Latest AI and machine learning research in parkinson's disease for healthcare professionals.
INTRODUCTION: Identifying deep brain stimulation (DBS) candidates, particularly those without access...
AIMS: Pathology is undergoing a paradigm shift as diagnostics become increasingly multimodal and com...
BACKGROUND: Essential tremor (ET) is the most common movement disorder in the elderly. Despite a clo...
BACKGROUND AND OBJECTIVES: MRI and computed tomography (CT) are commonly combined to localize intrac...
UNLABELLED: Cognitive impairment is one of the most functionally debilitating non-motor symptoms in ...
This editorial introduces a special issue detailing the rapid evolution of multimodal neuroimaging b...
Parkinson's disease (PD) is characterized by progressive dopaminergic neuronal degeneration and neur...
For infrastructure and regional economic development, restricted overload vehicles (ROVs) are an ind...
Cognitive impairment is a common non-motor sym.ptom of neurodegenerative Parkinson's disease (PD). H...
Nanopore sequencing is a promising method for decoding synthetic digital polymers, but translocation...
BACKGROUND: Clinical rating scales for Parkinson's disease (PD) have limitations in the accurate ass...
Differential diagnosis of parkinsonian syndromes remains challenging because of overlapping clinical...
Parkinson's disease (PD) is a progressive neurological disorder characterized by motor impairments w...
Parkinson's disease (PD) is the fastest growing neurological disorder worldwide and is projected to ...
OBJECTIVE: Anterior nucleus of the thalamus deep brain stimulation (ANT-DBS) is an effective therape...
BACKGROUND: Early differentiation of progressive supranuclear palsy from Parkinson's disease is chal...
The basal ganglia and sensorimotor cortex are essential nodes of a network that supports motor contr...
UNLABELLED: Paroxysmal kinesigenic dyskinesia is a rare neurological disorder characterized by brief...
BackgroundMachine learning offers new avenues for complementing traditional epidemiological approach...
Objective.Fitting biophysically detailed spiking-network models to data is constrained by computatio...
Parkinson's disease (PD) is a neurodegenerative disorder increasingly associated with gut microbiota...