Dissociating hippocampal versus basal ganglia contributions to learning and transfer

Catherine E. Myers, Daphna Shohamy, Mark A. Gluck, Steven Grossman, Alan Kluger, Steven Ferris, James Golomb, Geoffrey Schnirman, Ronald Schwartz

Résultat de rechercheexamen par les pairs

177 Citations (Scopus)

Résumé

Based on prior animal and computational models, we propose a double dissociation between the associative learning deficits observed in patients with medial temporal (hippocampal) damage versus patients with Parkinson's disease (basal ganglia dysfunction). Specifically, we expect that basal ganglia dysfunction may result in slowed learning, while individuals with hippocampal damage may learn at normal speed. However, when challenged with a transfer task where previously learned information is presented in novel recombinations, we expect that hippocampal damage will impair generalization but basal ganglia dysfunction will not. We tested this prediction in a group of healthy elderly with mild-to-moderate hippocampal atrophy, a group of patients with mild Parkinson's disease, and healthy controls, using an "acquired equivalence" associative learning task. As predicted, Parkinson's patients were slower on the initial learning but then transferred well, while the hippocampal atrophy group showed the opposite pattern: good initial learning with impaired transfer. To our knowledge, this is the first time that a single task has been used to demonstrate a double dissociation between the associative learning impairments caused by hippocampal versus basal ganglia damage/dysfunction. This finding has implications for understanding the distinct contributions of the medial temporal lobe and basal ganglia to learning and memory.

Langue d'origineEnglish
Pages (de-à)185-193
Nombre de pages9
JournalJournal of Cognitive Neuroscience
Volume15
Numéro de publication2
DOI
Statut de publicationPublished - févr. 15 2003

Financement

Bailleurs de fondsNuméro du bailleur de fonds
National Institute on AgingP30AG008051

    ASJC Scopus Subject Areas

    • Cognitive Neuroscience

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