Literature DB >> 15904539

Rule-based category learning is impaired in patients with Parkinson's disease but not in patients with cerebellar disorders.

W Todd Maddox1, Paul Aparicio, Natalie L Marchant, Richard B Ivry.   

Abstract

The basal ganglia and cerebellum have both been implicated in motor skill acquisition. Recent hypotheses concerning cognitive functions of the basal ganglia and cerebellum have emphasized that these subcortical structures may also contribute to nonmotor learning. To explore this issue, patients with Parkinson's disease (PD) and patients with cerebellar lesions (CB) were tested on two category-learning tasks. Identical stimulus displays were used for the two tasks, consisting of a reference line and target line. In the length task, the two categories were defined based on the length of the target line. In the distance task, the two categories were defined by the distance between the target and reference lines. Thus, both categories could be defined by a simple rule in which attention must be restricted to a single relevant dimension. Consistent with previous results, the patients with PD were impaired on both tasks compared with neurologically healthy controls. In contrast, the CB patients performed similar to the control participants. Model-based analyses indicate that the patients with PD were able to select the appropriate categorization rule, but that they adopted suboptimal category boundaries in both conditions and were more variable in the application of the selected rule. These results provide an important neuropsychological dissociation on a non-motor-learning task between the effects of basal ganglia and cerebellar lesions. Moreover, the modeling work suggests that at least part of the Parkinson patients' impairment on these tasks reflect a tendency to exhibit strong response biases.

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Year:  2005        PMID: 15904539     DOI: 10.1162/0898929053747630

Source DB:  PubMed          Journal:  J Cogn Neurosci        ISSN: 0898-929X            Impact factor:   3.225


  12 in total

1.  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

2.  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

3.  Executive function in Parkinson's disease: contributions of the dorsal frontostriatal pathways to action and motivation.

Authors:  Susan M Ravizza; John Goudreau; Mauricio R Delgado; Sandra Ruiz
Journal:  Cogn Affect Behav Neurosci       Date:  2012-03       Impact factor: 3.282

4.  Reduced phonological similarity effects in patients with damage to the cerebellum.

Authors:  Timothy Justus; Susan M Ravizza; Julie A Fiez; Richard B Ivry
Journal:  Brain Lang       Date:  2005-11       Impact factor: 2.381

Review 5.  Rule-based category learning in patients with Parkinson's disease.

Authors:  Amanda Price; J Vincent Filoteo; W Todd Maddox
Journal:  Neuropsychologia       Date:  2009-02-02       Impact factor: 3.139

Review 6.  Quantitative modeling of category learning deficits in various patient populations.

Authors:  J Vincent Filoteo; W Todd Maddox; F Gregory Ashby
Journal:  Neuropsychology       Date:  2017-11       Impact factor: 3.295

7.  Cerebellar pathology does not impair performance on identification or categorization tasks.

Authors:  Shawn W Ell; Richard B Ivry
Journal:  J Int Neuropsychol Soc       Date:  2008-09       Impact factor: 2.892

8.  Specific impairments in the recognition of emotional facial expressions in Parkinson's disease.

Authors:  Uraina S Clark; Sandy Neargarder; Alice Cronin-Golomb
Journal:  Neuropsychologia       Date:  2008-03-30       Impact factor: 3.139

9.  Network changes in the transition from initial learning to well-practiced visual categorization.

Authors:  Joe DeGutis; Mark D'Esposito
Journal:  Front Hum Neurosci       Date:  2009-11-12       Impact factor: 3.169

10.  Seeking a unified framework for cerebellar function and dysfunction: from circuit operations to cognition.

Authors:  Egidio D'Angelo; Stefano Casali
Journal:  Front Neural Circuits       Date:  2013-01-10       Impact factor: 3.492

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