Retrospective analysis of 1,315 PPMI participants found a nonlinear association between serum AST/ALT ratio and familial versus sporadic PD—strong above a threshold of 1.503—with a predictive model AUC of 0.758.

This paper describes an industry–patient–advocacy collaboration that developed and refined educational materials and a knowledge-building guide to improve understanding of disease‑modifying therapies among people with early‑stage Parkinson’s, raising measured health literacy and readability.

Retrospective single-center study finds MRgFUS thalamotomy yields sustained, >50% tremor reduction with comparable safety and side-effect resolution in patients ≥80 versus younger patients.

The study reports consistent up-regulation of tRNA-derived miR-1274b in tear fluid from small PD cohorts, with in-silico predicted targets and network links to synaptic regulation and PD-related genes.

In 176 FMR1 premutation carriers the authors report a linear relationship between CGG repeat length and FMR1 mRNA levels and show that larger repeats associate with greater neurological severity, with Parkinsonism and cognitive impairment significantly correlated with CGG size in males.

PD patients show a prolonged phase-average wavelength of alpha EEG rhythm—greater in those with cognitive impairment—and this measure correlates negatively with cognitive test scores.

Overexpressing alpha-synuclein (SNCA) in non-small cell lung cancer cell lines increases oxidative stress and triggers caspase-dependent apoptosis, with squamous-cell lines more sensitive than adenocarcinoma lines.

This cross-sectional study found corneal epithelial thinning measured by AS-OCT correlates with dry eye severity and Hoehn & Yahr stage in Parkinson's patients.

Introduces a novel gait-state time-interval (GSTI) signal derived from multizonal plantar load distribution and an Integrative Body Intelligence framework using spectral/bispectral features from insole sensors to classify Parkinson's disease with 94.44% accuracy and enable acoustic/visual…

The paper introduces a hierarchical coarse-to-fine conditional GAN that generates realistic, subtype-conditioned ankle-acceleration signals for the three FOG subtypes (shuffling, trembling, akinesia) to augment training data and substantially improve CNN-based FOG detection, particularly for…

Largest LATAM cohort study of levodopa-induced dyskinesia (LID) finding 25.4% prevalence overall (range 9.3–45.1%), increasing with disease duration, with fast progression but not sex associated with higher LID risk.

Observational study of 149 early PD patients found that higher coffee consumption (especially >1 cup/day) was modestly associated with better performance on select executive function tests (Go-No-Go, Calculation, Contrasting Program) after covariate adjustment, while smoking showed no cognitive…

Phase 1 trial shows adults with Parkinson's disease can significantly improve recognition of hypokinetic dysarthric speech through a validated listener-focused perceptual training protocol, with gains comparable to neurotypical listeners.

The study implements a scalable high-throughput, high-content C. elegans imaging workflow to quantify dopaminergic neuron degeneration and dopamine-dependent behavioral deficits after exposure to several PFAS compounds and mixtures, identifying PFOS as the most potent and mixture toxicity driven by…

In a cross-sectional cohort of 60 older adults, Parkinson's disease was associated with prolonged contraction time and reduced maximal muscle displacement in the lateral gastrocnemius (TMG), whereas sarcopenic participants had substantially lower hip and knee extension isometric strength.

This study used empirical mode decomposition of center-of-pressure signals and machine learning (SFFS feature selection plus classifiers) to classify fall risk in 32 PD patients, identifying a 3-feature subset and achieving up to 0.96 subject-level AUC in the best condition.

In a propensity-matched multicenter cohort comparing 8,202 virtual to 8,202 in-person new neurology visits, overall 90-day neurologic follow-up, ED visits, and hospitalizations were similar, though Parkinson disease visits showed higher short-term follow-up after virtual encounters and some testing…

The study applied NMF and multimodal matrix factorization to EMG and joint angular-acceleration data from 19 Parkinson's patients during walking, extracting four EMG synergies and eight cross-modal synergies that link specific muscle groups (e.g., TA, SOL, RF) with pelvis-to-lower-limb kinematic…

MRI analysis of early-stage Parkinson's patients found reduced cortical gyrification in left parahippocampal and lingual gyri and gyrification deficits in right parietal, temporal, and occipital regions that correlate with bradykinesia and functional capacity.

In PD patients tested ON vs OFF dopaminergic medication and healthy controls, dopaminergic treatment increased perceived sense of agency—especially when actions matched but failed goals—reduced self-serving dishonest choices, and altered evidence accumulation for agency judgments linked to…

In 52 people with Parkinson's, cognition was not associated with objective or subjective dysphagia, but prolonged water-swallowing time correlated with self-reported swallowing problems and interacted with cognition.

A Spanish PRISM real-world survey of 149 people with Parkinson's and 38 caregivers found high motor and non-motor symptom burden, widespread levodopa use, a 57% rate of reported impulse control behaviors, low use of rehabilitation therapies, and strong interest but low participation in clinical…

This study identifies a homozygous PTRHD1 (c.155G>A, p.Cys52Tyr) mutation in a family with early intellectual disability and later-onset atypical parkinsonism, expanding the clinical phenotype and showing widespread PTRHD1 expression in adult brain.

Prospective study of 27 PD patients found cognitive and affective Theory of Mind abilities largely unchanged one year after bilateral subthalamic deep brain stimulation, with ToM performance correlating with overall cognition and specific neuropsychological domains.

This study presents an automated Parkinson's disease severity prediction framework that combines ensemble feature extraction (IAOA-weighted features, RBM, t-SNE) with an Adaptive Multi-scale Temporal Convolutional Network (AMTCN) to classify UPDRS-based severity, reporting ~94% accuracy.