Background Parkinson's disease (PD) is an irreversible neurodegenerative disease. The
diagnosis of PD based on neuroimaging is usually with low-level or deep learning features …

Abstract Rationale In Parkinson's disease (PD), spatial covariance analysis of 18 F-FDG
PET data has consistently revealed a characteristic PD-related brain pattern (PDRP). By …

Background The objective of this study was to validate disease‐related metabolic brain
patterns for Parkinson's disease, multiple system atrophy, and progressive supranuclear …

Background To date, studies on positron emission tomography (PET) with 18F‐
fluorodeoxyglucose (FDG) in progressive supranuclear palsy (PSP) usually included PSP …

Progressive supranuclear palsy is a sporadic and progressive neurodegenerative disease,
most often presenting as a symmetric, akinetic-rigid syndrome with postural instability …

In the current paper, we describe methodologies for single subject differential diagnosis of
degenerative brain disorders using multivariate principal component analysis (PCA) of …

To investigate the cerebral dopamine transporter status in the early stages of the parkinson-
variant of multiple system atrophy (MSA-P), 15 patients with MSA-P and a disease duration …

Most available pattern recognition methods in neuroimaging address binary classification
problems. Here, we used relevance vector machine (RVM) in combination with booststrap …

Purpose The purpose of this study was to identify the specific metabolic brain pattern
characteristic for Parkinson's disease (PD): Parkinson's disease-related pattern (PDRP) …

Background: The A‐allele of the catechol‐O‐methyltransferase (COMT) Val158Met
polymorphism is associated with decreased enzymatic activity and higher dopamine …