Dopaminergic drug treatment remediates exaggerated cingulate prediction error responses in obsessive-compulsive disorder

Murray, Graham; Knolle, Franziska; Ersche, Karen D.; Craig, Katy; Abbot, Sanja; Shabbir, Shaila; Fineberg, Naomi; Suckling, John; Sahakian, Barbara J.; Bullmore, Edward T.; Robbins, Trevor W.

doi:10.1101/225938

Cited by 1 publication

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“…This inconsistency may be partially explained by effects of illness duration 36 . In a probabilistic learning paradigm, Murray and colleagues 37 reported that dysfunctions during reward processing in OCD may be of dopaminergic origin, which may be similar to those alterations seen in schizophrenia patients [38][39][40] . Furthermore, in a two-step decision-making task, OCD individuals exhibited more model-free choices in rewarded outcomes and more model-based choices in loss outcomes, with compulsions severity linked to habitual learning of rewarded outcomes and obsessions severity linked to increased choice switching following losses 41 .…”

Section: Introductionmentioning

confidence: 89%

Investigating disorder-specific and transdiagnostic alterations in model-based and model-free decision-making

Knolle,

Sen,

Culbreth

et al. 2023

Preprint

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Alterations in decision-making have been suggested to underlie different psychiatric illnesses, such as major depressive disorder (MDD), obsessive-compulsive disorder (OCD), and schizophrenia. Studies report overlapping and divergent alterations in individuals diagnosed with these disorders, which have been linked to symptoms of the respective disorders. One symptom characterizing all these disorders is impaired decision-making. To facilitate early diagnosis and treatment among these disorders which may also show comorbidities among each other, it is crucial to disentangle alterations in decision-making that are unique to specific disorders, from those that occur across diagnostic boundaries. Recent developments in computational modelling have enabled a mechanistic deconstruction of decision-making processes, facilitating the identification of disorder specific and disorder general alterations. We, therefore, employed two computational modelling approaches on to a two-step Markov decision task in a transdiagnostic cohort combining individuals diagnosed with MDD (N=23), OCD (N=25), and schizophrenia (N=27) to identify disorder specific and disorder general decision-making alterations, and associations with symptoms. The results revealed overall reliance on model-free decision-making behavior across all participants. Additionally, schizophrenia patients showed the lowest learning rate in stage one and highest switching rate (lowest perseverance) compared to all other groups. All patient groups were more random in their response profiles than controls in stage two, with schizophrenia patients revealing highest levels of randomness, while OCD patients were additionally more random in stage one compared to controls and MDD patients. Importantly, the findings revealed a correlation between increased model-free behavior and elevated depressive symptoms, while more model-based choices were linked to lower levels of anhedonia across all patients. Consequently, this study shows noteworthy disorder general and disorder specific decision-making alterations in individuals diagnosed with MDD, OCD, and schizophrenia, suggesting that concurrent alterations and symptoms might potentially have common underlying behavioral mechanisms.

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Section: Introductionmentioning

confidence: 89%

Investigating disorder-specific and transdiagnostic alterations in model-based and model-free decision-making

Knolle,

Sen,

Culbreth

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

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Dopaminergic drug treatment remediates exaggerated cingulate prediction error responses in obsessive-compulsive disorder

Abstract: (word count 244)Background: Patients with obsessive-compulsive disorder (OCD) have been found to show

Cited by 1 publication

References 65 publications

Investigating disorder-specific and transdiagnostic alterations in model-based and model-free decision-making

Investigating disorder-specific and transdiagnostic alterations in model-based and model-free decision-making

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