Parkinson's Disease

Preoperative functional connectivity patterns predict tremor relief following MRgFUS thalamotomy in essential tremor: A machine learning investigation.

BACKGROUND: Magnetic resonance-guided focused ultrasound (MRgFUS) thalamotomy made a breakthrough in treating essential tremor (ET), but with variable tremor responses. This study employed support vector machine regression (SVR) to predict tremor response based on preoperative functional connectivity (FC) patterns. METHODS: Fifty-six ET patients underwent unilateral MRgFUS thalamotomy and resting-...

AI-Driven Multimodal Analysis of Neuroimaging and Speech Data for Diagnosis of Alzheimer's, Parkinson's, and Epilepsy.

This study investigates the application of machine learning (ML) techniques combined with neuroimaging and speech signal processing for the early detection of neurological disorders, including Alzheimer's disease, Parkinson's disease, and epilepsy. A multisource analysis dataset consisting of neuro-images and speech features was utilized to train and evaluate various ML classifiers, such as K-near...

Integrating Eye Tracking and Inertial Sensing for Enhanced Freezing of Gait Detection in Parkinson's Disease.

Freezing of gait (FOG), a disabling symptom in Parkinson's disease, presents a major challenge for wearable classification algorithms that struggle to...

Predicting Long-Term Depression Progression in Parkinson's Disease: A Machine-Learning Survival Analysis and Risk Score.

BACKGROUND: Depression in Parkinson's disease (dPD) is common and heterogeneous, impairs quality of life, and may accelerate disease progression. Tool...

Perspective: Depression in Persons with Parkinson's Disease.

Depression is a prevalent and disabling syndrome characterized by sustained sadness and/or anhedonia, as well as cognitive and physical symptoms. In P...

Efficient Voice-Based Parkinson Classification via Algorithm-Level Class Balancing.

Parkinson's disease (PD) is a progressive neurodegenerative disorder, and the diagnostic procedures are very crucial in enhancing patient outcomes whe...

Enhancing Parkinson's Disease Staging: An Integrative Deep Learning Framework for Multimodal Feature Selection.

Parkinson's disease (PD) affects 10 million globally, with accurate staging essential for personalized treatment planning. Current UPDRS assessments a...

Machine learning prediction of discharge destination in patients with Parkinson's disease; a nationwide cohort study.

Risk stratification during hospitalization may support real-world discharge planning. We developed and validated machine learning models and an interp...

Focussed ultrasound thalamotomy and functional MRI as windows to neural networks underlying essential tremor.

Quantitative pathology and APOE genotype reveal dementia risk and progression in Lewy body disease.

Dementia in Lewy body diseases (LBD) is common and arises through heterogeneous and incompletely understood pathways. Evidence suggests contributions ...

The Deep Learning Revolution in Neuroimaging: Insights from a Bibliometric Analysis (2014-2024).

This paper presents a bibliometric analysis of the fast-growing area of deep learning in neuroimaging. Using data from the Scopus database, we analyze...

Explainable MRI radiomics of the basal ganglia and ventral midbrain distinguishes Parkinson's disease, SWEDD, and healthy controls.

Distinguishing scans without evidence of dopaminergic deficit (SWEDD) from Parkinson's disease (PD) remains challenging on routine MRI. We extracted 1...

Impact of region-based shape alterations in MRI as indicators of Parkinson's Disease.

BACKGROUND: Parkinson's Disease (PD) is a neuro-degenerative condition that progressively impairs movement, resulting from the loss of dopamine-produc...

Harnessing artificial intelligence: Revolutionizing clinical care for Parkinson's disease.

As the use of artificial intelligence (AI) in healthcare becomes more pervasive, its application in the clinical care for those with Parkinson's disea...

Integrating Molecular Dynamics and Deep Learning to Elucidate Conformational Plasticity Underlying the Reduced Activity of Glycocin F.

The escalating crisis of multidrug-resistant bacteria demands a new generation of antibiotics. Glycocin F (GccF), a potent bacteriocin, is a promising...

An artificial neural network based on radial basis methodology using delay effects in the Parkinson's disease model.

The purpose of this study is to find the numerical solutions of the delay Parkinson's disease model by employing a computing neural network framework....

Associations of epigenetic age acceleration with motor impairment: Evidence from the Parkinson's Progression Markers Initiative cohort.

Motor decline is a hallmark of Parkinson's disease (PD) and biological aging, yet the specific relationship between systemic biological aging and neur...

[Comprehensive diagnosis and treatment of distal biliary strictures: multidisciplinary collaboration and precision surgical strategies].

Distal biliary strictures (DBS) are a common and complex clinical problem in pancreaticobiliary diseases,with etiologies involving multiple factors su...

Emerging Roles of Small-molecule Derivatives in Modulating Neurodegenerative Pathways: From Molecular Targets to Therapeutic Applications.

Neurodegenerative disorders such as Alzheimer's disease, Parkinson's disease, amyotrophic lateral sclerosis, and Huntington's disease involve progress...

Reimagining Brain Drug Delivery: Mechanistic and Translational Advances in Carbon Nanotube Nanomedicine.

Neurological and neurodegenerative disorders (NDDs) present ongoing therapeutic challenges attributed to the structural complexity of the central nerv...