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Parkinson’s disease-related brain metabolic patterns and neurodegeneration in isolated REM sleep behavior disorder

Citation

Shin, Jung Hwan (2022), Parkinson’s disease-related brain metabolic patterns and neurodegeneration in isolated REM sleep behavior disorder, Dryad, Dataset, https://doi.org/10.5061/dryad.rbnzs7h9t

Abstract

Objective: To elucidate the role of Parkinson’s disease (PD)-related brain metabolic patterns as a biomarker in isolated rapid-eye-movement sleep behavior disorder (iRBD) for future disease conversion.

Method: This is a prospective cohort study consisting of 30 iRBD patients, 25 de novo PD patients with a premorbid history of RBD, 21 long-standing PD patients on stable treatment and 24 healthy controls. iRBD group was longitudinally followed up. All participants underwent 18F-Fluorodeoxyglucose (FDG) PET and were evaluated with olfaction, cognition, and the Movement disorders society-Unified PD Rating Scale (MDS-UPDRS) at baseline. From FDG-PET scans, we derived metabolic patterns from the long-standing PD group (PD-RP) and de novo PD group with RBD (dnPDRBD-RP). Subsequently, we calculated the PD-RP and dnPDRBD-RP scores in iRBD patients. We validated the metabolic patterns in each PD group and separate iRBD cohort (n=14).

Result: The two patterns significantly correlated with each other and were spatially overlapping yet distinct. The MDS-UPDRS motor scores significantly correlated with PD-RP (p = 0.013) but not with dnPDRBD-RP (p = 0.076). In contrast, dnPDRBD-RP correlated with olfaction in butanol threshold test (p = 0.018) in iRBD subjects, but PD-RP did not (p = 0.21). High dnPDRBD-RP in iRBD patients predicted future phenoconversion with all cut-off ranges from 1.5 to 3 standard deviations of the control value, whereas predictability of PD-RP was only significant in a partial range of cut-off.

Conclusion: The dnPDRBD-RP is an efficient neuroimaging biomarker that reflects prodromal features of PD and predicts phenoconversion in iRBD that can be applied individually.