This large randomized, double-blind, multicenter trial will test whether precision neuroimaging-guided continuous theta-burst stimulation targeting the left supplementary motor area improves motor symptoms in 290 Parkinson's patients versus sham, with primary outcome MDS-UPDRS III at day 8 and…

Large multicenter autopsy study of 3,353 donors quantifying clinicopathological concordance, showing ~10–20% misdiagnosis rates, 40% Alzheimer’s co-pathology in Lewy body disease, greater Lewy body burden in GBA1 carriers, and ancestry-related differences in pathological diagnoses independent of…

Autopsy study using immunohistochemistry and RT‑QuIC on brain and gastrointestinal samples from 178 subjects reports GI‑only alpha‑synuclein pathology is rare while brain‑only pathology is substantially more common, and the count of SAA‑positive GI sites correlates with motor and GI autonomic…

The authors built a cross-species latent gene-expression space using a variational autoencoder trained on mouse spatial transcriptomics and embedded human orthologs to translate and predict human anatomical and disease-related brain changes from mouse models, validated for Alzheimer's and…

Encapsulation of CDNF in collagen hydrogels enabled sustained intracerebral delivery that improved motor behavior in a rodent PD model and dose-dependently altered brain N‑glycosylation, particularly core‑fucosylated glycans.

Using NMR and MD, the authors show that ATP's adenine and triphosphate moieties differentially bind α-synuclein—triphosphate forms strong contacts with N-terminal lysines that expand the protein while adenine makes weak multisite interactions—producing a concentration-dependent "hierarchical…

Targeted sequencing of 61 neurodegeneration genes in 186 Sicilian patients identified pathogenic/likely pathogenic variants in ~21% (diagnostic yield 16.7%), with GBA showing the highest number of pathogenic hits and broad phenotypic associations across AD, PD, FTD and parkinsonism.

JAK2 is induced in aged midbrain dopaminergic neurons and physically interacts with Nurr1 to enhance its nuclear stability and transcriptional activity (independent of canonical JAK/STAT signaling), with constitutively active JAK2 V617F increasing Nurr1 protein and reducing oxidative-stress…

The authors developed and validated a multimodal, imaging-informed model that integrates contact coordinates, electric fields, tract activations, and network data to predict motor improvement and reliably identify optimal or adjacent STN-DBS contacts across multiple cohorts.

This study presents a reproducible, explainable two-stage AI framework using vertical ground reaction force signals to both detect Parkinson's disease (AUC ≥ 0.93) and predict continuous H&Y severity (Spearman ρ = 0.921), and reports gait changes detectable up to ~4 years before diagnosis in a…

This study presents StimVision, a smartphone video-based, markerless kinematic pipeline that quantifies hand movement features to objectively rank and optimize DBS programming within sessions in Parkinson’s patients.

Prospective open-label study (n=45, 32 at 5 years) showing unilateral focused‑ultrasound subthalamotomy gives sustained, side-specific motor improvement (54% off‑med MDS‑UPDRS‑III improvement for treated side; overall 27% reduction) with increased LEDD, stable QoL/function, and no late adverse…

Using PICUP and targeted tyrosine mutations, the study maps transient intra- and inter-molecular contacts of α‑synuclein across solution, membrane-bound, oligomeric and fibrillar states, finding that membrane binding disrupts N–C intramolecular contacts while C‑terminal intermonomer contacts…

Using a tract-of-interest DTI/TFAS approach on 206 scans, the study detected stage-correlated fractional anisotropy reductions in white-matter tracts mapped to the six neuropathological stages of PD and used these patterns to classify in vivo disease-stage progression.

This diffusion MRI study found progressive reductions in cortical parallel diffusivity (ParlPD) from nonmanifest to manifest genetic PD, with more pronounced cortical microstructural alterations in GBA1 versus LRRK2 carriers.

The study presents a machine-learning pipeline that produces a patient-specific heterogeneity score (HET) from multimodal MRI with SHAP explainability, distinguishing MSA subtypes from PD, identifying key affected regions (olivopontocerebellar and striatonigral areas and widespread white matter),…

In a 5-year longitudinal study of 1,219 early PD patients, higher striatal DAT uptake on DAT-SPECT was associated with slower progression of autonomic dysfunction.

Quantitative susceptibility mapping found increased dentate nucleus iron deposition in tremor-dominant PD versus PIGD and controls, with DN susceptibility correlating with tremor severity and, combined with levodopa dose, distinguishing subtypes (AUC 0.898).

Open dataset of simultaneous bilateral wrist accelerometry and patient symptom diaries from 66 Parkinson's patients (≈394 total days) enabling development and validation of wearable-based motor symptom monitoring.

Using automated FreeSurfer subnuclear segmentation and XGBoost on two independent cohorts, the study found marked atrophy in lateral, paraventricular, and pulvinar thalamic nuclei in PSP and achieved AUC 0.96 for distinguishing PSP from PD based on thalamic nuclei volumes.

This study finds that elevated free-water in limbic regions (notably the left insula and mid-cingulate, plus hippocampus and right orbitofrontal cortex) combined with RBD and anxiety scores predicts conversion from prodromal to clinical Parkinson's disease with a combined-model AUC ~0.76.

Resting-state fMRI and UPDRS-III data from 55 PD patients show that bilateral STN- and GPi-DBS both improve motor symptoms but differentially reduce motor asymmetry depending on baseline laterality, with motor gains linked to altered homotopic connectivity in the lateral occipital/extrastriate body…

This human study found elevated motoneuron excitability and PIC-related amplification in people with Parkinson's disease compared with age-matched controls, and that dopaminergic medication did not fully normalize these measures.

Geo-Mamba is a geometry-informed dual-path state-space model that operates on Riemannian manifolds of fMRI/EEG functional connectivity to produce compact SPD representations and improves classification robustness across multiple neuroimaging datasets, including three Parkinson's cohorts.

Using resting-state fMRI from 104 PD patients (plus 34 external validation), the study applied nine machine-learning algorithms to classify subthalamic nucleus DBS ON vs OFF and found that global connectivity metrics with linear models or nonlinear SVMs achieved up to AUC 0.82, supporting…