Parkinson’s disease affects the fabrics of time perception

NYU NewsNature Scientific Reports

Abstract

Non-motor symptoms in Parkinson’s Disease (PD) predate motor symptoms and substantially decrease quality of life; however, detection, monitoring, and treatments are unavailable for many of these symptoms. Temporal perception abnormalities in PD are generally attributed to altered Basal Ganglia (BG) function. Present studies are confounded by motor control facilitating movements that are integrated into protocols assessing temporal perception. There is uncertainty regarding the BG’s influence on timing processes of different time scales and how PD therapies affect this perception. In this study, PD patients using Levodopa (n = 25), Deep Brain Stimulation (DBS; n = 6), de novo patients (n = 6), and healthy controls (n = 17) completed a visual temporal perception task in seconds and sub-section timing scales using a computer-generated graphical tool. For all patient groups, there were no impairments seen at the smaller tested magnitudes (using sub-second timing). However, all PD groups displayed significant impairments at the larger tested magnitudes (using interval timing). Neither Levodopa nor DBS therapy led to significant improvements in timing abilities. Levodopa resulted in a strong trend towards impairing timing processes and caused a deterioration in perceptual coherency according to Weber’s Law. It is shown that timing abnormalities in PD occur in the seconds range but do not extend to the sub-second range. Furthermore, observed timing deficits were shown to not be solely caused by motor deficiency. This provides evidence to support internal clock models involving the BG (among other neural regions) in interval timing, and cerebellar control of sub-second timing. This study also revealed significant temporal perception deficits in recently diagnosed PD patients; thus, temporal perception abnormalities might act as an early disease marker, with the graphical tool showing potential for disease monitoring.

 

 

 

Author: Farokh Atashzar Atashzar

Bio: Atashzar is an Assistant Professor of Electrical and Computer Engineering, as well as the Mechanical and Aerospace Engineering at New York University (NYU). He received his Ph.D. in 2016 and has recently joined NYU. His research interests include areas of applied computer science, robotics, neuro-rehabilitation robots, neuroscience, smart prostheses, and human-robot augmentation. His work has been featured in about 30 journal papers, 30 peer-reviewed conference papers, and 2 book chapters. Postdoctoral Journey: Prior to joining NYU, Atashzar was a senior postdoctoral scientist in the Department of Bioengineering, Imperial College, University of London, UK, sponsored by Natural Sciences and Engineering Research Council (NSERC) of Canada. From February 2017 to August 2018, he served as a postdoctoral research associate at Canadian Surgical Technologies and Advanced Robotics (CSTAR) center. Awards: His many awards include the highly-competitive Ontario Graduate Scholarship (OGS) in 2013 and an NSERC Post-Doctoral Fellowship (PDF) in 2018. He was ranked among the top 5 applicants in Canada for the 2018 NSERC PDF competition in the Electrical and Computer Engineering sector.

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