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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Remediation of depression-related cognitive impairment: cognitive control training as treatment augmentation
Nathan Van den Bergh1, Kristof Hoorelbeke1, Rudi De Raedt1
1a Department of Experimental Clinical and Health Psychology , Ghent University , Ghent , Belgium.
Introduction:
Despite several available evidence-based interventions for major depression relapse, rates remain high and relapse prevention programs are still scarce. To increase effectiveness, novel techniques that target underlying vulnerability factors may be a promising avenue. Depression is associated with impairments in executive functioning, which is in turn associated with poor psychosocial outcomes and more Repetitive Negative Thinking (RNT), a key vulnerability factor for relapse. This paper examines deficits in cognitive control as a potentially modifiable causal mechanism for depression. Areas covered: An overview of studies on the interplay between cognitive control and RNT is presented, assessing the potential of training cognitive control in depressed individuals. Cognitive Control Training (CCT), or other techniques aimed at remediating executive functioning, provides an interesting way to examine the causal status of executive functions in depression-related symptoms, such as emotion regulation and psychosocial functioning. The clinical utility of CCT is assessed. Expert commentary: There is emerging evidence for clinical utility of CCT but more large-scale, longitudinal studies are required. The section discusses how the adaptive Paced Auditory Serial Addition Test (PASAT) can be used as a technique that can be combined with psychological as well as biological interventions, to increase overall effectiveness of treatment for depression.
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