Neurology

Parkinson's Disease

Latest AI and machine learning research in parkinson's disease for healthcare professionals.

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Multiplex Proteomics of Lewy Body Dementia Reveals Cerebrospinal Fluid Biomarkers of Clinical and Neuropathological Heterogeneity

Lewy body dementia (LBD), which encompasses Parkinson's disease dementia (PDD) and Dementia with Lew...

Estimating bone marrow adiposity from head MRI and identifying its genetic architecture

Bone marrow adiposity changes radically through the lifespan, but this phenomenon is poorly characte...

Riemannian geometry meets fMRI: the advantages of modeling correlation manifolds and eigenvector subspaces

Correlation matrices are fundamental summaries of functional brain networks, yet standard analyses o...

Interpretable Symptom-Based Machine Learning for Parkinson's Disease Prediction: A Feasibility Study

Background: Parkinson's disease (PD) has a prolonged prodromal phase during which non-motor symptoms...

Benchmarking General-Purpose and Medical AI Large Language Models for Clinical Assessment and Management in Parkinson's Disease

Background: The clinical applicability of large language models (LLMs) in Parkinson's disease (PD) m...

A Comparative Evaluation of Structural MRI Foundation Models for Brain Age Regression and Sex Classification

Foundation models pre-trained on large neuroimaging datasets offer a promising approach to overcome ...

Comparison of Machine Learning Surrogate Models for Prediction of Single-Fiber Activation in Deep Brain Stimulation

Machine-learning surrogate models are positioned to help optimize deep brain stimulation (DBS) usage...

Smartphone Placement Recognition during Walking: Performance Determinants and Real-World Generalizability

The opportunity to collect movement data from smartphones for prolonged periods has opened new persp...

Plasmatic immune extracellular vesicle profiles identify prodromal and early stages of Parkinson's disease

Extracellular vesicles (EVs) hold promise as minimally invasive biomarkers for neurodegenerative pro...

AI-based discovery of functional boundaries in the human brain from intraoperative electrophysiology

Neurosurgical and neuromodulation therapies such as deep brain stimulation (DBS) require millimeter-...

A biologically annotated neural network for proteomic discovery in Parkinsons disease

Machine learning models that can utilize high-dimensional data to make predictions and derive biolog...

MTCurv: Deep learning for direct microtubule curvature mapping in noisy fluorescence microscopy images

Accurate quantification of the geometry of curvilinear biological structures is essential for unders...

SEAL: Semantic-aware Single-image Sticker Personalization with a Large-scale Sticker-tag Dataset

Synthesizing a target concept from a single reference image is challenging in diffusion-based person...

Parkinson's Disease Detection via Self-Supervised Dual-Channel Cross-Attention on Bilateral Wrist-Worn IMU Signals

Parkinson's disease (PD) is a chronic neurodegenerative disease. It shows multiple motor symptoms su...

STEP-PD: Stage-Aware and Explainable Parkinson's Disease Severity Classification Using Multimodal Clinical Assessments

Parkinson's disease (PD) is a progressive disorder in which symptom burden and functional impairment...

Training-Free Cross-Lingual Dysarthria Severity Assessment via Phonological Subspace Analysis in Self-Supervised Speech Representations

Dysarthric speech severity assessment typically requires either trained clinicians or supervised mac...

Engaging patient communities in intracranial neuroscience research

Patients who participate in intracranial neuroscience research make invaluable contributions to our ...

Chain of Modality: From Static Fusion to Dynamic Orchestration in Omni-MLLMs

Omni-modal Large Language Models (Omni-MLLMs) promise a unified integration of diverse sensory strea...

UDAPose: Unsupervised Domain Adaptation for Low-Light Human Pose Estimation

Low-visibility scenarios, such as low-light conditions, pose significant challenges to human pose es...

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