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Updated: Nov 5, 2025

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
Published on: June 26, 2013
Update on neuroimaging for categorization of Parkinson's disease and atypical parkinsonism
Lydia Chougar1,2,3, Nadya Pyatigorskaya1,2,3, Stéphane Lehéricy1,2,3
1Institut du Cerveau - ICM, INSERM U 1127, CNRS UMR 7225, Sorbonne Université, Team 'Movement Investigations and Therapeutics' (MOV'IT).
Purpose Of Review:
Differential diagnosis of Parkinsonism may be difficult. The objective of this review is to present the work of the last three years in the field of imaging for diagnostic categorization of parkinsonian syndromes focusing on progressive supranuclear palsy (PSP) and multiple system atrophy (MSA).
Recent Findings:
Two main complementary approaches are being pursued. The first seeks to develop and validate manual qualitative or semi-quantitative imaging markers that can be easily used in clinical practice. The second is based on quantitative measurements of magnetic resonance imaging abnormalities integrated in a multimodal approach and in automatic categorization machine learning tools.
Summary:
These two complementary approaches obtained high diagnostic around 90% and above in the classical Richardson form of PSP and probable MSA. Future work will determine if these techniques can improve diagnosis in other PSP variants and early forms of the diseases when all clinical criteria are not fully met.
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