An Improved Approach for Prediction of Parkinson's Disease using Machine Learning Techniques [PDF]
Parkinson's disease (PD) is one of the major public health problems in the world. It is a well-known fact that around one million people suffer from Parkinson's disease in the United States whereas the number of people suffering from Parkinson's disease worldwide is around 5 million.
arxiv
Disease modifying therapy for multiple system atrophy – Parkinsonian Type [PDF]
BACKGROUND: Multiple System Atrophy –Parkinsonian Type (MSA-P) is a rare, rapidly progressive neurodegenerative disease without any current treatment.
Dwyer, Sean Sullivan
core
Subthalamic Nucleus Oscillatory Characteristics in Meige, Cervical Dystonia and Generalized Dystonia
ABSTRACT Objective Deep brain stimulation offers a unique opportunity to record neural activity of the basal ganglia. While much work in dystonia has focused on the globus pallidus internus, expanding research to investigate subthalamic nucleus (STN) activity in various dystonia types is critical to provide a comprehensive understanding of dystonia ...
Zhu Guan‐Yu+14 more
wiley +1 more source
Demographic and Clinical Profile of Patients with Parkinsonism in Northwestern Nigeria
Introduction: Parkinsonism is a disorder characterised by bradykinesia, rigidity, tremors and postural or gait abnormality of many aetiologies with idiopathic Parkinson’s disease (PD) topping the list of causes.
Halimat Hassan Amin+5 more
doaj +1 more source
Astrocytoma in the Third Ventricle and Hypothalamus Presenting with Parkinsonism [PDF]
Parkinsonism secondary to intracranial mass lesions usually results from compression or distortion of the basal ganglia. Secondary parkinsonism due to midbrain infiltration or compression is rare and generally associated with other neurologic signs ...
Blocq+13 more
core +2 more sources
CSF Tau Is a Biomarker of Hippocampal Injury in Cryptogenic New‐Onset Refractory Status Epilepticus
ABSTRACT Objective Cryptogenic new‐onset refractory status epilepticus (cNORSE) is a devastating condition characterized by the de novo onset of status epilepticus with unclear etiology. The identification of relevant early biomarkers in cNORSE is important to elucidate pathophysiology, aid clinical decision‐making, and prognosticate outcomes in cNORSE.
Yihui Goh+8 more
wiley +1 more source
Parkinsonism caused by adverse drug reactions: a case series
Introduction Parkinsonism puts a high direct cost burden on both patient and caregiver. Several reports of drug-induced parkinsonism have been published, but to the best of our knowledge, there has not been any report of quinine or halothane inducing ...
Agaba Emmanuel I+2 more
doaj +1 more source
An Explainable Machine Learning Model for Early Detection of Parkinson's Disease using LIME on DaTscan Imagery [PDF]
Parkinson's disease (PD) is a degenerative and progressive neurological condition. Early diagnosis can improve treatment for patients and is performed through dopaminergic imaging techniques like the SPECT DaTscan. In this study, we propose a machine learning model that accurately classifies any given DaTscan as having Parkinson's disease or not, in ...
arxiv
Two-year trajectory of fall risk in people with Parkinson disease: a latent class analysis [PDF]
Published in final edited form as: Arch Phys Med Rehabil. 2016 March ; 97(3): 372–379.e1. doi:10.1016/j.apmr.2015.10.105.OBJECTIVE: To examine fall risk trajectories occurring naturally in a sample of individuals with early to middle stage Parkinson ...
Cavanaugh, James T.+8 more
core +1 more source
Dysphagia and Mortality Risk in Individuals With Primary Progressive Apraxia of Speech
ABSTRACT Individuals with primary progressive apraxia of speech (PPAOS) often develop parkinsonism and dysphagia. To evaluate the clinical correlates and impact of dysphagia in this population, we compared enrollment visit data between individuals with (n = 12) versus individuals without (n = 44) dysphagia symptoms.
Gabriela Meade+8 more
wiley +1 more source