The Default Mode Network and Recurrent Depression: A Neurobiological Model of Cognitive Risk Factors

被引:217
作者
Marchetti, Igor [1 ]
Koster, Ernst H. W. [1 ]
Sonuga-Barke, Edmund J. S. [1 ,2 ]
De Raedt, Rudi [1 ]
机构
[1] Univ Ghent, Dept Expt Clin & Hlth Psychol, B-9000 Ghent, Belgium
[2] Univ Southampton, Sch Psychol, Dev Brain Behav Lab, Inst Disorders Impulse & Attent, Southampton, Hants, England
关键词
Depression; Default mode network; Vulnerability; Rumination; Attention; Cognitive reactivity; DORSOLATERAL PREFRONTAL CORTEX; STATE FUNCTIONAL CONNECTIVITY; ANTERIOR CINGULATE; MAJOR DEPRESSION; EMOTIONAL INFORMATION; ATTENTIONAL BIAS; RESPONSE STYLES; WORKING-MEMORY; BRAIN NETWORKS; GLOBAL SIGNAL;
D O I
10.1007/s11065-012-9199-9
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
A neurobiological account of cognitive vulnerability for recurrent depression is presented based on recent developments of resting state neural networks. We propose that alterations in the interplay between task positive (TP) and task negative (TN) elements of the Default Mode Network (DMN) act as a neurobiological risk factor for recurrent depression mediated by cognitive mechanisms. In the framework, depression is characterized by an imbalance between TN-TP components leading to an overpowering of TP by TN activity. The TN-TP imbalance is associated with a dysfunctional internally-focused cognitive style as well as a failure to attenuate TN activity in the transition from rest to task. Thus we propose the TN-TP imbalance as overarching neural mechanism involved in crucial cognitive risk factors for recurrent depression, namely rumination, impaired attentional control, and cognitive reactivity. During remission the TN-TP imbalance persists predisposing to vulnerability of recurrent depression. Empirical data to support this model is reviewed. Finally, we specify how this framework can guide future research efforts.
引用
收藏
页码:229 / 251
页数:23
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