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.

Highlights

  • Parkinson’s disease (PD) is one of the most common neurodegenerative diseases resulting in motor as well as in non-motor dysfunctions

  • Parkinsonian Syndrome (PS)) that clinically helps to differentiate from atypical forms of PS.[1]. Besides this important role in the definition of PD, side of disease onset and progression of motor impairment were reported to be strongly linked:[1] while a rightsided symptom onset is associated with a more favorable outcome in terms of cognitive impairment, a left-sided symptom onset appears to be associated with a better outcome regarding motor progression.[1,2,3]

  • We deemed to identify specific morphological markers between disease forms unraveling the enigma of variety in clinical pattern of disease

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Summary

Introduction

Parkinson’s disease (PD) is one of the most common neurodegenerative diseases resulting in motor as well as in non-motor dysfunctions. Despite its heterogeneous clinical manifestation and course, the asymmetry of motor symptoms at the time of diagnosis is a pathological hallmark indicating PD

Results
Conclusion
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