title: Predictive value and reward in implicit classification learning.
abstract: Learning efficacy depends on its emotional context. The contents learned and the feedback received during training tinges this context. The objective here was to investigate the influence of content and feedback on the efficacy of implicit learning and to explore using functional imaging how these factors are processed in the brain. Twenty-one participants completed 150 trials of a probabilistic classification task (predicting sun or rain based on combinations of playing cards). Smileys or frowneys were presented as feedback. In 10 of these subjects, the task was performed during functional magnetic resonance imaging. Card combinations predicting sun were remembered better than those predicting rain. Similarly, positive feedback fortified learning more than negative feedback. The presentation of smileys recruited bilateral nucleus accumbens, sensorimotor cortex, and posterior cingulum more than negative feedback did. The higher the predictive value of a card combination, the more activation was found in the lateral cerebellum. Both context and feedback influence implicit classification learning. Similar to motor skill acquisition, positive feedback during classification learning is processed in part within the sensorimotor cortex, potentially reflecting the activation of a dopaminergic projection to motor cortex (Hosp et al., 2011). Activation of the lateral cerebellum during learning of combinations with high predictive value may reflect the formation of an internal model.
authors.affiliation: Clinical Neurorehabilitation, Department of Neurology, University of Zürich and Rehabilitation Initiative and Technology Center of Zürich, Zürich, Switzerland.
authors.forename: Judith M
authors.initials: JM
authors.lastname: Lam
authors.forename: Tobias
authors.initials: T
authors.lastname: Wächter
authors.forename: Christoph
authors.initials: C
authors.lastname: Globas
authors.forename: Hans-Otto
authors.initials: HO
authors.lastname: Karnath
authors.forename: Andreas R
authors.initials: AR
authors.lastname: Luft
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping / Q000379:methods; D002531:Cerebellum / Q000502:physiology; D004298:Dopamine / Q000502:physiology; D030141:Feedback, Psychological / Q000502:physiology; D005260:Female; D006801:Humans; D007858:Learning / Q000502:physiology*; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D009044:Motor Cortex / Q000502:physiology; D009714:Nucleus Accumbens / Q000502:physiology; D011237:Predictive Value of Tests; D012201:Reward; D013003:Somatosensory Cortex / Q000502:physiology
chemical_list: D004298:Dopamine