Neurology

Abnormal protein accumulations and neuronal degeneration have been linked with parkinsonism in patients with chronic traumatic encephalopathy in a new study.

A revolutionary new AI model has proved effective in accurately differentiating between various dementia types using multimodal data.

A neural activity pattern has been identified that can accurately predict the clinical state of patients with obsessive-compulsive disorder.

A Predictive Prognostic Model has been developed to predict the rate at which individuals will progress to Alzheimer’s Disease.

Recent research highlights a significant link between anxiety and the risk of developing Parkinson’s disease in older adults.

Findings from a recent study demonstrated that discontinuing oral anticoagulation significantly increases the risk of recurrent ischemic stroke in patients with atrial fibrillation.

Recent data demonstrated that tau positron emission tomography has significant prognostic value in predicting the progression from mild cognitive impairment to dementia.

Machine learning analysis of a panel of blood biomarkers accurately classified 79% of pre-motor patients up to seven years before the onset of motor symptoms.