The cats-and-dogs test: a tool to identify visuoperceptual deficits in Parkinson's disease

Rimona S. Weil*, Katerina Pappa, Rachel N. Schade, Anette E. Schrag, Bahador Bahrami, Dietrich S. Schwarzkopf, Sebastian J. Crutch, Aidan G. O'Keeffe, Huw R. Morris

*Corresponding author for this work

Research output: Contribution to journalLetterpeer-review

23 Citations (Scopus)
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Abstract

There are no robust features to predict which patients with Parkinson’s disease (PD) will develop dementia. Those with involvement of visual processing regions are at highest risk of dementia.1-3 However, current measures of visuoperception are poorly sensitive.4 We have developed a sensitive test of visuoperception based on the clinical observation that patients with PD have difficulty reading distorted CAPTCHA (completely automated public Turing test to tell computers and humans
apart) images
Original languageEnglish
Pages (from-to)1789-1790
Number of pages2
JournalMovement Disorders
Volume32
Issue number12
Early online date4 Oct 2017
DOIs
Publication statusPublished - 31 Dec 2017

Funding

Funding agencies: UCL Excellence Fellowship, Academy of Medical Sciences, UCLH Biomedical Research Centre Grant, European Research Council (ERC) starting grant NEUROCODEC (309865); ERC starting grant WMOSPOTWU (310829); ESRC/NIHR (ES/L001810/1), EPSRC(EP/ M006093/1), Alzheimer’s Research UK Senior Research Fellowship (ARUK-SRF2013-8); Wellcome Trust (106882/Z/15/Z); Medical Research Council UK, Parkinson’s UK, Ipsen Fund, Motor Neurone Disease Association, Welsh Assembly Government, PSP Association, CBD Solutions and Drake Foundation, Economic and Social Research Council, GE Healthcare, and the Movement Disorders Society.

Keywords

  • biomarker
  • cognition
  • dementia
  • Parkinson's disease
  • vision

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