A study of fifteen patients with Parkinson's disease found that staged bilateral radiofrequency lesioning offered sustained motor improvements over thirty-six ...
Unbiased multi-omics comparative profiling of rat synucleinopathy models reveals divergent molecular mechanisms, providing a translational guide for Parkinson's disease drug ...
A study of 207 newly diagnosed Parkinson's disease patients reveals that glymphatic dysfunction associates with worse motor and cognitive symptoms, ...
Researchers have developed a deep-learning model called NONOS that separates neural rhythms from background brain noise without losing temporal resolution.
Researchers have identified distinct beta oscillatory dynamics in the subthalamic nucleus and globus pallidus internus during pharmacological and electrical treatment ...
Researchers highlight the importance of evaluating sleep changes alongside functional status and motor measures in Parkinson's disease.
A study in npj Parkinson's Disease links specific Parkinson's symptoms to distinct subregions of the substantia nigra using neuromelanin MRI.
A review in npj Parkinson's Disease argues that non-dopaminergic systems are critical to Parkinson's pathology, advocating for multisystem-targeted therapies.
A case report and literature review describe the development of glioblastoma two years after deep brain stimulation for Parkinson's disease, ...
A new attention-based deep learning framework classifies Parkinson’s disease from resting-state EEG signals with high accuracy and provides interpretable sub-band ...
A review in npj Parkinson's Disease examines the brain lymphatic drainage system's role in Parkinson's disease pathogenesis.
An exploratory study of 19 Algerian patients with Parkinson’s disease identified rare variants in six candidate genes, highlighting the genetic ...
A benchmark evaluation of nine large language models across 200 professional Parkinson's disease tasks revealed minimal separation in factual accuracy ...
An automated framework combining acoustic and linguistic speech features achieved high accuracy in detecting Parkinson's disease and characterizing associated mild ...
A study of 20 early Parkinson’s disease patients found that REM-sleep behavior disorder status correctly classified 85% of individuals into ...
A prospective cohort study of 374,751 UK Biobank participants found that higher circulating levels of branched-chain amino acids are associated ...
A comparative cross-sectional study at Tikur Anbessa Specialized Hospital revealed significantly lower lipid levels in Parkinson’s disease patients compared to ...
Maternal immune activation primes adult male mice for insult-dependent vulnerability to Parkinson's disease-related injury.
A multiregional neural sensing framework using machine learning predicted Parkinson's disease motor fluctuations with nearly ninety percent accuracy across animal ...
A scoping review of 23 studies demonstrates that wearable digital mobility outcomes can capture real-world mobility changes to support frailty ...
