Attention Bias in Rumination and Depression: Cognitive Mechanisms and Brain Networks

被引:62
作者
Kaiser, Roselinde H. [1 ]
Snyder, Hannah R. [2 ]
Goer, Franziska [3 ]
Clegg, Rachel [3 ]
Ironside, Manon [3 ]
Pizzagalli, Diego A. [3 ,4 ,5 ]
机构
[1] Univ Colorado Boulder, Dept Psychol & Neurosci, Boulder, CO USA
[2] Brandeis Univ, Dept Psychol, Waltham, MA 02254 USA
[3] McLean Hosp, Ctr Depress Anxiety & Stress Res, 115 Mill St, Belmont, MA 02178 USA
[4] McLean Hosp, McLean Imaging Ctr, 115 Mill St, Belmont, MA 02178 USA
[5] Harvard Med Sch, Dept Psychiat, Boston, MA USA
关键词
cognitive bias; attention bias; rumination; depression; functional connectivity; DYNAMIC FUNCTIONAL CONNECTIVITY; IMPAIRED DISENGAGEMENT; NEGATIVE AFFECTIVITY; SELF; INFORMATION; MOOD; DYSPHORIA; MEMORY; METAANALYSIS; ANXIETY;
D O I
10.1177/2167702618797935
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
Depressed individuals exhibit biased attention to negative emotional information. However, much remains unknown about (a) the neurocognitive mechanisms of attention bias (e.g., qualities of negative information that evoke attention bias or functional brain network dynamics that may reflect a propensity for biased attention) and (b) distinctions in the types of attention bias related to different dimensions of depression (e.g., ruminative depression). Here, in 50 women, clinical depression was associated with facilitated processing of negative information only when such information was self-descriptive and task-relevant. However, among depressed individuals, trait rumination was associated with biases toward negative self-descriptive information regardless of task goals, especially when negative self-descriptive material was paired with self-referential images that should be ignored. Attention biases in ruminative depression were mediated by dynamic variability in frontoinsular resting-state functional connectivity. These findings highlight potential cognitive and functional network mechanisms of attention bias specifically related to the ruminative dimension of depression.
引用
收藏
页码:765 / 782
页数:18
相关论文
共 91 条
[1]   Self-referent information-processing in individuals at high and low cognitive risk for depression [J].
Alloy, LB ;
Abramson, LY ;
Murray, LA ;
Whitehouse, WG ;
Hogan, ME .
COGNITION & EMOTION, 1997, 11 (5-6) :539-568
[2]   The default network and self-generated thought: component processes, dynamic control, and clinical relevance [J].
Andrews-Hanna, Jessica R. ;
Smallwood, Jonathan ;
Spreng, R. Nathan .
YEAR IN COGNITIVE NEUROSCIENCE, 2014, 1316 :29-52
[3]   Eye tracking of attention in the affective disorders: A meta-analytic review and synthesis [J].
Armstrong, Thomas ;
Olatunji, Bunmi O. .
CLINICAL PSYCHOLOGY REVIEW, 2012, 32 (08) :704-723
[4]   The evolution of the cognitive model of depression and its neurobiological correlates [J].
Beck, Aaron T. .
AMERICAN JOURNAL OF PSYCHIATRY, 2008, 165 (08) :969-977
[5]   PSYCHOMETRIC PROPERTIES OF THE BECK DEPRESSION INVENTORY - 25 YEARS OF EVALUATION [J].
BECK, AT ;
STEER, RA ;
GARBIN, MG .
CLINICAL PSYCHOLOGY REVIEW, 1988, 8 (01) :77-100
[6]   Attentional biases in ruminators and worriers [J].
Beckwe, Mieke ;
Deroost, Natacha .
PSYCHOLOGICAL RESEARCH-PSYCHOLOGISCHE FORSCHUNG, 2016, 80 (06) :952-962
[7]   A component based noise correction method (CompCor) for BOLD and perfusion based fMRI [J].
Behzadi, Yashar ;
Restom, Khaled ;
Liau, Joy ;
Liu, Thomas T. .
NEUROIMAGE, 2007, 37 (01) :90-101
[8]   Depression, rumination and the default network [J].
Berman, Marc G. ;
Peltier, Scott ;
Nee, Derek Evan ;
Kross, Ethan ;
Deldin, Patricia J. ;
Jonides, John .
SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE, 2011, 6 (05) :548-555
[9]   Attentional biases for negative information in induced and naturally occurring dysphoria [J].
Bradley, BP ;
Mogg, K ;
Lee, SC .
BEHAVIOUR RESEARCH AND THERAPY, 1997, 35 (10) :911-927
[10]   The Chronnectome: Time-Varying Connectivity Networks as the Next Frontier in fMRI Data Discovery [J].
Calhoun, Vince D. ;
Miller, Robyn ;
Pearlson, Godfrey ;
Adali, Tulay .
NEURON, 2014, 84 (02) :262-274