MRI-based neuroimaging: atypical parkinsonisms and other movement disordersKassubek, JanCurrent Opinion in Neurology: August 2018 - Volume 31 - Issue 4 - p 425–430 doi: 10.1097/WCO.0000000000000578 NEUROIMAGING: Edited by Massimo Filippi Abstract Author InformationAuthors Article MetricsMetrics Purpose of review MRI has become a well established technical tool for parkinsonism both in the diagnostic work-up to differentiate between causes and to serve as a neurobiological marker. This review summarizes current developments in the advanced MRI-based assessment of brain structure and function in atypical parkinsonian syndromes and explores their potential in a clinical and neuroscientific setting. Recent findings Computer-based unbiased quantitative MRI analyses were demonstrated to guide in the discrimination of parkinsonian syndromes at single-patient level, with major contributions when combined with machine-learning techniques/support vector machine classification. These techniques have shown their potential in tracking the disease progression, perhaps also as a read-out in clinical trials. The characterization of different brain compartments at various levels of structural and functional alterations can be provided by multiparametric MRI, including a growing variety of diffusion-weighted imaging approaches and potentially iron-sensitive and functional MRI. Summary In case that the recent advances in the MRI-based assessment of atypical parkinsonism will lead to standardized protocols for image acquisition and analysis after the confirmation in large-scale multicenter studies, these approaches may constitute a great achievement in the (operator-independent) detection, discrimination and characterization of degenerative parkinsonian disorders at an individual basis. Department of Neurology, University of Ulm, Ulm, Germany Correspondence to Jan Kassubek, MD, Department of Neurology, University of Ulm, Oberer Eselsberg 45, 89081 Ulm, Germany. Tel: +49 731 1771206; fax: +49 731 1771202; e-mail: firstname.lastname@example.org Copyright © 2018 Wolters Kluwer Health, Inc. All rights resereved.