Neurology · 2020 · 41 citations · 43 references
Life SciencesNeurologyNeuroscienceClinical NeuroscienceNeuroanatomyNeurodegenerationBrain ImagingNeurodegenerative DisordersParkinson DiseaseParkinsonian DisordersCluster AnalysisDeformationHierarchical Cluster AnalysisLongitudinal Disease ProgressionLongitudinal ProgressionNeurodegenerative Disease Progression MarkersT1-weighted ImagingUnified Parkinson's Disease Rating Scale
OBJECTIVE: To identify biotypes in patients with newly diagnosed Parkinson disease (PD) and to test whether these biotypes could explain interindividual differences in longitudinal progression. METHODS: < 0.01) with clinical scores (Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale Parts I-III and total score, tremor score, and postural instability and gait difficulty score) at baseline were selected. Then, these neuroanatomic features were subjected to hierarchical cluster analysis. Changes in the longitudinal progression and neuroanatomic pattern were compared between different biotypes. RESULTS: Two neuroanatomic biotypes were identified: biotype 1 (n = 114) with subcortical brain volumes smaller than heathy controls and biotype 2 (n = 200) with subcortical brain volumes larger than heathy controls. Biotype 1 had more severe motor impairment, autonomic dysfunction, and much worse REM sleep behavior disorder than biotype 2 at baseline. Although disease durations at the initial visit and follow-up were similar between biotypes, patients with PD with smaller subcortical brain volume had poorer prognosis, with more rapid decline in several clinical domains and in dopamine functional neuroimaging over an average of 5 years. CONCLUSION: Robust neuroanatomic biotypes exist in PD with distinct clinical and neuroanatomic patterns. These biotypes can be detected at diagnosis and predict the course of longitudinal progression, which should benefit trial design and evaluation.
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