It is thought that Parkinson's disease takes hold in the brain long before obvious motor symptoms appear, and a big focus for researchers is the development of diagnostic tools that can detect it ...

Researchers say MRI scans can help identify brain atrophy in people with Parkinson's and help predict the progression of the disease as well as what treatments might be most effective ...

They used MRI data from 86 patients with mild Parkinson's disease and 60 healthy control participants to generate the connectome, a structural/functional map of the brain's neural connections.

A machine learning model differentiated Parkinson's disease, multiple system atrophy, and progressive supranuclear palsy. AUROCs and predictive values for distinguishing Parkinson's from mimics ...

University of Florida researchers have led a multicenter study demonstrating that Automated Imaging Differentiation for Parkinsonism (AIDP), a machine-learning method using magnetic resonance ...

Researchers reported that the AI model could accurately distinguish between individuals with and without Parkinson's based on ...

The structural and functional organization of the brain as shown on MRI can predict the progression of brain atrophy in patients with early-stage, mild Parkinson’s disease, according to a ...

A case report highlights a rare instance of parkinsonism following CAR T-cell therapy for multiple myeloma.

This MRI scan reveals the nerve fibers—colored in red, green, and blue—in the region of the brain involved in smooth muscle control. In Parkinson's disease, the destruction of these neurons ...

Delray Medical Center cut the ribbon on its newest high-tech machine that targets brain areas to treat movement disorders such as essential tremor and tremor-dominant Parkinson’s disease.

Researchers say MRI scans can help identify brain atrophy in people with Parkinson's and help predict the progression of the disease as well as what treatments might be most effective ...