Cortico-Striatal Contributions to Category Learning: Dissociating the Verbal and Implicit Systems.

To better characterize the neuropsychological mechanisms of implicit and verbalizable category learning, the author studied weather prediction task (WPT) and information integration task (IIT) performance in patients with Parkinson's disease (PD) and healthy older and younger adults. Both older adul...

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Published in:Behavioral Neuroscience Vol. 119; no. 6; pp. 1438 - 1448
Main Author: Price, Amanda L.
Format: Article
Published: American Psychological Association December 2005
Subjects:
Online Access:View this record in EBSCOhost
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      pub: American Psychological Association
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        10.1037/0735-7044.119.6.1438
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        atl: Cortico-Striatal Contributions to Category Learning: Dissociating the Verbal and Implicit Systems.
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        au: Price, Amanda L.
      su:
        Age (Psychology)
        Psychology of learning
        Categorization (Psychology)
        Brain function localization
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          Age (Psychology)
          Psychology of learning
          Categorization (Psychology)
          Brain function localization
      ab: To better characterize the neuropsychological mechanisms of implicit and verbalizable category learning, the author studied weather prediction task (WPT) and information integration task (IIT) performance in patients with Parkinson's disease (PD) and healthy older and younger adults. Both older adults and patients with PD were impaired on the WPT, but only patients were impaired on the IIT, suggesting the 2 tasks rely on dissociable systems. Whereas the IIT appeared to rely on implicit processes, results suggest WPT classification depends on explicit processes. Awareness of underlying structure, hypothesis testing ability, and working memory capacity were all related to accuracy on the WPT but not the IIT. The variability commonly noted in WPT performance may reflect individual differences in hypothesis testing ability. Reprinted by permission of the publisher.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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