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Daytime Sleepiness and Fatigue Associated with Cognitive Impairment

A recent publication in the journal Parkinsonism and Related Disorders used PPMI data to find that more severe daytime sleepiness and fatigue are associated with greater cognitive impairment. The study's researchers used PPMI data as well as data from two other studies in order to examine this relationship across the different stages of Parkinson's.

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First Longitudinal Findings: Psychiatric Symptoms More Common in Untreated PD Patients than Controls

The first longitudinal findings from PPMI have been published. Researchers from the University of Pennsylvania affiliated with PPMI published in the journal Neurology that depression, anxiety and fatigue are more common in newly diagnosed Parkinson?s disease patients compared to the general population.

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Publication Associates RBD with Worse Motor Symptoms in PD

New research from Johns Hopkins University using PPMI baseline data from Parkinson's patients has found that those experiencing REM sleep behavior disorder (RBD) symptoms have more severe motor symptoms than patients without RBD. The findings were published in the journal Tremor and Other Hyperkinetic Movements.

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Research Using PPMI Data Examines Cortical Thinning and Initial Cognitive Decline in Early Parkinson’s (Neurology)

Neurology published research investigating the link between cortical thinning and cognitive decline in early Parkinson?s disease using the PPMI data. Daniel Weintraub, PhD, the chair of the PPMI Cognitive/Behavioral Working Group, co-authored the paper.

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First study results featured in USA Today, Time, & Medscape

The first major study results from PPMI were recently highlighted in several national news outlets. USA Today, Time, and Medscape featured the study, which was published in the journal JAMA Neurology. Researchers sought to evaluate the baseline characteristics and relationship to clinical features of CSF biomarkers in de novo PD subjects and healthy controls enrolled in PPMI.

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PPMI featured in article on commonalities in PD and AD

Pharmaceutical Approvals Monthly profiled PPMI in an article last month, highlighting the similarities across neurodegenerative diseases like Parkinson's Disease and Alzheimer's Disease. PPMI PI Ken Marek was interviewed for the piece, and the article also focuses on the newly added Prodromal and Genetic Cohorts.

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First major PPMI results published in JAMA Neurology

The first major study results were published in the journal JAMA Neurology. Researchers sought to evaluate the baseline characteristics and relationship to clinical features of CSF biomarkers in de novo PD subjects and healthy controls enrolled in PPMI. They found that measures of CSF A?1-42, T-tau, P-tau181, and ?-synuclein have prognostic and diagnostic potential in early-stage PD. Further investigations using the entire PPMI cohort will test the predictive performance of CSF biomarkers for PD progression.

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New publication on CSF biomarkers features PPMI data

Les Shaw and John Q. Trojanowski, Co-PI's of the PPMI Bioanalytics Core, are co-authors on a paper published in Acta Neuropathologica that used both PPMI and ADNI data to look at correlations between CSF biomarkers and cognitive impairment.

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Researchers Publish First Paper Using PPMI Data

Daniel Weintraub, MD, and a team at the University of Pennsylvania publish the first paper using PPMI data demonstrating that Parkinson's itself does not confer a higher risk for ICDs, supporting other research that suggests the high prevalence of ICDs in people with PD is related to Parkinson's medications, and not the disease itself.

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Screening for impulse control symptoms in patients with de novo Parkinson disease: A case-control study (Neurology)

Dr. Daniel Weintraub analyzes the QUIP data from the PPMI database to assess frequencies of impulse disorders in PD patients and comparing this to control participants. Through his analysis using multivariable models, a diagnosis of PD was not associated with symptoms of any impulse control or related behavior (p ? 0.10 in all cases).

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