Evidence map›Paper›PMID 24376416›Full record

ArticleFrontiers in computational neuroscience2013

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

Claire O'Callaghan, Ahmed A Moustafa, Sanne de Wit, James M Shine, Trevor W Robbins, Simon J G Lewis, Michael Hornberger

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in computational neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Altered reward processing underpins emotional apathy in dementia.Cognitive, affective & behavioral neuroscience · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 6 institutions in 3 countries.

Claire O'CallaghanNeuroscience Research Australia Sydney, NSW, Australia ; Faculty of Medicine, School of Medical Sciences, University of New South Wales Sydney, NSW, Australia.
Ahmed A MoustafaSchool of Social Sciences and Psychology and the Marcs Institute for Brain and Behaviour, University of Western Sydney Sydney, NSW, Australia.
Sanne de WitCognitive Science Center Amsterdam and Department of Clinical Psychology, University of Amsterdam Amsterdam, Netherlands.
James M ShineParkinson's Disease Clinic, Brain and Mind Research Institute, University of Sydney Sydney, NSW, Australia.
Trevor W RobbinsDepartment of Psychology, Behavioural and Clinical Neuroscience Institute, University of Cambridge Cambridge, UK.
Simon J G LewisParkinson's Disease Clinic, Brain and Mind Research Institute, University of Sydney Sydney, NSW, Australia.
Michael HornbergerNeuroscience Research Australia Sydney, NSW, Australia ; Faculty of Medicine, School of Medical Sciences, University of New South Wales Sydney, NSW, Australia ; ARC Centre of Excellence in Cognition and its Disorders Sydney, NSW, Australia ; Department of Clinical Neurosciences, University of Cambridge Cambridge, UK.
University of Sydney · AUNeuroscience Research Australia · AUUniversity of Amsterdam · NLUniversity of Cambridge · GBUNSW Sydney · AUWestern Sydney University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

computational modelingdiscrimination learningfronto-striatalgoal-directed learningParkinson's diseasevoxel-based morphometry

Identifiers

PMID24376416
PMCPMC3859902
OpenAlexW2115979223

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.