Identifying the Neural Substrates of Procrastination: a Resting-State fMRI Study

被引:0
|
作者
Wenwen Zhang
Xiangpeng Wang
Tingyong Feng
机构
[1] Key Laboratory of Cognition and Personality,
[2] School of Psychology,undefined
[3] Southwest University,undefined
[4] Key Laboratory of Cognition and Personality,undefined
[5] Ministry of Education,undefined
[6] Southwest University,undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Procrastination is a prevalent problematic behavior that brings serious consequences to individuals who suffer from it. Although this phenomenon has received increasing attention from researchers, the underpinning neural substrates of it is poorly studied. To examine the neural bases subserving procrastination, the present study employed resting-state fMRI. The main results were as follows: (1) the behavioral procrastination was positively correlated with the regional activity of the ventromedial prefrontal cortex (vmPFC) and the parahippocampal cortex (PHC), while negatively correlated with that of the anterior prefrontal cortex (aPFC). (2) The aPFC-seed connectivity with the anterior medial prefrontal cortex and the posterior cingulate cortex was positively associated with procrastination. (3) The connectivity between vmPFC and several other regions, such as the dorsomedial prefrontal cortex, the bilateral inferior prefrontal cortex showed a negative association with procrastination. These results suggested that procrastination could be attributed to, on the one hand, hyper-activity of the default mode network (DMN) that overrides the prefrontal control signal; while on the other hand, the failure of top-down control exerted by the aPFC on the DMN. Therefore, the present study unravels the biomarkers of procrastination and provides treatment targets for procrastination prevention.
引用
收藏
相关论文
共 50 条
  • [1] Identifying the Neural Substrates of Procrastination: a Resting-State fMRI Study
    Zhang, Wenwen
    Wang, Xiangpeng
    Feng, Tingyong
    [J]. SCIENTIFIC REPORTS, 2016, 6
  • [2] Identifying Neural Patterns of Functional Dyspepsia Using Multivariate Pattern Analysis: A Resting-State fMRI Study
    Liu, Peng
    Qin, Wei
    Wang, Jingjing
    Zeng, Fang
    Zhou, Guangyu
    Wen, Haixia
    von Deneen, Karen M.
    Liang, Fanrong
    Gong, Qiyong
    Tian, Jie
    [J]. PLOS ONE, 2013, 8 (07):
  • [3] Resting-state fMRI sheds light on neural substrates of cognitive decline in Parkinson disease
    Shinotoh, Hitoshi
    Tessitore, Alessandro
    [J]. NEUROLOGY, 2014, 83 (22) : 2000 - 2001
  • [4] Identifying Patients With PTSD Utilizing Resting-State fMRI Data and Neural Network Approach
    Shahzad, Mirza Naveed
    Ali, Haider
    Saba, Tanzila
    Rehman, Amjad
    Kolivand, Hoshang
    Bahaj, Saeed Ali
    [J]. IEEE ACCESS, 2021, 9 : 107941 - 107954
  • [5] Resting-state neural network disturbances that underpin the emergence of emotional symptoms in adolescent girls: resting-state fMRI study
    Malhi, Gin S.
    Das, Pritha
    Outhred, Tim
    Bryant, Richard A.
    Calhoun, Vince
    [J]. BRITISH JOURNAL OF PSYCHIATRY, 2019, 215 (03) : 545 - 551
  • [6] Neural basis of global resting-state fMRI activity
    Schoelvinck, Marieke L.
    Maier, Alexander
    Ye, Frank Q.
    Duyn, Jeff H.
    Leopold, David A.
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2010, 107 (22) : 10238 - 10243
  • [7] Resting-state fMRI for the masses
    Orringer, Daniel A.
    [J]. JOURNAL OF NEUROSURGERY, 2019, 131 (03) : 757 - 758
  • [8] Gaining insight into the neural basis of resting-state fMRI signal
    Ma, Zilu
    Zhang, Qingqing
    Tu, Wenyu
    Zhang, Nanyin
    [J]. NEUROIMAGE, 2022, 250
  • [9] Identifying Migraine: Building Classifiers Using Resting-State fMRI Data
    Chong, Catherine
    Gaw, Nathan
    Fu, YinLin
    Li, Jing
    Wu, Teresa
    Schwedt, Todd
    [J]. NEUROLOGY, 2016, 86
  • [10] Identifying Sparse Connectivity Patterns in the brain using resting-state fMRI
    Eavani, Harini
    Satterthwaite, Theodore D.
    Filipovych, Roman
    Gur, Raquel E.
    Gur, Ruben C.
    Davatzikos, Christos
    [J]. NEUROIMAGE, 2015, 105 : 286 - 299