A major goal of current clinical research in Parkinson's disease (PD) is the validation and
standardization of biomarkers enabling early diagnosis, predicting outcomes, understanding …

The early differential diagnosis of Parkinson disease and atypical parkinsonism is a major
challenge. The use of single photon emission computed tomography (SPECT)/positron …

Parkinson's disease involves multiple neurotransmitter systems beyond the classical
dopaminergic circuit, but their influence on structural and functional alterations is not well …

Early Parkinson's Disease (PD) diagnosis is a critical challenge in the treatment process.
Meeting this challenge allows appropriate planning for patients. However, Scan Without …

Machine Learning (ML) is a subfield of Artificial Intelligence (AI) that is increasingly applied
to several medical diagnosis tasks, including a wide range of diseases. Importantly, various …

Purpose of Review The most common four neurodegenerative atypical parkinsonian
disorders (APDs) are progressive supranuclear palsy (PSP), multiple system atrophy (MSA) …

Highlights Imaging of the dopamine transporter (DAT)(in particular using 11C-or 18F-PE2I)
most reliably and precisely measures neurodegeneration of the dopaminergic system in …

Differential diagnosis of parkinsonism early upon symptom onset is often challenging for
clinicians and stressful for patients. Several neuroimaging methods have been previously …

Abstract Purpose of Review To review the advances in structural imaging for the diagnosis,
prognosis, and treatment of Parkinson's disease (PD) during the last 5 years. Recent …

In the last few years, a plethora of biomarkers have been proposed for the differentiation of
Parkinson's disease (PD) from its mimics. Most of them consist of complex measures, often …