Fronto-striatal gray matter contributions to discrimination learning in Parkinson's disease
Fronto-striatal gray matter contributions to discrimination learning in Parkinson's disease
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.
O'Callaghan, Claire
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Moustafa, Ahmed A.
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de Wit, Sanne
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Shine, James M.
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Robbins, Trevor W.
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Lewis, Simon J. G.
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Hornberger, Michael
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12 December 2013
O'Callaghan, Claire
536605c1-825e-43a5-952e-821973707751
Moustafa, Ahmed A.
70340b43-2551-42e3-a27e-7b8c1867653a
de Wit, Sanne
2744f988-3702-47d9-9a24-96c4c8245146
Shine, James M.
a6a8a03b-6258-4cb3-9a10-065de662bae2
Robbins, Trevor W.
20dd57dd-dbf3-4aaa-b7ba-bb4387ffcbc7
Lewis, Simon J. G.
d108874c-2f44-43a8-b3a2-694bc7d2d6c0
Hornberger, Michael
a48c1c63-422a-4c11-9a51-c7be0aa3026d
O'Callaghan, Claire, Moustafa, Ahmed A., de Wit, Sanne, Shine, James M., Robbins, Trevor W., Lewis, Simon J. G. and Hornberger, Michael
(2013)
Fronto-striatal gray matter contributions to discrimination learning in Parkinson's disease.
Frontiers in Computational Neuroscience, 7 (180).
(doi:10.3389/fncom.2013.00180).
Abstract
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.
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fncom-07-00180 (1)
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Published date: 12 December 2013
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Local EPrints ID: 505215
URI: http://eprints.soton.ac.uk/id/eprint/505215
ISSN: 1662-5188
PURE UUID: 43a6a305-e77c-47ba-8fd1-5f2520aacc72
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Date deposited: 01 Oct 2025 16:53
Last modified: 02 Oct 2025 02:19
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Author:
Claire O'Callaghan
Author:
Ahmed A. Moustafa
Author:
Sanne de Wit
Author:
James M. Shine
Author:
Trevor W. Robbins
Author:
Simon J. G. Lewis
Author:
Michael Hornberger
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