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      The effect of conscientiousness on procrastination: The interaction between the self‐control and motivation neural pathways

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          Abstract

          Procrastination is a prevalent and universal problematic behavior, largely impairing individual's health, wealth and well‐being. Substantial studies have confirmed that conscientiousness, one of the big five personality, showed markedly inverse relation with procrastination. However, it is hitherto unknown about the neural basis underlying the impact of conscientiousness on procrastination. To address this issue, we employed the voxel‐based morphometry (VBM) and resting‐state functional connectivity (RSFC) methods to explore the neural substrates of conscientiousness responsible for procrastination ( N = 330). In line with previous findings, the behavioral results showed a strong negative correlation between conscientiousness and procrastination ( r = −.75). The VBM analysis found that conscientiousness was positively correlated with gray matter (GM) volumes in the left dorsal‐lateral prefrontal cortex (dlPFC), right orbital frontal cortex (OFC) and right putamen, but negatively correlated with that in the left insula. Moreover, the RSFC results revealed that both dlPFC‐IPL (inferior parietal lobule) and dlPFC‐PCC (posterior cingulate gyrus) functional connectivity were positively associated with conscientiousness, while the functional connectivity of parahippocampal gyrus (PHC)‐putamen and insula‐IPL were negatively associated with conscientiousness. More importantly, the structural equation modeling (SEM) integrating RSFC results were well fitted for the influence process of conscientiousness on procrastination by both self‐control (i.e., dlPFC‐IPL, dlPFC‐PCC) and motivation pathways (i.e., PHC‐putamen, insula‐IPL). The current findings suggest that self‐control and motivation could be the two neural pathways underlying the impact of conscientiousness on procrastination, which provides a new perspective to understand the relationship between conscientiousness and procrastination.

          Abstract

          Based on the reconstruction of the sub‐facets of conscientiousness, the VBM and RSFC methods were used to investigate the neural basis underlying the impact of conscientiousness on procrastination. Moreover, the SEM analysis integrating RSFC results were well fitted for the influence process of conscientiousness on procrastination via self‐control (i.e., dlPFC‐IPL, dlPFC‐PCC) and motivation pathways (i.e., PHC‐putamen, insula‐IPL). In conclusion, the present study provided a neural underpinning perspective to promote the understanding of the relationship between conscientiousness and procrastination, which enlightened the researcher about interventions for procrastination.

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          Comparative fit indexes in structural models.

          P. Bentler (1990)
          Normed and nonnormed fit indexes are frequently used as adjuncts to chi-square statistics for evaluating the fit of a structural model. A drawback of existing indexes is that they estimate no known population parameters. A new coefficient is proposed to summarize the relative reduction in the noncentrality parameters of two nested models. Two estimators of the coefficient yield new normed (CFI) and nonnormed (FI) fit indexes. CFI avoids the underestimation of fit often noted in small samples for Bentler and Bonett's (1980) normed fit index (NFI). FI is a linear function of Bentler and Bonett's non-normed fit index (NNFI) that avoids the extreme underestimation and overestimation often found in NNFI. Asymptotically, CFI, FI, NFI, and a new index developed by Bollen are equivalent measures of comparative fit, whereas NNFI measures relative fit by comparing noncentrality per degree of freedom. All of the indexes are generalized to permit use of Wald and Lagrange multiplier statistics. An example illustrates the behavior of these indexes under conditions of correct specification and misspecification. The new fit indexes perform very well at all sample sizes.
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            Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion.

            Here, we demonstrate that subject motion produces substantial changes in the timecourses of resting state functional connectivity MRI (rs-fcMRI) data despite compensatory spatial registration and regression of motion estimates from the data. These changes cause systematic but spurious correlation structures throughout the brain. Specifically, many long-distance correlations are decreased by subject motion, whereas many short-distance correlations are increased. These changes in rs-fcMRI correlations do not arise from, nor are they adequately countered by, some common functional connectivity processing steps. Two indices of data quality are proposed, and a simple method to reduce motion-related effects in rs-fcMRI analyses is demonstrated that should be flexibly implementable across a variety of software platforms. We demonstrate how application of this technique impacts our own data, modifying previous conclusions about brain development. These results suggest the need for greater care in dealing with subject motion, and the need to critically revisit previous rs-fcMRI work that may not have adequately controlled for effects of transient subject movements. Copyright © 2011 Elsevier Inc. All rights reserved.
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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
                fengty0@swu.edu.cn
                Journal
                Hum Brain Mapp
                Hum Brain Mapp
                10.1002/(ISSN)1097-0193
                HBM
                Human Brain Mapping
                John Wiley & Sons, Inc. (Hoboken, USA )
                1065-9471
                1097-0193
                09 January 2021
                15 April 2021
                : 42
                : 6 ( doiID: 10.1002/hbm.v42.6 )
                : 1829-1844
                Affiliations
                [ 1 ] Faculty of Psychology Southwest University Chongqing China
                [ 2 ] Key Laboratory of Cognition and Personality Ministry of Education China
                Author notes
                [*] [* ] Correspondence

                Tingyong Feng, Faculty of Psychology, Southwest University, No. 2, Tian Sheng RD., Beibei, ChongQing 400715, China.

                Email: fengty0@ 123456swu.edu.cn

                Author information
                https://orcid.org/0000-0001-9278-6474
                Article
                HBM25333
                10.1002/hbm.25333
                7978125
                33421255
                57202a07-209b-460d-90c2-4fdfb43de921
                © 2021 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 12 December 2020
                : 24 August 2020
                : 21 December 2020
                Page count
                Figures: 4, Tables: 4, Pages: 16, Words: 13272
                Funding
                Funded by: Fundamental Research Funds for the Central Universities , open-funder-registry 10.13039/501100012226;
                Award ID: SWU2009104
                Funded by: National Natural Science Foundation of China , open-funder-registry 10.13039/501100001809;
                Award ID: 31971026
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                15 April 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.0 mode:remove_FC converted:19.03.2021

                Neurology
                conscientiousness,procrastination,resting‐state functional connectivity,voxel‐based morphometry

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