Evidence map›Paper›PMID 34485905›Full record

ArticleBrain communications2021

Dissociable effects of age and Parkinson's disease on instruction-based learning.

Beth L Parkin, Richard E Daws, Ines Das-Neves, Ines R Violante, Eyal Soreq, A Aldo Faisal, Stefano Sandrone, Nicholas P Lao-Kaim, Antonio Martin-Bastida, Andreas-Antonios Roussakis and 2 more

Open access · goldAbstract read
In one paragraph

Article in Brain communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 52% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

12 authors at 6 institutions in 2 countries.

Beth L ParkinDepartment of Psychology, School of Social Science, University of Westminster, 115 New Cavendish Street, London, W1W 6UW, UK.
Richard E DawsThe Cognitive, Computational and Clinical Neuroscience Laboratory, Department of Medicine, Imperial College London, London W120NN, UK.
Ines Das-NevesThe Cognitive, Computational and Clinical Neuroscience Laboratory, Department of Medicine, Imperial College London, London W120NN, UK.
Ines R ViolanteThe Cognitive, Computational and Clinical Neuroscience Laboratory, Department of Medicine, Imperial College London, London W120NN, UK.
Eyal SoreqThe Cognitive, Computational and Clinical Neuroscience Laboratory, Department of Medicine, Imperial College London, London W120NN, UK.
A Aldo FaisalBrain and Behaviour Laboratory, Department of Bioengineering, Imperial College London, London W12 0NN, UK.
Stefano SandroneThe Cognitive, Computational and Clinical Neuroscience Laboratory, Department of Medicine, Imperial College London, London W120NN, UK.
Nicholas P Lao-KaimNeurology Imaging Unit, Division of Neurology, Imperial College London, London W12 0NN, UK.ORCID https://orcid.org/0000-0002-0241-7630
Antonio Martin-BastidaNeurology Imaging Unit, Division of Neurology, Imperial College London, London W12 0NN, UK.
Andreas-Antonios RoussakisNeurology Imaging Unit, Division of Neurology, Imperial College London, London W12 0NN, UK.ORCID https://orcid.org/0000-0001-5748-6978
Paola PicciniNeurology Imaging Unit, Division of Neurology, Imperial College London, London W12 0NN, UK.
Adam HampshireThe Cognitive, Computational and Clinical Neuroscience Laboratory, Department of Medicine, Imperial College London, London W120NN, UK.ORCID https://orcid.org/0000-0002-5176-5420
Imperial College London · GBClinica Universidad de Navarra · ESMRC London Institute of Medical Sciences · GBUK Dementia Research Institute · GBUniversity of Surrey · GBUniversity of Westminster · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cognitive deficits associated with Parkinson's disease vary across individuals and change across time, with implications for prognosis and treatment. Key outstanding challenges are to define the distinct behavioural characteristics of this disorder and develop diagnostic paradigms that can assess these sensitively in individuals. In a previous study, we measured different aspects of attentional control in Parkinson's disease using an established fMRI switching paradigm. We observed no deficits for the aspects of attention the task was designed to examine; instead those with Parkinson's disease learnt the operational requirements of the task more slowly. We hypothesized that a subset of people with early-to-mid stage Parkinson's might be impaired when encoding rules for performing new tasks. Here, we directly test this hypothesis and investigate whether deficits in instruction-based learning represent a characteristic of Parkinson's Disease. Seventeen participants with Parkinson's disease (8 male; mean age: 61.2 years), 18 older adults (8 male; mean age: 61.3 years) and 20 younger adults (10 males; mean age: 26.7 years) undertook a simple instruction-based learning paradigm in the MRI scanner. They sorted sequences of coloured shapes according to binary discrimination rules that were updated at two-minute intervals. Unlike common reinforcement learning tasks, the rules were unambiguous, being explicitly presented; consequently, there was no requirement to monitor feedback or estimate contingencies. Despite its simplicity, a third of the Parkinson's group, but only one older adult, showed marked increases in errors, 4 SD greater than the worst performing young adult. The pattern of errors was consistent, reflecting a tendency to misbind discrimination rules. The misbinding behaviour was coupled with reduced frontal, parietal and anterior caudate activity when rules were being encoded, but not when attention was initially oriented to the instruction slides or when discrimination trials were performed. Concomitantly, Magnetic Resonance Spectroscopy showed reduced gamma-Aminobutyric acid levels within the mid-dorsolateral prefrontal cortices of individuals who made misbinding errors. These results demonstrate, for the first time, that a subset of early-to-mid stage people with Parkinson's show substantial deficits when binding new task rules in working memory. Given the ubiquity of instruction-based learning, these deficits are likely to impede daily living. They will also confound clinical assessment of other cognitive processes. Future work should determine the value of instruction-based learning as a sensitive early marker of cognitive decline and as a measure of responsiveness to therapy in Parkinson's disease.

Indexed as

fMRIlearningmemoryMRSParkinson’s disease

Identifiers

PMID34485905
PMCPMC8410985
OpenAlexW3164258224

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.