AIMC Topic: Parkinson Disease
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Predicting Parkinson's disease trajectory using clinical and neuroimaging baseline measures.
Parkinsonism & related disorders
Mar 7, 2021
INTRODUCTION: Predictive biomarkers of Parkinson's Disease progression are needed to expedite neuroprotective treatment development and facilitate prognoses for patients. This work uses measures derived from resting-state functional magnetic resonanc...
Improved motor outcome prediction in Parkinson's disease applying deep learning to DaTscan SPECT images.
Computers in biology and medicine
Mar 6, 2021
PURPOSE: Dopamine transporter (DAT) SPECT imaging is routinely used in the diagnosis of Parkinson's disease (PD). Our previous efforts demonstrated the use of DAT SPECT images in a data-driven manner by improving prediction of PD clinical assessment ...
Comparison of clinical outcomes and accuracy of electrode placement between robot-assisted and conventional deep brain stimulation of the subthalamic nucleus: a single-center study.
Acta neurochirurgica
Mar 2, 2021
BACKGROUND: Several surgical methods are used for deep brain stimulation (DBS) of the subthalamic nucleus (STN) in Parkinson's disease (PD). This study aimed to compare clinical outcomes and electrode placement accuracy after robot-assisted (RAS) ver...
Investigating the relationship between the SNCA gene and cognitive abilities in idiopathic Parkinson's disease using machine learning.
Scientific reports
Mar 1, 2021
Cognitive impairments are prevalent in Parkinson's disease (PD), but the underlying mechanisms of their development are unknown. In this study, we aimed to predict global cognition (GC) in PD with machine learning (ML) using structural neuroimaging, ...
Machine learning for automated EEG-based biomarkers of cognitive impairment during Deep Brain Stimulation screening in patients with Parkinson's Disease.
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Feb 24, 2021
OBJECTIVE: A downside of Deep Brain Stimulation (DBS) for Parkinson's Disease (PD) is that cognitive function may deteriorate postoperatively. Electroencephalography (EEG) was explored as biomarker of cognition using a Machine Learning (ML) pipeline.
Olfactory Testing in Parkinson Disease and REM Behavior Disorder: A Machine Learning Approach.
Neurology
Feb 24, 2021
OBJECTIVE: We sought to identify an abbreviated test of impaired olfaction amenable for use in busy clinical environments in prodromal (isolated REM sleep behavior disorder [iRBD]) and manifest Parkinson disease (PD).
An artificial neural network approach to detect presence and severity of Parkinson's disease via gait parameters.
PloS one
Feb 19, 2021
INTRODUCTION: Gait deficits are debilitating in people with Parkinson's disease (PwPD), which inevitably deteriorate over time. Gait analysis is a valuable method to assess disease-specific gait patterns and their relationship with the clinical featu...
Effectiveness of robotic balance training on postural instability in patients with mild Parkinson's disease: A pilot, single blind, randomized controlled trial.
Journal of rehabilitation medicine
Feb 17, 2021
OBJECTIVE: To examine whether tailored robotic platform training could improve postural stability compared with conventional balance treatment in patients with mild Parkinson's disease. Design: Randomized single-blind pilot study.
Machine Learning-Based Automatic Rating for Cardinal Symptoms of Parkinson Disease.
Neurology
Feb 10, 2021
OBJECTIVE: We developed and investigated the feasibility of a machine learning-based automated rating for the 2 cardinal symptoms of Parkinson disease (PD): resting tremor and bradykinesia.
Clinical outcome prediction from analysis of microelectrode recordings using deep learning in subthalamic deep brain stimulation for Parkinson`s disease.
PloS one
Jan 26, 2021
BACKGROUND: Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is an effective treatment for improving the motor symptoms of advanced Parkinson's disease (PD). Accurate positioning of the stimulation electrodes is necessary for better clin...
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