Parkinson's Disease

Assessing changes in whole-brain structural connectivity in the unilateral 6-hydroxydopamine rat model of Parkinson's disease using diffusion imaging and tractography.

Parkinson's disease (PD) is a multifactorial, progressive neurodegenerative disease that has a profound impact on those it afflicts. Its hallmark pathophysiology is characterized by degeneration of dopaminergic (DA) neurons in the midbrain which trigger a host of motor and non-motor symptoms. Many preclinical research efforts utilize unilateral lesion models to assess the neural mechanisms of PD a...

Micrographia in Parkinson's Disease: Automatic Recognition through Artificial Intelligence.

BACKGROUND: Parkinson's disease (PD) leads to handwriting abnormalities primarily characterized by micrographia. Whether micrographia manifests early in PD, worsens throughout the disease, and lastly responds to L-Dopa is still under scientific debate.

Prediction of Motor Symptom Progression of Parkinson's Disease Through Multimodal Imaging-Based Machine Learning.

The unrelenting progression of Parkinson's disease (PD) leads to severely impaired quality of life, with considerable variability in progression rates...

Acousto-Electric Conversion by the Piezoelectric Nanogenerator of a Molecular Copper(II) Complex.

The conversion of sound waves into electrical energy holds immense potential in various real-life applications, particularly biomedical devices, smart...

Diagnostic value of transcranial ultrasonography and clinical features for Parkinson's disease based on XGBoost model and SHAP visualization analysis: a retrospective study.

OBJECTIVES: Parkinson's disease (PD) requires early diagnosis for optimal management. This study aims to evaluate whether combining transcranial ultra...

Gaucher disease, state of the art and perspectives.

Knowledge about Gaucher disease (GD), considered a model for rare diseases, has considerably increased since its discovery. The pathophysiology of thi...

Artificial Intelligence in Diagnosis and Prognosis of Cognitive Impairment in Parkinson's Disease.

Parkinson's disease (PD), a progressive neurodegenerative disorder, affects millions globally, with cognitive impairment as a significant non-motor co...

Novel technologies for REM sleep behavior disorder detection for home screening in Parkinson's disease and related alpha-synucleinopathies.

Isolated REM sleep behavior disorder (iRBD) is a prodromal marker of Parkinson's disease (PD) and related alpha-synucleinopathies. Identification of R...

Identification of differentially co-expressed genes with lipid metabolism in Parkinson's disease by bioinformatics analysis.

There was increasing evidence that lipid metabolism disorders played a significant part in the maturation of Parkinson's disease (PD). The purpose of ...

Soft Robotics for Parkinson's Disease Supported by Functional Materials and Artificial Intelligence.

Progressive neurodegenerative disease known as Parkinson's disease (PD) is characterized by both motor and nonmotor symptoms that severely reduce the ...

Ultradeep N-glycoproteome atlas of mouse reveals spatiotemporal signatures of brain aging and neurodegenerative diseases.

The current depth of site-specific N-glycoproteomics is insufficient to fully characterize glycosylation events in biological samples. Herein, we achi...

Design of a deep fusion model for early Parkinson's disease prediction using handwritten image analysis.

Parkinson's Disease (PD) is a deteriorating condition that mostly affects older people. The lack of conclusive treatment for PD makes diagnosis very c...

Proteomic risk scores for predicting common diseases using linear and neural network models in the UK biobank.

Plasma proteomics provides a unique opportunity to enhance disease prediction by capturing protein expression patterns linked to diverse pathological ...

Machine learning for Parkinson's disease: a comprehensive review of datasets, algorithms, and challenges.

Parkinson's disease (PD) is a devastating neurological ailment affecting both mobility and cognitive function, posing considerable problems to the hea...

Brain structural features with functional priori to classify Parkinson's disease and multiple system atrophy using diagnostic MRI.

Clinical two-dimensional (2D) MRI data has seen limited application in the early diagnosis of Parkinson's disease (PD) and multiple system atrophy (MS...

Adaptive neuro-fuzzy inference system optimization of natural rubber latex modified concrete's mechanical Properties.

The study investigates the optimization of Natural Rubber Latex Modified Concrete (NRLMC) using an Adaptive Neuro-Fuzzy Inference System (ANFIS) to en...

Machine learning-based brain magnetic resonance imaging radiomics for identifying rapid eye movement sleep behavior disorder in Parkinson's disease patients.

BACKGROUND: Traditional clinical diagnostic methods of rapid eye movement sleep behavior disorder (RBD) have certain limitations, especially in the ea...

Recent advances in fluid and tissue-based biomarkers for use in Parkinson's disease.

INTRODUCTION: Parkinson's disease (PD) is a common neurodegenerative disease leading to motor and non-motor disabilities. Broadly accessible fluid- or...

Movement-responsive deep brain stimulation for Parkinson's disease using a remotely optimized neural decoder.

Deep brain stimulation (DBS) has garnered widespread use as an effective treatment for advanced Parkinson's disease. Conventional DBS (cDBS) provides ...

γ neuromodulations: unraveling biomarkers for neurological and psychiatric disorders.

γ neuromodulation has emerged as a promising strategy for addressing neurological and psychiatric disorders, particularly in regulating executive and ...