End-to-End Parkinson Disease Diagnosis using Brain MR-Images by 3D-CNN [PDF]
In this work, we use a deep learning framework for simultaneous classification and regression of Parkinson disease diagnosis based on MR-Images and personal information (i.e. age, gender). We intend to facilitate and increase the confidence in Parkinson disease diagnosis through our deep learning framework.
arxiv
Deep Learning Based Early Diagnostics of Parkinsons Disease [PDF]
In the world, about 7 to 10 million elderly people are suffering from Parkinson's Disease (PD) disease. Parkinson's disease is a common neurological degenerative disease, and its clinical characteristics are Tremors, rigidity, bradykinesia, and decreased autonomy.
arxiv
Vascular disease and vascular risk factors in relation to motor features and cognition in early Parkinson's disease [PDF]
Funded by Parkinson's UK National Institute for Health Research (NIHR) DeNDRoN network NIHR Newcastle Biomedical Research Unit Newcastle University NIHR funded Biomedical Research Centre in CambridgePeer reviewedPublisher ...
Bajaj, Nin+14 more
core +5 more sources
Cerebello‐Prefrontal Connectivity Underlying Cognitive Dysfunction in Spinocerebellar Ataxia Type 2
ABSTRACT Objective Spinocerebellar ataxia type 2 (SCA2) is a hereditary cerebellar degenerative disorder, with motor and cognitive symptoms. The constellation of cognitive symptoms due to cerebellar degeneration is named cerebellar cognitive affective syndrome (CCAS), which has increasingly been recognized to profoundly impact patients' quality of life;
Ami Kumar+7 more
wiley +1 more source
Isotropic random walks on affine buildings [PDF]
In this paper we apply techniques of spherical harmonic analysis to prove a local limit theorem, a rate of escape theorem, and a central limit theorem for isotropic random walks on arbitrary thick regular affine buildings of irreducible type.
arxiv
Development of a Disease Model for Predicting Postoperative Delirium Using Combined Blood Biomarkers
ABSTRACT Objective Postoperative delirium, a common neurocognitive complication after surgery and anesthesia, requires early detection for potential intervention. Herein, we constructed a multidimensional postoperative delirium risk‐prediction model incorporating multiple demographic parameters and blood biomarkers to enhance prediction accuracy ...
Hengjun Wan+7 more
wiley +1 more source
Comparative statistics of Garman-Klass, Parkinson, Roger-Satchell and bridge estimators [PDF]
Comparative statistical properties of Parkinson, Garman-Klass, Roger-Satchell and bridge oscillation estimators are discussed.
arxiv
Neuropsychiatric disturbances in atypical Parkinsonian disorders [PDF]
Multiple system atrophy (MSA), progressive supranuclear palsy (PSP), and corticobasal degeneration (CBD) are the most common atypical parkinsonisms. These disorders are characterized by varying combinations of autonomic, cerebellar and pyramidal system ...
Belvisi, Daniele+6 more
core +1 more source
Pathways to Parkinsonism [PDF]
A novel gene for Parkinson's disease (PD), DJ-1, has been identified that encodes a multifunctional product with several known protein-protein interactions and effects on gene expression. Here, I outline how it is possible to construct hypotheses that place DJ-1 in different relationships to the other known PD genes, alpha-synuclein and parkin.
openaire +3 more sources
Home‐Based Tele‐tDCS in Amyotrophic Lateral Sclerosis: Feasibility, Safety, and Preliminary Efficacy
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease with limited treatment options. Transcranial direct current stimulation (tDCS) shows promise as a neuromodulatory intervention in various neurological disorders, but its application in ALS, particularly in a remote, home‐based format, remains underexplored.
Sangeetha Madhavan+6 more
wiley +1 more source