Joint models reveal human subcortical underpinnings of choice and learning behaviour
Copyright policy )Joint models reveal human subcortical underpinnings of choice and learning behaviour
AbstractDecision 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.
- Maastricht University Netherlands
- University of Amsterdam Netherlands
- Leiden University Netherlands
- Norwegian University of Science and Technology Norway
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
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
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!