Motivation and cognitive control in depression

被引：196

作者：

Grahek, Ivan ^{[1
]}

Shenhav, Amitai ^{[2
,3
]}

Musslick, Sebastian ^{[4
]}

Krebs, Ruth M. ^{[5
]}

Koster, Ernst H. W. ^{[1
]}

机构：

[1] Univ Ghent, Dept Expt Clin & Hlth Psychol, Henri Dunantlaan 2, B-9000 Ghent, Belgium

[2] Brown Univ, Dept Cognit Linguist & Psychol Sci, Providence, RI 02912 USA

[3] Brown Univ, Brown Inst Brain Sci, Providence, RI 02912 USA

[4] Princeton Univ, Princeton Neurosci Inst, Princeton, NJ 07001 USA

[5] Univ Ghent, Dept Expt Psychol, Henri Dunantlaan 2, B-9000 Ghent, Belgium

来源：

NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS | 2019年 / 102卷

基金：

欧洲研究理事会;

关键词：

Depression; Cognitive control; Anhedonia; Motivation; Reward anticipation; Effort; Controllability of environment; ANTERIOR CINGULATE CORTEX; ALTERED BRAIN ACTIVITY; DECISION-MAKING; LEARNED HELPLESSNESS; STRESSOR CONTROLLABILITY; REMITTED DEPRESSION; ATTENTIONAL CONTROL; SYMPTOM DIMENSIONS; EMOTION REGULATION; NEURAL MECHANISMS;

D O I：

10.1016/j.neubiorev.2019.04.011

中图分类号：

B84 [心理学]; C [社会科学总论]; Q98 [人类学];

学科分类号：

03 ; 0303 ; 030303 ; 04 ; 0402 ;

摘要：

Depression is linked to deficits in cognitive control and a host of other cognitive impairments arise as a consequence of these deficits. Despite of their important role in depression, there are no mechanistic models of cognitive control deficits in depression. In this paper we propose how these deficits can emerge from the interaction between motivational and cognitive processes. We review depression-related impairments in key components of motivation along with new cognitive neuroscience models that focus on the role of motivation in the decision-making about cognitive control allocation. Based on this review we propose a unifying framework which connects motivational and cognitive control deficits in depression. This framework is rooted in computational models of cognitive control and offers a mechanistic understanding of cognitive control deficits in depression.

引用

页码：371 / 381

页数：11

共 153 条

[81] Multialternative drift-diffusion model predicts the relationship between visual fixations and choice in value-based decisions [J].

Krajbich, Ian ;

Rangel, Antonio .

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2011, 108 (33) :13852-13857

[82]

Krebs R. M., 2017, The Wiley handbook of cognitive control, P422, DOI [DOI 10.1002/9781118920497.CH24, 10.1002/9781118920497.ch24, 10.1002/9781118920497.ch]

[83] The influence of reward associations on conflict processing in the Stroop task [J].

Krebs, Ruth M. ;

Boehler, Carsten N. ;

Woldorff, Marty G. .

COGNITION, 2010, 117 (03) :341-347

[84] An opportunity cost model of subjective effort and task performance [J].

Kurzban, Robert ;

Duckworth, Angela ;

Kable, Joseph W. ;

Myers, Justus .

BEHAVIORAL AND BRAIN SCIENCES, 2013, 36 (06) :661-679

[85] Born to choose: the origins and value of the need for control [J].

Leotti, Lauren A. ;

Iyengar, Sheena S. ;

Ochsner, Kevin N. .

TRENDS IN COGNITIVE SCIENCES, 2010, 14 (10) :457-463

[86] Motivational Influences on Response Inhibition Measures [J].

Leotti, Lauren A. ;

Wager, Tor D. .

JOURNAL OF EXPERIMENTAL PSYCHOLOGY-HUMAN PERCEPTION AND PERFORMANCE, 2010, 36 (02) :430-447

[87] Updating emotional content in recovered depressed individuals: Evaluating deficits in emotion processing following a depressive episode [J].

Levens, Sara M. ;

Gotlib, Ian H. .

JOURNAL OF BEHAVIOR THERAPY AND EXPERIMENTAL PSYCHIATRY, 2015, 48 :156-163

[88]

Lieder F., 2013, P ANN M COGN SCI SOC, P35

[89] Rational metareasoning and the plasticity of cognitive control [J].

Lieder, Falk ;

Shenhav, Amitai ;

Musslick, Sebastian ;

Griffiths, Thomas L. .

PLOS COMPUTATIONAL BIOLOGY, 2018, 14 (04)

[90] Neural Correlates of Instrumental Contingency Learning: Differential Effects of Action-Reward Conjunction and Disjunction [J].

Liljeholm, Mimi ;

Tricomi, Elizabeth ;

O'Doherty, John P. ;

Balleine, Bernard W. .

JOURNAL OF NEUROSCIENCE, 2011, 31 (07) :2474-2480

← 4 5 6 7 8 9 10 11 12 13 →