AIMC Topic: Parkinson Disease

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Discrimination between healthy and patients with Parkinson's disease from hand resting activity using inertial measurement unit.

Biomedical engineering online May 22, 2021
BACKGROUND: Parkinson's disease (PD) is a neurological disease that affects the motor system. The associated motor symptoms are muscle rigidity or stiffness, bradykinesia, tremors, and gait disturbances. The correct diagnosis, especially in the initi...
Hand Rest Male Middle Aged Humans Case-Control Studies Female Support Vector Machine Aged Parkinson Disease Signal Processing, Computer-Assisted
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Identification of potential genomic biomarkers for Parkinson's disease using data pooling of gene expression microarrays.

Biomarkers in medicine May 14, 2021
In this study, we aimed to identify potential diagnostic biomarkers Parkinson's disease (PD) by exploring microarray gene expression data of PD patients. Differentially expressed genes associated with PD were screened from the GSE99039 dataset usin...
Biomarkers Gene Expression Profiling Case-Control Studies Signal Transduction Humans Protein Interaction Maps Parkinson Disease Gene Ontology Gene Regulatory Networks Genomics
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Computational medication regimen for Parkinson's disease using reinforcement learning.

Scientific reports Apr 29, 2021
Our objective is to derive a sequential decision-making rule on the combination of medications to minimize motor symptoms using reinforcement learning (RL). Using an observational longitudinal cohort of Parkinson's disease patients, the Parkinson's P...
Parkinson Disease Markov Chains Drug Therapy, Combination Machine Learning Female Aged Male Middle Aged Cohort Studies Humans
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Leveraging deep learning to control neural oscillators.

Biological cybernetics Apr 28, 2021
Modulation of the firing times of neural oscillators has long been an important control objective, with applications including Parkinson's disease, Tourette's syndrome, epilepsy, and learning. One common goal for such modulation is desynchronization,...
Humans Neural Networks, Computer Deep Learning Models, Neurological Parkinson Disease Neurons
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Effects of robot-assisted gait training on postural instability in Parkinson's disease: a systematic review.

European journal of physical and rehabilitation medicine Apr 7, 2021
INTRODUCTION: Postural instability is a cardinal feature of Parkinson's disease, together with rest tremor, rigidity and bradykinesia. It is a highly disabling symptom that becomes increasingly common with disease progression and represents a major s...
Humans Parkinson Disease Robotics Postural Balance Exoskeleton Device Gait Disorders, Neurologic
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Ensemble deep model for continuous estimation of Unified Parkinson's Disease Rating Scale III.

Biomedical engineering online Mar 31, 2021
BACKGROUND: Unified Parkinson Disease Rating Scale-part III (UPDRS III) is part of the standard clinical examination performed to track the severity of Parkinson's disease (PD) motor complications. Wearable technologies could be used to reduce the ne...
Middle Aged Severity of Illness Index Deep Learning Female Wearable Electronic Devices Humans Aged Parkinson Disease Neural Networks, Computer Male Signal Processing, Computer-Assisted Algorithms
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Time-frequency time-space LSTM for robust classification of physiological signals.

Scientific reports Mar 25, 2021
Automated analysis of physiological time series is utilized for many clinical applications in medicine and life sciences. Long short-term memory (LSTM) is a deep recurrent neural network architecture used for classification of time-series data. Here ...
Physiology Electrocardiography Parkinson Disease Gait Analysis Humans Neural Networks, Computer Software
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Discovery of novel dual adenosine A1/A2A receptor antagonists using deep learning, pharmacophore modeling and molecular docking.

PLoS computational biology Mar 19, 2021
Adenosine receptors (ARs) have been demonstrated to be potential therapeutic targets against Parkinson's disease (PD). In the present study, we describe a multistage virtual screening approach that identifies dual adenosine A1 and A2A receptor antago...
Adenosine A1 Receptor Antagonists Adenosine A2 Receptor Antagonists Protein Binding Parkinson Disease Receptor, Adenosine A2A Humans Molecular Docking Simulation Drug Discovery Deep Learning
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Automated assessment of the substantia nigra on susceptibility map-weighted imaging using deep convolutional neural networks for diagnosis of Idiopathic Parkinson's disease.

Parkinsonism & related disorders Mar 17, 2021
OBJECTIVES: Despite its use in determining nigrostriatal degeneration, the lack of a consistent interpretation of nigrosome 1 susceptibility map-weighted imaging (SMwI) limits its generalized applicability. To implement and evaluate a diagnostic algo...
Female Reproducibility of Results Aged Male Middle Aged Deep Learning Humans Retrospective Studies Parkinson Disease, Secondary Image Interpretation, Computer-Assisted Dopamine Plasma Membrane Transport Proteins Substantia Nigra Magnetic Resonance Imaging Tropanes Parkinson Disease Positron-Emission Tomography
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Interaction of Indirect and Hyperdirect Pathways on Synchrony and Tremor-Related Oscillation in the Basal Ganglia.

Neural plasticity Mar 13, 2021
Low-frequency oscillatory activity (3-9 Hz) and increased synchrony in the basal ganglia (BG) are recognized to be crucial for Parkinsonian tremor. However, the dynamical mechanism underlying the tremor-related oscillations still remains unknown. In ...
Tremor Basal Ganglia Globus Pallidus Corpus Striatum Brain Waves Humans Nerve Net Neural Networks, Computer Parkinson Disease
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