Parkinson's Disease

Speech signals-based Parkinson's disease diagnosis using hybrid autoencoder-LSTM models.

Parkinson's disease (PD) is a neurodegenerative disorder that occurs as a result of a decrease in th...

Activity recognition in patients with tremor: Integrating time-length windows for enhanced detection.

Pathological tremor significantly impairs daily activities and quality of life, particularly in cond...

Application of EEG microstates in Parkinson's disease.

Electroencephalography (EEG) microstate analysis is a promising technique for detecting transient br...

Robust computation of subcortical functional connectivity guided by quantitative susceptibility mapping: An application in Parkinson's disease diagnosis.

Previous resting state functional MRI (rs-fMRI) analyses of the basal ganglia in Parkinson's disease...

Unraveling Parkinson's disease motor subtypes: A deep learning approach based on spatiotemporal dynamics of EEG microstates.

BACKGROUND: Despite prior studies on early-stage Parkinson's disease (PD) brain connectivity and tem...

Decoding the Structure-Activity Relationship of the Dopamine D3 Receptor-Selective Ligands Using Machine and Deep Learning Approaches.

Dysfunctions of the dopamine D2 and D3 receptors (D2 and D3) are implicated in neuropsychiatric cond...

Active Learning-Guided Hit Optimization for the Leucine-Rich Repeat Kinase 2 WDR Domain Based on In Silico Ligand-Binding Affinities.

The leucine-rich repeat kinase 2 (LRRK2) is the most mutated gene in familial Parkinson's disease, a...

Reassessing Machine Learning Conclusions for Parkinson's Fall Prediction.

Integrating Clinical Insights and Methodological Refinements: A Commentary on Fall Risk Prediction in Parkinson's Disease.

Neural Metabolic Networks: Key Elements of Healthy Brain Function.

Neural networks are responsible for processing sensory stimuli and driving the synaptic activity req...

Differentiating Treatment-Resistant Depression With and Without Parkinsonism in the Elderly From a Psychiatric Perspective by Tc-TRODAT-1 SPECT Imaging.

OBJECTIVES: Late-life depression often overlaps with neurodegenerative diseases leading to diagnosti...

Resting-state functional MRI metrics to detect freezing of gait in Parkinson's disease: a machine learning approach.

Among the symptoms that can occur in Parkinson's disease (PD), Freezing of Gait (FOG) is a disabling...

Explainable machine learning for movement disorders - Classification of tremor and myoclonus.

BACKGROUND: Treatment for essential tremor (ET) and cortical myoclonus (CM) differs. As their clinic...

A new lightweight deep learning model optimized with pruning and dynamic quantization to detect freezing gait on wearable devices.

Freezing of gait (FoG) is a debilitating symptom of Parkinson's disease that severely impacts patien...

Computational screening of natural products as tryptophan 2,3-dioxygenase inhibitors: Insights from CNN-based QSAR, molecular docking, ADMET, and molecular dynamics simulations.

Parkinson's disease (PD) is characterised by a complex array of motor, psychiatric, and gastrointest...

Medication versus globus pallidus internus deep brain stimulation in Parkinson's disease with deep learning video analysis of finger tapping.

In advanced Parkinson's disease (PD), considerable number of patients receive deep brain stimulation...

Digital Biomarkers for Parkinson Disease: Bibliometric Analysis and a Scoping Review of Deep Learning for Freezing of Gait.

BACKGROUND: With the rapid development of digital biomarkers in Parkinson disease (PD) research, it ...

AI-DBS study: protocol for a longitudinal prospective observational cohort study of patients with Parkinson's disease for the development of neuronal fingerprints using artificial intelligence.

INTRODUCTION: Deep brain stimulation (DBS) is a proven effective treatment for Parkinson's disease (...

Co-Designing a "win-win" in Predictive AI: First Results from Interviews and Focus Groups with Persons with Parkinson's Disease.

This study explored the perspectives of people with Parkinson's disease (PwP) involved in the co-des...

Predicting dementia in people with Parkinson's disease.

Parkinson's disease (PD) exhibits a variety of symptoms, with approximately 25% of patients experien...

Impact of canny edge detection preprocessing on performance of machine learning models for Parkinson's disease classification.

This study investigates the classification of individuals as healthy or at risk of Parkinson's disea...