Results 1 to 10 of about 20,538 (302)

Glossography – a computer vision technique for assessing involuntary tongue movements in dyskinesias [PDF]

open access: yesFrontiers in Neurology
We present a novel computer vision approach using DeepLabCut to objectively quantify orofacial dyskinesias in Parkinson’s disease. Unlike traditional wearable sensors that focus on limb movements, this method tracks tongue, chin, nose, and forehead ...
Maksymilian Aleksander Brzezicki   +14 more
doaj   +2 more sources

Paroxysmal Dyskinesias

open access: yesPediatric Neurology Briefs, 2003
Clinical characteristics of 26 children diagnosed with paroxysmal dyskinesias between 1980 and 2000 were evaluated retrospectively at the National Neurological Institute “C Besta” of Milan, Italy.
J Gordon Millichap
doaj   +3 more sources

Slow oscillatory activity and levodopa-induced dyskinesias in Parkinson's disease [PDF]

open access: yesBrain, 2006
The pathophysiology of levodopa-induced dyskinesias (LID) in Parkinson’s disease is not well understood. We have recorded local field potentials (LFP) from macroelectrodes implanted in the subthalamic nucleus (STN) of 14 patients with Parkinson’s ...
Manuel Alegre   +2 more
exaly   +2 more sources

Paroxysmal Dyskinesias Secondary to HHV‐6A Encephalitis: The First Case Report and Literature Review [PDF]

open access: yesAnnals of Clinical and Translational Neurology
Paroxysmal dyskinesias encompasses a spectrum of conditions marked by intermittent involuntary movements, with paroxysmal kinesigenic dyskinesias being the most common phenotype. Central nervous system infection is a rare cause of paroxysmal dyskinesias.
Zhuoran Wang   +5 more
doaj   +2 more sources

Dopamine 2 receptor ablation from cholinergic neurons attenuates L-DOPA induced dyskinesias [PDF]

open access: yesFrontiers in Aging Neuroscience
IntroductionL-DOPA-induced dyskinesia (LID) formation requires prominent dopamine oscillations over hours, across years of treatment. Striatal cholinergic interneurons (CIN) have been implicated in both the facilitation and attenuation of LID, but how ...
Santiago Uribe-Cano   +5 more
doaj   +2 more sources

The Genetic Relationship between Paroxysmal Movement Disorders and Epilepsy [PDF]

open access: yesAnnals of Child Neurology, 2020
Seizures and movement disorders both involve abnormal movements and are often difficult to distinguish due to their overlapping phenomenology and possible etiological commonalities. Paroxysmal movement disorders, which include three paroxysmal dyskinesia
Hyunji Ahn, Tae-Sung Ko
doaj   +1 more source

Persistent dyskinesias in patients with fetal tissue transplantation for Parkinson disease

open access: yesnpj Parkinson's Disease, 2021
Cell transplants are being developed for patients with Parkinson disease (PD) who have insufficient benefit with standard medical treatment. We describe the clinical features of five patients who developed persistent dyskinesias after fetal dopaminergic ...
Paul E. Greene   +5 more
doaj   +1 more source

AV-101, a Pro-Drug Antagonist at the NMDA Receptor Glycine Site, Reduces L-Dopa Induced Dyskinesias in MPTP Monkeys

open access: yesCells, 2022
N-methyl-D-aspartate (NMDA) receptors have been implicated in L-Dopa-induced dyskinesias (LID) in Parkinson’s disease patients, but the use of antagonists that directly inhibit this receptor is associated with severe side effects. L-4-chlorokynurenine (4-
Mélanie Bourque   +5 more
doaj   +1 more source

Abdominal Wall Dyskinesia in a Child Presenting as Belly Dancers’ Syndrome: A Case Report

open access: yesJournal of Nepal Medical Association, 2023
Belly dancer’s dyskinesia or syndrome is a rare condition characterized by involuntary, undulating, infrequent diaphragm movements. The etiologies for this disorder include nervous system disorders (peripheral or central), drug-induced, psychological ...
Divya KC   +4 more
doaj   +1 more source

Development of a Frailty Detection Model Using Machine Learning with the Korean Frailty and Aging Cohort Study Data [PDF]

open access: yesHealthcare Informatics Research, 2022
Objectives This paper aimed to use machine learning to identify a new group of factors predicting frailty in the elderly population by utilizing the existing frailty criteria as a basis, as well as to validate the obtained results. Methods This study was
Dongjun Koo   +3 more
doaj   +1 more source

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