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Assessing cognitive dysfunction in Parkinson's disease: An online tool to detect visuo‐perceptual deficits

Overview of attention for article published in Movement Disorders, February 2018
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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61 X users
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2 Facebook pages

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Title
Assessing cognitive dysfunction in Parkinson's disease: An online tool to detect visuo‐perceptual deficits
Published in
Movement Disorders, February 2018
DOI 10.1002/mds.27311
Pubmed ID
Authors

Rimona S. Weil, Dietrich S. Schwarzkopf, Bahador Bahrami, Stephen M. Fleming, Ben M. Jackson, Tristam J. C. Goch, Ayse P. Saygin, Luke E. Miller, Katerina Pappa, Ivanna Pavisic, Rachel N. Schade, Alastair J. Noyce, Sebastian J. Crutch, Aidan G. O'Keeffe, Anette E. Schrag, Huw R. Morris

Abstract

People with Parkinson's disease (PD) who develop visuo-perceptual deficits are at higher risk of dementia, but we lack tests that detect subtle visuo-perceptual deficits and can be performed by untrained personnel. Hallucinations are associated with cognitive impairment and typically involve perception of complex objects. Changes in object perception may therefore be a sensitive marker of visuo-perceptual deficits in PD. We developed an online platform to test visuo-perceptual function. We hypothesised that (1) visuo-perceptual deficits in PD could be detected using online tests, (2) object perception would be preferentially affected, and (3) these deficits would be caused by changes in perception rather than response bias. We assessed 91 people with PD and 275 controls. Performance was compared using classical frequentist statistics. We then fitted a hierarchical Bayesian signal detection theory model to a subset of tasks. People with PD were worse than controls at object recognition, showing no deficits in other visuo-perceptual tests. Specifically, they were worse at identifying skewed images (P < .0001); at detecting hidden objects (P = .0039); at identifying objects in peripheral vision (P < .0001); and at detecting biological motion (P = .0065). In contrast, people with PD were not worse at mental rotation or subjective size perception. Using signal detection modelling, we found this effect was driven by change in perceptual sensitivity rather than response bias. Online tests can detect visuo-perceptual deficits in people with PD, with object recognition particularly affected. Ultimately, visuo-perceptual tests may be developed to identify at-risk patients for clinical trials to slow PD dementia. © 2018 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society.

X Demographics

X Demographics

The data shown below were collected from the profiles of 61 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 90 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 14%
Researcher 11 12%
Student > Bachelor 10 11%
Student > Ph. D. Student 9 10%
Other 8 9%
Other 15 17%
Unknown 24 27%
Readers by discipline Count As %
Neuroscience 26 29%
Medicine and Dentistry 13 14%
Psychology 11 12%
Biochemistry, Genetics and Molecular Biology 2 2%
Nursing and Health Professions 2 2%
Other 9 10%
Unknown 27 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 36. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 June 2018.
All research outputs
#1,073,387
of 24,654,416 outputs
Outputs from Movement Disorders
#185
of 4,975 outputs
Outputs of similar age
#24,442
of 335,184 outputs
Outputs of similar age from Movement Disorders
#11
of 77 outputs
Altmetric has tracked 24,654,416 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,975 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 335,184 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.