e, ISNI 0000 0001 0728 0170, Department of Clinical Research, Faculty of Health, , University of Southern Denmark, ; Odense, Denmark
                Author information
                http://orcid.org/0000-0002-4797-5003
                Article
                913
                10.3758/s13415-021-00913-w
                8455489
                34075542
                8f82923a-d9ab-42a4-a9d4-c0f8d0f311b8
                © The Author(s) 2021

                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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 29 April 2021
                Funding
                Funded by: Technische Universität Dresden (1019)
                Categories
                Research Article
                Custom metadata
                © The Psychonomic Society, Inc. 2021

                Neurosciences
                self-control,value-based decision making,ecological momentary assessment,ecological validity,brain decoding

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