Results 1 to 10 of about 9,148,887 (427)

Rare coding SNP in DZIP1 gene associated with late-onset sporadic Parkinson's disease [PDF]

open access: yesarXiv, 2011
We present the first application of the hypothesis-rich mathematical theory to genome-wide association data. The Hamza et al. late-onset sporadic Parkinson's disease genome-wide association study dataset was analyzed. We found a rare, coding, non-synonymous SNP variant in the gene DZIP1 that confers increased susceptibility to Parkinson's disease.
A Lerner   +47 more
arxiv   +5 more sources

PhoneMD: Learning to Diagnose Parkinson's Disease from Smartphone Data [PDF]

open access: yesarXiv, 2018
Parkinson's disease is a neurodegenerative disease that can affect a person's movement, speech, dexterity, and cognition. Clinicians primarily diagnose Parkinson's disease by performing a clinical assessment of symptoms. However, misdiagnoses are common.
Karlen, Walter, Schwab, Patrick
arxiv   +3 more sources

A potential biomarker of cognitive impairment: The olfactory dysfunction and its genes expression

open access: yesAnnals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1884-1897, December 2022., 2022
Abstract Objective Accumulation evidence has reported that olfactory impairment may be an essential clinical marker and predictor of mild cognitive impairment or Alzheimer's disease. Method Participants were enrolled in the population‐based, prospective study in Fuxin county, Liaoning province, China between 2019 and 2021.
Jiayi Song   +11 more
wiley   +1 more source

High-Frequency Repetitive Transcranial Magnetic Stimulation Over the Left Dorsolateral Prefrontal Cortex Shortly Alleviates Fatigue in Patients With Multiple System Atrophy: A Randomized Controlled Trial

open access: yesFrontiers in Neurology, 2022
Background: Fatigue is a common symptom in patients with Multiple system atrophy (MSA), but effective treatments remain elusive. The present study aims to investigate whether high-frequency repetitive transcranial magnetic stimulation (rTMS) over the ...
Jing Pan   +10 more
doaj   +1 more source

Identification of a DAGLB Mutation in a Non-Chinese Patient with Parkinson's Disease [PDF]

open access: yesMovement Disorders, 2023, 38 (9), pp.1756-1757, 2023
Liu et al. recently reported that biallelic mutations in DAGLB are responsible for autosomal recessive early-onset Parkinson's disease. They identified six patients carrying DAGLB mutations, all of Chinese origin and presenting with typical Parkinson disease.
arxiv   +1 more source

Case Report: Progressive Asymmetric Parkinsonism Secondary to CADASIL Without Dementia

open access: yesFrontiers in Neurology, 2022
Parkinsonism is a rare phenotype of cerebral autosomal dominant arteriopathy with subcortical infarction and leukoencephalopathy (CADASIL), all of which involve cognitive decline. Normal cognition has not been reported in previous disease studies.
Weihang Guo   +23 more
doaj   +1 more source

Bio‐Mimicking Brain Vasculature to Investigate the Role of Heterogeneous Shear Stress in Regulating Barrier Integrity

open access: yesAdvanced Biology, Volume 6, Issue 12, December 2022., 2022
Fabrication of a lithography‐less Cayley‐tree pattern to generate a blood‐brain barrier‐on‐a‐chip. The shape of the microchannels in the Cayley‐tree pattern is semi‐elliptical with smooth variation in the height of the microchannels from the parent branch to daughter branches.
Ami Mehta   +9 more
wiley   +1 more source

Stability of MDS-UPDRS Motor Subtypes Over Three Years in Early Parkinson's Disease

open access: yesFrontiers in Neurology, 2021
Background: Various classifications have been proposed to subtype Parkinson's disease (PD) based on their motor phenotypes. However, the stability of these subtypes has not been properly evaluated.Objective: The goal of this study was to understand the ...
Abhijeet K. Kohat   +33 more
doaj   +1 more source

Deep Learning Predicts Prevalent and Incident Parkinson's Disease From UK Biobank Fundus Imaging [PDF]

open access: yes, 2023
Parkinson's disease is the world's fastest-growing neurological disorder. Research to elucidate the mechanisms of Parkinson's disease and automate diagnostics would greatly improve the treatment of patients with Parkinson's disease. Current diagnostic methods are expensive and have limited availability.
arxiv   +1 more source

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