Feis, Delia-Lisa, Pelzer, Esther A., Timmermann, Lars and Tittgemeyer, Marc (2015). Classification of symptom-side predominance in idiopathic Parkinson's disease. npj Parkinsons Dis., 1. LONDON: SPRINGERNATURE. ISSN 2373-8057

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Abstract

Asymmetry of symptom onset in Parkinson's disease (PD) is strongly linked to differential diagnosis, progression of disease, and clinical manifestation, suggesting its importance in terms of specifying a therapeutic strategy for each individual patient. To scrutinize the predictive value of this consequential clinical phenomenon as a neuromarker supporting a personalized therapeutic approach, we modeled symptom-side predominance at disease onset based on brain morphology assessed with magnetic resonance (MR) images by utilizing machine learning classification. The integration of multimodal MR imaging data into a multivariate statistical model led to predict left- and right-sided symptom onset with an above-chance accuracy of 96%. By absolute numbers, all but one patient were correctly classified. Interestingly, mainly hippocampal morphology supports this prediction. Considering a different disease formation of this single outlier and the strikingly high classification, this approach proves a reliable predictive model for symptom-side diagnostics in PD. In brief, this work hints toward individualized disease-modifying therapies rather than symptom-alleviating treatments.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Feis, Delia-LisaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Pelzer, Esther A.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Timmermann, LarsUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Tittgemeyer, MarcUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-419574
DOI: 10.1038/npjparkd.2015.18
Journal or Publication Title: npj Parkinsons Dis.
Volume: 1
Date: 2015
Publisher: SPRINGERNATURE
Place of Publication: LONDON
ISSN: 2373-8057
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
NeurosciencesMultiple languages
URI: http://kups.ub.uni-koeln.de/id/eprint/41957

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