Volume Alterations in Thalamic Subnuclei in Parkinson's Disease Dementia and Machine Learning-Based Prediction of Diagnosis and Severity
This study examines structural changes in specific thalamic regions among patients with Parkinson's disease dementia using advanced neuroimaging analysis. Machine learning algorithms are applied to these volumetric measurements to develop predictive models for diagnosis and disease severity assessment.