Joint models reveal human subcortical underpinnings of choice and learning behaviour
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| Titel: | Joint models reveal human subcortical underpinnings of choice and learning behaviour |
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| Autoren: | Steven Miletić, Niek Stevenson, Pierre-Louis Bazin, Anneke Alkemade, Scott J. S. Isherwood, Anne C. Trutti, Desmond H. Y. Tse, Asta K. Håberg, Birte U. Forstmann |
| Quelle: | Proceedings of the National Academy of Sciences. 122 |
| Verlagsinformationen: | Cold Spring Harbor Laboratory, 2024. |
| Publikationsjahr: | 2024 |
| Schlagwörter: | Male, Adult, Brain Mapping, Learning/physiology, Choice Behavior/physiology, linking propositions, Brain/physiology, Decision Making/physiology, Magnetic Resonance Imaging, Young Adult, error-driven learning, Reward, reinforcement learning evidence accumulation models (RL-EAMs), Models, Neurological, Humans, Female, Bayesian hierarchical estimation |
| Beschreibung: | Decision making and learning processes together enable adaptive goal-oriented behaviour. Animal studies demonstrated the importance of subcortical regions in these cognitive processes, but the human subcortical contributions remain poorly characterised. Here, we study choice and learning processes in the human subcor-tex, using a tailored ultra-high field 7 T fMRI imaging protocol combined with joint models. Joint models provide unbiased estimates of brain-behaviour rela-tions by simultaneously including behavioural and neural data at the participant and group level. Results demonstrate relations between subcortical regions and the adjustment of decision urgency. Value-related BOLD differences were found with opposite BOLD polarity in different parts of the striatum. Multiple sub-cortical regions showed BOLD signatures of reward prediction error processing, but contrary to expectations, these did not include the dopaminergic midbrain. Combined, this study characterises the human subcortical contributions to choice and learning, and demonstrates the feasibility and value of joint modelling in facilitating our understanding of brain-behaviour relationships. |
| Publikationsart: | Article |
| ISSN: | 1091-6490 0027-8424 |
| DOI: | 10.1101/2024.12.20.629647 |
| DOI: | 10.1073/pnas.2502269122 |
| Zugangs-URL: | https://cris.maastrichtuniversity.nl/en/publications/8304c5fc-e679-46bd-b516-613fa895b9e7 https://doi.org/10.1073/pnas.2502269122 |
| Rights: | CC BY NC CC BY NC ND |
| Dokumentencode: | edsair.doi.dedup.....1c8a81f593bbe62f0a60b13e526ee620 |
| Datenbank: | OpenAIRE |
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Nájsť tento článok vo Web of Science | Abstract: | Decision making and learning processes together enable adaptive goal-oriented behaviour. Animal studies demonstrated the importance of subcortical regions in these cognitive processes, but the human subcortical contributions remain poorly characterised. Here, we study choice and learning processes in the human subcor-tex, using a tailored ultra-high field 7 T fMRI imaging protocol combined with joint models. Joint models provide unbiased estimates of brain-behaviour rela-tions by simultaneously including behavioural and neural data at the participant and group level. Results demonstrate relations between subcortical regions and the adjustment of decision urgency. Value-related BOLD differences were found with opposite BOLD polarity in different parts of the striatum. Multiple sub-cortical regions showed BOLD signatures of reward prediction error processing, but contrary to expectations, these did not include the dopaminergic midbrain. Combined, this study characterises the human subcortical contributions to choice and learning, and demonstrates the feasibility and value of joint modelling in facilitating our understanding of brain-behaviour relationships. |
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| ISSN: | 10916490 00278424 |
| DOI: | 10.1101/2024.12.20.629647 |