Cognitive Performance in Parkinson's Disease in the Brain Health Registry - PubMed (original) (raw)

Cognitive Performance in Parkinson's Disease in the Brain Health Registry

Brenna Cholerton et al. J Alzheimers Dis. 2019.

Abstract

The study of cognition in Parkinson's disease (PD) traditionally requires exhaustive recruitment strategies. The current study examines data collected by the Brain Health Registry (BHR) to determine whether ongoing efforts to improve the recruitment base for therapeutic trials in Alzheimer's disease may be similarly effective for PD research, and whether online cognitive measurements can discriminate between participants who do and do not report a PD diagnosis. Participants enrolled in the BHR (age ≥50) with self-reported PD data and online cognitive testing available were included (n = 11,813). Associations between baseline cognitive variables and diagnostic group were analyzed using logistic regression. Linear mixed effects models were used to analyze longitudinal data. A total of 634 participants reported PD diagnosis at baseline with no self-reported cognitive impairment and completed cognitive testing. Measures of visual learning and memory, processing speed, attention, and working memory discriminated between self-reported PD and non-PD participants after correcting for multiple comparisons (p values < 0.006). Scores on all cognitive tests improved over time in PD and controls with the exception of processing speed, which remained stable in participants with PD while improving in those without. We demonstrate that a novel online approach to recruitment and longitudinal follow-up of study participants is effective for those with self-reported PD, and that significant differences exist between those with and without a reported diagnosis of PD on computerized cognitive measures. These results have important implications for recruitment of participants with PD into targeted therapeutic trials or large-scale genetic and cognitive studies.

Keywords: Aging; Parkinson’s disease; cognition; neuropsychology; patient selection; registries.

PubMed Disclaimer

Conflict of interest statement

CONFLICT OF INTEREST/ DISCLOSURE STATEMENT

All authors have materially participated in the research and/or article preparation (see roles, below). All authors have approved the final submitted article. This article represents original work by the authors, has not been published elsewhere, and is not under consideration for publication elsewhere.

Dr. Ashford is an unpaid consultant for MemTrax, LLC. All other authors report no direct conflict of interest related to the work on this manuscript.

Figures

Figure 1.

Figure 1.

Longitudinal performance on Brain Health Registry cognitive measures for PD and non-PD participants.

References

    1. Biundo R, Fiorenzato E, Antonini A (2017) Nonmotor Symptoms and Natural History of Parkinson’s Disease: Evidence From Cognitive Dysfunction and Role of Noninvasive Interventions. Int Rev Neurobiol 133, 389–415. -PubMed
    1. Macleod AD, Counsell CE (2016) Predictors of functional dependency in Parkinson’s disease. Mov Disord 31, 1482–1488. -PMC -PubMed
    1. LaBelle DR, Walsh RR, Banks SJ (2017) Latent Cognitive Phenotypes in De Novo Parkinson’s Disease: A Person-Centered Approach. J Int Neuropsychol Soc 23, 551–563. -PMC -PubMed
    1. Cholerton B, Larson EB, Quinn JF, Zabetian CP, Mata IF, Keene CD, Flanagan M, Crane PK, Grabowski TJ, Montine KS, Montine TJ (2016) Precision Medicine: Clarity for the Complexity of Dementia. Am J Pathol 186, 500–506. -PMC -PubMed
    1. Crane PK, Gibbons LE, Dams-O’Connor K, Trittschuh E, Leverenz JB, Keene CD, Sonnen J, Montine TJ, Bennett DA, Leurgans S, Schneider JA, Larson EB (2016) Association of Traumatic Brain Injury With Late-Life Neurodegenerative Conditions and Neuropathologic Findings. JAMA Neurol 73, 1062–1069. -PMC -PubMed

Publication types

MeSH terms

LinkOut - more resources