Relationships between Cognitive Functions and Driving Behavior in Parkinson’s Disease | Zendy

Maud Ranchet | Zendy; Emmanuel Broussolle | Zendy; Alice Poisson | Zendy; Laurence PaireFicout | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Relationships between Cognitive Functions and Driving Behavior in Parkinson’s Disease

Author(s) -

Maud Ranchet,

Emmanuel Broussolle,

Alice Poisson,

Laurence PaireFicout

Publication year - 2012

Publication title -

european neurology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.573

H-Index - 77

eISSN - 1421-9913

pISSN - 0014-3022

DOI - 10.1159/000338264

Subject(s) - neuropsychology , cognition , executive functions , driving simulator , trail making test , psychology , parkinson's disease , disease , poison control , modalities , cognitive psychology , physical medicine and rehabilitation , medicine , neuroscience , computer science , simulation , medical emergency , pathology , social science , sociology

Alterations in cognitive functions in Parkinson's disease (PD) have been reported even in mild stages of the disease. These functions may play a role in complex daily activities, such as driving. This article provides an overview on the relationships between cognitive functions and driving behavior in PD in driving simulator and on-road studies. The role of attention, executive functions, visual memory, visuospatial construction and information processing speed is discussed. In driving simulator studies, driving performances were correlated with several neuropsychological measures, especially those of Trail Making Test (TMT), Brixton and Symbol Digit Modalities Test. In on-road studies, TMT, Useful Field Of View and Block Design tests appear as good predictors of driving performances. Most of these tests are also relevant to driving in Alzheimer's disease and traumatic brain injury.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research