Literature DB >> 19221310

Can we image premotor Parkinson disease?

Kenneth Marek1, Danna Jennings.   

Abstract

Pathology and imaging studies have shown that patients with Parkinson disease (PD) have a prolonged period of uncertain duration when vulnerable neuronal populations are degenerating, but typical motor symptoms have not yet developed. This provides both an opportunity-it may be best to test new medications and, ultimately, treat PD patients during this early phase of disease--and a challenge--how to find these premotor PD subjects? Imaging biomarkers targeting the premotor period are critical to elucidate both the onset and progression of premotor PD. Widespread data have demonstrated that dopaminergic imaging can detect PD subjects at the motor symptom threshold. Novel strategies combining dopaminergic imaging with known genetic mutations for PD or early clinical signs and PD-associated symptoms, such as olfactory loss and sleep disturbances like REM behavior disorder, have begun to be used to identify individuals at risk for PD before motor symptoms become manifest. Early studies also have used imaging targeting norepinephrine, serotonin, cholinergic, or other neuronal systems to focus on early cardiac, cognitive, and behavioral symptoms. Imaging of nondopaminergic targets such as inflammation or alpha-synuclein deposition may provide further insight into the etiology of PD. Given the multiple genetic etiologies for PD already identified, the marked variability in the loss of dopaminergic markers measured by imaging at motor symptom onset, and the clear heterogeneity of clinical symptoms at PD onset, it is certain that many imaging biomarkers with a focus ranging from clinical symptoms to PD pathobiology to molecular genetic mechanisms, will be necessary to fully map PD risk.

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Year:  2009        PMID: 19221310     DOI: 10.1212/WNL.0b013e318198df97

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  29 in total

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4.  Low muscle strength in late adolescence and Parkinson disease later in life.

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5.  Clinical characteristics and peripheral T cell subsets in Parkinson's disease patients with constipation.

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6.  Projection of the prevalence of Parkinson's disease in the coming decades: Revisited.

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7.  Depression and subsequent risk of Parkinson disease: A nationwide cohort study.

Authors:  Helena Gustafsson; Anna Nordström; Peter Nordström
Journal:  Neurology       Date:  2015-05-20       Impact factor: 9.910

8.  A novel computerized algorithm to detect microstructural brainstem pathology in Parkinson's disease using standard 3 Tesla MR imaging.

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9.  Expert testimony at the Food and Drug Administration: who wants the truth?

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Journal:  Narrat Inq Bioeth       Date:  2011

10.  New MRI Biomarkers Advance the Characterization of Parkinson Disease.

Authors:  David A Ziegler; Suzanne Corkin
Journal:  Eur Neurol Rev       Date:  2013
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