Derivation and Validation of a Phenoconversion-Related Pattern in Idiopathic Rapid Eye Movement Behavior Disorder
Pietro Mattioli1, Beatrice Orso1,2, Claudio Liguori3,4
1Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Clinical Neurology, University of Genoa, Genoa, Italy.
Summary
Idiopathic rapid eye movement sleep behavior disorder (iRBD) can predict synucleinopathies. Researchers developed a brain glucose metabolism pattern using [18F]FDG-PET to identify patients likely to convert, showing high accuracy.
Area of Science:
- Neurology
- Neuroimaging
- Biomarker Discovery
Background:
- Idiopathic rapid eye movement sleep behavior disorder (iRBD) is a prodromal stage of α-synucleinopathies.
- Reliable biomarkers are crucial for predicting phenoconversion in iRBD patients.
Purpose of the Study:
- To derive and validate a brain glucose metabolism pattern (iRBDconvRP) for predicting phenoconversion in iRBD.
- To utilize spatial covariance analysis (SSM-PCA) for pattern identification.
Main Methods:
- Seventy-six iRBD patients underwent [18F]FDG-PET at baseline.
- Scaled Subprofile Model and Principal Component Analysis (SSM-PCA) was applied to identify the iRBDconvRP.
- Survival analysis and Cox regression explored prediction power.
Main Results:
- Two comparable center-specific iRBDconvRPs were derived and validated.
- The iRBDconvRP showed significant predictive power for phenoconversion (HR: 7.42).
- Receiver operating characteristic analysis yielded an AUC of 0.85 (sensitivity: 87%, specificity: 72%).
Conclusions:
- An iRBDconvRP was successfully derived and validated to discriminate between iRBD converters and non-converters.
- [18F]FDG-PET pattern analysis shows potential as a phenoconversion biomarker for iRBD.
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