Literature DB >> 12597080

Category learning deficits in Parkinson's disease.

F Gregory Ashby1, Sharon Noble, J Vincent Filoteo, Elliot M Waldron, Shawn W Ell.   

Abstract

Sixteen patients with Parkinson's disease (PD), 15 older controls (OCs), and 109 younger controls (YCs) were compared in 2 category-learning tasks. Participants attempted to assign colored geometric figures to 1 of 2 categories. In rule-based tasks, category membership was defined by an explicit rule that was easy to verbalize, whereas in information-integration tasks, there was no salient verbal rule and accuracy was maximized only if information from 3 stimulus components was integrated at some predecisional stage. The YCs performed the best on both tasks. The PD patients were highly impaired compared with the OCs, in the rule-based categorization task but were not different from the OCs in the information-integration task. These results support the hypothesis that learning in these 2 tasks is mediated by functionally separate systems.

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Year:  2003        PMID: 12597080

Source DB:  PubMed          Journal:  Neuropsychology        ISSN: 0894-4105            Impact factor:   3.295


  47 in total

1.  Procedural learning in perceptual categorization.

Authors:  F Gregory Ashby; Shawn W Ell; Elliott M Waldron
Journal:  Mem Cognit       Date:  2003-10

2.  Disrupting feedback processing interferes with rule-based but not information-integration category learning.

Authors:  W Todd Maddox; F Gregory Ashby; A David Ing; Alan D Pickering
Journal:  Mem Cognit       Date:  2004-06

Review 3.  The role of the basal ganglia in learning and memory: insight from Parkinson's disease.

Authors:  Karin Foerde; Daphna Shohamy
Journal:  Neurobiol Learn Mem       Date:  2011-09-16       Impact factor: 2.877

4.  A neurocomputational account of cognitive deficits in Parkinson's disease.

Authors:  Sébastien Hélie; Erick J Paul; F Gregory Ashby
Journal:  Neuropsychologia       Date:  2012-06-08       Impact factor: 3.139

5.  Computational Models Inform Clinical Science and Assessment: An Application to Category Learning in Striatal-Damaged Patients.

Authors:  W Todd Maddox; J Vincent Filoteo; Dagmar Zeithamova
Journal:  J Math Psychol       Date:  2010-02-01       Impact factor: 2.223

6.  Compensatory processing during rule-based category learning in older adults.

Authors:  Krishna L Bharani; Ken A Paller; Paul J Reber; Sandra Weintraub; Jorge Yanar; Robert G Morrison
Journal:  Neuropsychol Dev Cogn B Aging Neuropsychol Cogn       Date:  2015-09-30

Review 7.  Models in search of a brain.

Authors:  Bradley C Love; Todd M Gureckis
Journal:  Cogn Affect Behav Neurosci       Date:  2007-06       Impact factor: 3.282

8.  Distinct mechanisms in visual category learning.

Authors:  Joe DeGutis; Mark D'Esposito
Journal:  Cogn Affect Behav Neurosci       Date:  2007-09       Impact factor: 3.282

Review 9.  Basal ganglia and dopamine contributions to probabilistic category learning.

Authors:  D Shohamy; C E Myers; J Kalanithi; M A Gluck
Journal:  Neurosci Biobehav Rev       Date:  2007-08-10       Impact factor: 8.989

10.  Category learning strategies in younger and older adults: Rule abstraction and memorization.

Authors:  Christopher N Wahlheim; Mark A McDaniel; Jeri L Little
Journal:  Psychol Aging       Date:  2016-03-07
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