Dysfunctions of Decision-making and Cognitive Control As Transdiagnostic Mechanisms of Mental Disorders: Advances, Gaps, and Needs in Current Research
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Disadvantageous decision-making and impaired volitional control over actions, thoughts, and emotions are characteristics of a wide range of mental disorders such as addiction, eating disorders, depression, and anxiety disorders and may reflect transdiagnostic core mechanisms and possibly vulnerability factors. Elucidating the underlying neurocognitive mechanisms is a precondition for moving from symptom-based to mechanism-based disorder classifications and ultimately mechanism-targeted interventions. However, despite substantial advances in basic research on decision-making and cognitive control, there are still profound gaps in our current understanding of dysfunctions of these processes in mental disorders. Central unresolved questions are: (i) to which degree such dysfunctions reflect transdiagnostic mechanisms or disorder-specific patterns of impairment; (ii) how phenotypical features of mental disorders relate to dysfunctional control parameter settings and aberrant interactions between large-scale brain systems involved in habit and reward-based learning, performance monitoring, emotion regulation, and cognitive control; (iii) whether cognitive control impairments are consequences or antecedent vulnerability factors of mental disorders; (iv) whether they reflect generalized competence impairments or context-specific performance failures; (v) whether not only impaired but also chronic over-control contributes to mental disorders. In the light of these gaps, needs for future research are: (i) an increased focus on basic cognitive-affective mechanisms underlying decision and control dysfunctions across disorders; (ii) longitudinal-prospective studies systematically incorporating theory-driven behavioural tasks and neuroimaging protocols to assess decision-making and control dysfunctions and aberrant interactions between underlying large-scale brain systems; (iii) use of latent-variable models of cognitive control rather than single tasks; (iv) increased focus on the interplay of implicit and explicit cognitive-affective processes; (v) stronger focus on computational models specifying neurocognitive mechanisms underlying phenotypical expressions of mental disorders.
Halkiopoulos C, Gkintoni E, Aroutzidis A, Antonopoulou H Diagnostics (Basel). 2025; 15(4).
PMID: 40002607 PMC: 11854508. DOI: 10.3390/diagnostics15040456.
Brands A, Mathar D, Peters J Comput Psychiatr. 2025; 9(1):39-62.
PMID: 39959565 PMC: 11827566. DOI: 10.5334/cpsy.101.
Gkintoni E, Michou E Brain Sci. 2025; 14(12).
PMID: 39766433 PMC: 11727489. DOI: 10.3390/brainsci14121234.
Kofler M, Soto E, Singh L, Harmon S, Jaisle E, Smith J Nat Rev Psychol. 2024; 3(10):701-719.
PMID: 39429646 PMC: 11485171. DOI: 10.1038/s44159-024-00350-9.
Concurrent and longitudinal neurostructural correlates of irritability in children.
Archer C, Jeong H, Reimann G, Durham E, Moore T, Wang S Neuropsychopharmacology. 2024; 49(13):2069-2076.
PMID: 39154134 PMC: 11480493. DOI: 10.1038/s41386-024-01966-4.