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William G. Ondo
Researcher at Cornell University
Publications - 254
Citations - 22284
William G. Ondo is an academic researcher from Cornell University. The author has contributed to research in topics: Restless legs syndrome & Essential tremor. The author has an hindex of 74, co-authored 242 publications receiving 20124 citations. Previous affiliations of William G. Ondo include Baylor College of Medicine & Houston Methodist Hospital.
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Journal ArticleDOI
Pallidotomy for generalized dystonia
TL;DR: It is concluded that pallidotomy is a safe and effective treatment in medically refractory cases of generalized dystonia.
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Genomewide Linkage Scan Identifies a Novel Susceptibility Locus for Restless Legs Syndrome on Chromosome 9p
Shenghan Chen,Shenghan Chen,William G. Ondo,Shaoqi Rao,Shaoqi Rao,Lin Li,Lin Li,Qiuyun Chen,Qing Wang,Qing Wang +9 more
TL;DR: RLS is established as a highly heritable trait, a novel genetic locus for RLS is identified, and the assumption of an autosomal-dominant mode of inheritance is validated, which will facilitate further cloning and identification of the genes.
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Short-term and long-term safety of deep brain stimulation in the treatment of movement disorders
Christopher Kenney,Richard K. Simpson,Christine Hunter,William G. Ondo,Michael Almaguer,Anthony Davidson,Joseph Jankovic +6 more
TL;DR: DBS has proven to be safe for the treatment of medically refractory movement disorders in a large population of patients with a variety of movement disorders.
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Restless legs syndrome in monozygotic twins: Clinical correlates
TL;DR: To better understand genetic characteristics of restless legs syndrome (RLS) and identify nongenetic factors that may influence phenotype, the authors studied 12 identical twins in which at least one member expressed RLS.
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Long-term monitoring of gait in Parkinson's disease
TL;DR: The small, variable stride length characteristic of Parkinsonian gait, and fluctuations of efficacy associated with levodopa therapy, such as delayed onset, wearing off, and the 'off/on' effect, could reliably be detected from long-term changes in stride length.