M
Michael R. MacAskill
Researcher at University of Otago
Publications - 76
Citations - 4628
Michael R. MacAskill is an academic researcher from University of Otago. The author has contributed to research in topics: Dementia & Saccadic masking. The author has an hindex of 20, co-authored 69 publications receiving 2988 citations.
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Journal ArticleDOI
PsychoPy2: Experiments in behavior made easy
Jonathan W. Peirce,Jeremy R. Gray,Sol Simpson,Michael R. MacAskill,Richard Höchenberger,Hiroyuki Sogo,Erik K. Kastman,Jonas Kristoffer Lindeløv +7 more
TL;DR: The most notable addition has been that Builder interface, allowing users to create studies with minimal or no programming, while also allowing the insertion of Python code for maximal flexibility.
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The MoCA: Well-suited screen for cognitive impairment in Parkinson disease
John C. Dalrymple-Alford,Michael R. MacAskill,Christos T. Nakas,Leslie Livingston,C Graham,G.P. Crucian,Tracy R. Melzer,J. Kirwan,R Keenan,S. Wells,Richard J Porter,Richard Watts,Tim J. Anderson +12 more
TL;DR: The MoCA is a suitably accurate, brief test when screening all levels of cognition in Parkinson disease, by comparison with a PD-focused test and the standardized Mini-Mental State Examination as benchmarks.
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Eye movements in patients with neurodegenerative disorders
TL;DR: The oculomotor features of the major age-related movement disorders, including Parkinson disease, Huntington disease, dementia and other neurodegenerative disorders are described and findings in presymptomatic individuals and changes associated with disease progression are discussed.
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Grey matter atrophy in cognitively impaired Parkinson's disease
Tracy R. Melzer,Richard Watts,Michael R. MacAskill,Toni L. Pitcher,Leslie Livingston,Ross Keenan,John C. Dalrymple-Alford,Tim J. Anderson +7 more
TL;DR: Grey matter atrophy occurs in PD with dementia but far less extensive changes are evident in PD-MCI, while grey matter loss in PD correlated with global cognitive score but not motor impairment in most of these regions.
Journal ArticleDOI
The timing mega-study: comparing a range of experiment generators, both lab-based and online.
TL;DR: A wide-ranging study looking at the precision and accuracy of visual and auditory stimulus timing and response times, measured with a Black Box Toolkit, which highlights the wide range of timing qualities that can occur even in these dedicated software packages for the task.