Literature DB >> 31845748

Brain Morphological Dynamics of Procrastination: The Crucial Role of the Self-Control, Emotional, and Episodic Prospection Network.

Zhiyi Chen1,2, Peiwei Liu3, Chenyan Zhang4, Tingyong Feng1,2.   

Abstract

Globally, about 17% individuals are suffering from the maladaptive procrastination until now, which impacts individual's financial status, mental health, and even public policy. However, the comprehensive understanding of neuroanatomical understructure of procrastination still remains gap. 688 participants including 3 independent samples were recruited for this study. Brain morphological dynamics referred to the idiosyncrasies of both brain size and brain shape. Multilinear regression analysis was utilized to delineate brain morphological dynamics of procrastination in Sample 1. In the Sample 2, cross-validation was yielded. Finally, prediction models of machine learning were conducted in Sample 3. Procrastination had a significantly positive correlation with the gray matter volume (GMV) in the left insula, anterior cingulate gyrus (ACC), and parahippocampal gyrus (PHC) but was negatively correlated with GMV of dorsolateral prefrontal cortex (dlPFC) and gray matter density of ACC. Furthermore, procrastination was positively correlated to the cortical thickness and cortical complexity of bilateral orbital frontal cortex (OFC). In Sample 2, all the results were cross-validated highly. Predication analysis demonstrated that these brain morphological dynamic can predict procrastination with high accuracy. This study ascertained the brain morphological dynamics involving in self-control, emotion, and episodic prospection brain network for procrastination, which advanced promising aspects of the biomarkers for it.
© The Author(s) 2019. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permission@oup.com.

Entities:  

Keywords:  brain morphology; large-scale networks; procrastination; surface-based morphometry; voxel-based morphometry

Year:  2020        PMID: 31845748     DOI: 10.1093/cercor/bhz278

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  7 in total

1.  Hybrid brain model accurately predict human procrastination behavior.

Authors:  Zhiyi Chen; Rong Zhang; Jiawei Xie; Peiwei Liu; Chenyan Zhang; Jia Zhao; Justin Paul Laplante; Tingyong Feng
Journal:  Cogn Neurodyn       Date:  2022-01-24       Impact factor: 3.473

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

Authors:  Kanxin Gao; Rong Zhang; Ting Xu; Fan Zhou; Tingyong Feng
Journal:  Hum Brain Mapp       Date:  2021-01-09       Impact factor: 5.038

3.  Decreased preparatory activation and inattention to cues suggest lower activation of proactive cognitive control among high procrastinating students.

Authors:  Ewa Wiwatowska; Dominik Czajeczny; Jarosław M Michałowski
Journal:  Cogn Affect Behav Neurosci       Date:  2021-09-08       Impact factor: 3.282

4.  Development and validation of a self-control competency scale for late-school-aged children.

Authors:  Bo Kyoung Jin; Hye Young Ahn
Journal:  Child Health Nurs Res       Date:  2020-10-31

5.  A neuro-computational account of procrastination behavior.

Authors:  Raphaël Le Bouc; Mathias Pessiglione
Journal:  Nat Commun       Date:  2022-09-26       Impact factor: 17.694

6.  The Relationship Between Problematic Video Gaming, Problematic Facebook Use, and Self-Control Dimensions Among Female and Male Gamers.

Authors:  Andrzej Cudo; Tomasz Misiuro; Mark D Griffiths; Małgorzata Torój
Journal:  Adv Cogn Psychol       Date:  2020-08-18

7.  The anxiety-specific hippocampus-prefrontal cortex pathways links to procrastination through self-control.

Authors:  Rong Zhang; Zhiyi Chen; Bowen Hu; Feng Zhou; Tingyong Feng
Journal:  Hum Brain Mapp       Date:  2021-12-24       Impact factor: 5.038

  7 in total

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