DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ruan, Zhongqiang | ko |
dc.contributor.author | Seger, Carol A. | ko |
dc.contributor.author | Yang, Qiong | ko |
dc.contributor.author | Kim, Dongjae | ko |
dc.contributor.author | Lee, Sang Wan | ko |
dc.contributor.author | Chen, Qi | ko |
dc.contributor.author | Peng, Ziwen | ko |
dc.date.accessioned | 2023-06-21T05:00:51Z | - |
dc.date.available | 2023-06-21T05:00:51Z | - |
dc.date.created | 2023-06-21 | - |
dc.date.issued | 2023-05 | - |
dc.identifier.citation | FRONTIERS IN PSYCHIATRY, v.14 | - |
dc.identifier.issn | 1664-0640 | - |
dc.identifier.uri | http://hdl.handle.net/10203/307391 | - |
dc.description.abstract | IntroductionObsessive-compulsive disorder (OCD) is characterized by an imbalance between goal-directed and habitual learning systems in behavioral control, but it is unclear whether these impairments are due to a single system abnormality of the goal-directed system or due to an impairment in a separate arbitration mechanism that selects which system controls behavior at each point in time. MethodsA total of 30 OCD patients and 120 healthy controls performed a 2-choice, 3-stage Markov decision-making paradigm. Reinforcement learning models were used to estimate goal-directed learning (as model-based reinforcement learning) and habitual learning (as model-free reinforcement learning). In general, 29 high Obsessive-Compulsive Inventory-Revised (OCI-R) score controls, 31 low OCI-R score controls, and all 30 OCD patients were selected for the analysis. ResultsObsessive-compulsive disorder (OCD) patients showed less appropriate strategy choices than controls regardless of whether the OCI-R scores in the control subjects were high (p = 0.012) or low (p < 0.001), specifically showing a greater model-free strategy use in task conditions where the model-based strategy was optimal. Furthermore, OCD patients (p = 0.001) and control subjects with high OCI-R scores (H-OCI-R; p = 0.009) both showed greater system switching rather than consistent strategy use in task conditions where model-free use was optimal. ConclusionThese findings indicated an impaired arbitration mechanism for flexible adaptation to environmental demands in both OCD patients and healthy individuals reporting high OCI-R scores. | - |
dc.language | English | - |
dc.publisher | FRONTIERS MEDIA SA | - |
dc.title | Impairment of arbitration between model-based and model-free reinforcement learning in obsessive-compulsive disorder | - |
dc.type | Article | - |
dc.identifier.wosid | 001003087800001 | - |
dc.identifier.scopusid | 2-s2.0-85161467302 | - |
dc.type.rims | ART | - |
dc.citation.volume | 14 | - |
dc.citation.publicationname | FRONTIERS IN PSYCHIATRY | - |
dc.identifier.doi | 10.3389/fpsyt.2023.1162800 | - |
dc.contributor.localauthor | Lee, Sang Wan | - |
dc.contributor.nonIdAuthor | Ruan, Zhongqiang | - |
dc.contributor.nonIdAuthor | Seger, Carol A. | - |
dc.contributor.nonIdAuthor | Yang, Qiong | - |
dc.contributor.nonIdAuthor | Kim, Dongjae | - |
dc.contributor.nonIdAuthor | Chen, Qi | - |
dc.contributor.nonIdAuthor | Peng, Ziwen | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | obsessive-compulsive disorder | - |
dc.subject.keywordAuthor | goal-directed system | - |
dc.subject.keywordAuthor | habitual system | - |
dc.subject.keywordAuthor | model-based reinforcement learning | - |
dc.subject.keywordAuthor | model-free reinforcement learning | - |
dc.subject.keywordAuthor | arbitration system | - |
dc.subject.keywordPlus | AVOIDANCE HABITS | - |
dc.subject.keywordPlus | UNCERTAINTY | - |
dc.subject.keywordPlus | VALIDATION | - |
dc.subject.keywordPlus | INVENTORY | - |
dc.subject.keywordPlus | BEHAVIOR | - |
dc.subject.keywordPlus | SYSTEMS | - |
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