Characterizing Mild Cognitive Impairment in Incident Parkinson Disease: The ICICLE-PD Study

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Yarnall, Alison J
Breen, David P
Duncan, Gordon W
Khoo, Tien K
Coleman, Shirley Y
Firbank, Michael J
Nombela, Cristina
Winder-Rhodes, Sophie
Evans, Jonathan R
Rowe, James B
Mollenhauer, Brit
Kruse, Niels
Hudson, Gavin
Chinnery, Patrick F
O'Brien, John T
Robbins, Trevor W
Wesnes, Keith
Brooks, David J
Barker, Roger A
Burn, David J
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2014
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Abstract

Objective: To describe the frequency of mild cognitive impairment (MCI) in Parkinson disease (PD) in a cohort of newly diagnosed incident PD cases and the associations with a panel of biomarkers. Methods: Between June 2009 and December 2011, 219 subjects with PD and 99 age-matched controls participated in clinical and neuropsychological assessments as part of a longitudinal observational study. Consenting individuals underwent structural MRI, lumbar puncture, and genotyping for common variants of COMT, MAPT, SNCA, BuChE, EGF, and APOE. PD-MCI was defined with reference to the new Movement Disorder Society criteria. Results: The frequency of PD-MCI was 42.5% using level 2 criteria at 1.5 SDs below normative values. Memory impairment was the most common domain affected, with 15.1% impaired at 1.5 SDs. Depression scores were significantly higher in those with PD-MCI than the cognitively normal PD group. A significant correlation was found between visual Pattern Recognition Memory and cerebrospinal ߭amyloid 1-42 levels (ߠstandardized coefficient = 0.350; p = 0.008) after controlling for age and education in a linear regression model, with lower ߭amyloid 1-42 and 1-40 levels observed in those with PD-MCI. Voxel-based morphometry did not reveal any areas of significant gray matter loss in participants with PD-MCI compared with controls, and no specific genotype was associated with PD-MCI at the 1.5-SD threshold. Conclusions: In a large cohort of newly diagnosed PD participants, PD-MCI is common and significantly correlates with lower cerebrospinal ߭amyloid 1-42 and 1-40 levels. Future longitudinal studies should enable us to determine those measures predictive of cognitive decline.

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Neurology

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82

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4

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Clinical sciences

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Cognitive and computational psychology

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