Characterizing Premotor Parkinson's Disease: Clinical Features and Objective Markers
نویسندگان
چکیده
منابع مشابه
Premotor and nonmotor features of Parkinson's disease.
PURPOSE OF REVIEW This review highlights recent advances in premotor and nonmotor features in Parkinson's disease, focusing on these issues in the context of prodromal and early-stage Parkinson's disease. RECENT FINDINGS Although Parkinson's disease patients experience a wide range of nonmotor symptoms throughout the disease course, studies demonstrate that nonmotor features are not solely a ...
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BACKGROUND To evaluate the association between the premotor symptoms and the prognosis of PD. METHODS A total of 1213 patients who were diagnosed of PD from January 2001 to December 2008 were selected from the Taiwan's National Health Insurance Research Database. Patients were traced back to determine the presence of premotor symptoms, including rapid eye movement sleep behavior disorder (RBD...
متن کاملEvaluation of Progression Markers in the Premotor Phase of Parkinson’s Disease: The Progression Markers in the Premotor Phase Study
Background: The clinical diagnosis of Parkinson’s disease (PD) is proposed to be too late for the application of beneficial neuroprotective treatment. Thus, it is important to identify and follow individuals at risk for PD in order to gain knowledge about the prodromal course of the disease. Substantia nigra hyperechogenicity (SN+) has been confirmed as a risk factor for PD and appears promisin...
متن کاملEvaluation of progression markers in the premotor phase of Parkinson's disease: the progression markers in the premotor phase study.
BACKGROUND The clinical diagnosis of Parkinson's disease (PD) is proposed to be too late for the application of beneficial neuroprotective treatment. Thus, it is important to identify and follow individuals at risk for PD in order to gain knowledge about the prodromal course of the disease. Substantia nigra hyperechogenicity (SN+) has been confirmed as a risk factor for PD and appears promising...
متن کاملIdentifying Clinical and Genetic Markers of Human Disease by Classifying Features on Graphs
Identification of clinical and genetic markers of disease can provide crucial information for both disease treatment and etiology. This complex task involves associating high-dimensional patterns such as largescale gene expressions and single nucleotide polymorphisms (SNPs) with disease-related phenotypes using very few samples. We introduce a new graph-based semi-supervised feature classificat...
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ژورنال
عنوان ژورنال: Movement Disorders Clinical Practice
سال: 2014
ISSN: 2330-1619
DOI: 10.1002/mdc3.12062