Original Research ARTICLE

Front. Comput. Neurosci., 12 December 2013 | doi: 10.3389/fncom.2013.00180

Fronto-striatal gray matter contributions to discrimination learning in Parkinson's disease

  • 1Neuroscience Research Australia, Sydney, NSW, Australia
  • 2Faculty of Medicine, School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
  • 3School of Social Sciences and Psychology and the Marcs Institute for Brain and Behaviour, University of Western Sydney, Sydney, NSW, Australia
  • 4Cognitive Science Center Amsterdam and Department of Clinical Psychology, University of Amsterdam, Amsterdam, Netherlands
  • 5Parkinson's Disease Clinic, Brain and Mind Research Institute, University of Sydney, Sydney, NSW, Australia
  • 6Department of Psychology, Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
  • 7ARC Centre of Excellence in Cognition and its Disorders, Sydney, NSW, Australia
  • 8Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK

Discrimination learning deficits in Parkinson's disease (PD) have been well-established. Using both behavioral patient studies and computational approaches, these deficits have typically been attributed to dopamine imbalance across the basal ganglia. However, this explanation of impaired learning in PD does not account for the possible contribution of other pathological changes that occur in the disease process, importantly including gray matter loss. To address this gap in the literature, the current study explored the relationship between fronto-striatal gray matter atrophy and learning in PD. We employed a discrimination learning task and computational modeling in order to assess learning rates in non-demented PD patients. Behaviorally, we confirmed that learning rates were reduced in patients relative to controls. Furthermore, voxel-based morphometry imaging analysis demonstrated that this learning impairment was directly related to gray matter loss in discrete fronto-striatal regions (specifically, the ventromedial prefrontal cortex, inferior frontal gyrus and nucleus accumbens). These findings suggest that dopaminergic imbalance may not be the sole determinant of discrimination learning deficits in PD, and highlight the importance of factoring in the broader pathological changes when constructing models of learning in PD.

Keywords: Parkinson's disease, discrimination learning, goal-directed learning, computational modeling, voxel-based morphometry, fronto-striatal

Citation: O'Callaghan C, Moustafa AA, de Wit S, Shine JM, Robbins TW, Lewis SJG and Hornberger M (2013) Fronto-striatal gray matter contributions to discrimination learning in Parkinson's disease. Front. Comput. Neurosci. 7:180. doi: 10.3389/fncom.2013.00180

Received: 15 October 2013; Accepted: 25 November 2013;
Published online: 12 December 2013.

Edited by:

Izhar Bar-Gad, Bar-Ilan University, Israel

Reviewed by:

Carol Seger, Colorado State University, USA
Todd Maddox, University of Texas Austin, USA

Copyright © 2013 O'Callaghan, Moustafa, de Wit, Shine, Robbins, Lewis and Hornberger. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Michael Hornberger, Neuroscience Research Australia, Cnr Barker and Easy Street, Randwick, Sydney, NSW 2031, Australia e-mail: m.hornberger@neura.edu.au

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