Classification of degenerative parkinsonism subtypes by support-vector-machine analysis and striatal 123I-FP-CIT indices

Nicastro, Nicolas; Wegrzyk, Jennifer; Preti, Maria Giulia; Fleury, Vanessa; Van De Ville, Dimitri; Garibotto, Valentina; Burkhard, Pierre

doi:10.1007/s00415-019-09330-z

Scientific article

English

Classification of degenerative parkinsonism subtypes by support-vector-machine analysis and striatal 123I-FP-CIT indices

ContributorsNicastro, Nicolas; Wegrzyk, Jennifer; Preti, Maria Giulia; Fleury, Vanessa; Van De Ville, Dimitri

; Garibotto, Valentina

; Burkhard, Pierre

Published inJournal of Neurology, vol. 266, no. 7, p. 1771-1781

Publication date2019

Abstract

To provide an automated classification method for degenerative parkinsonian syndromes (PS) based on semiquantitative 123I-FP-CIT SPECT striatal indices and support-vector-machine (SVM) analysis.

Keywords

Parkinson's disease
Degenerative parkinsonism
SPECT
Classification

Affiliation entities

Research groups

Funding

Swiss National Science Foundation - The Biological Basis of Cognitive Impairment due to Suspected Non-Alzheimer's Pathology (SNAP) : Studying the interplay between amyloidosis and tau-related neurodegeneration [169876]

Citation (ISO format)

NICASTRO, Nicolas et al. Classification of degenerative parkinsonism subtypes by support-vector-machine analysis and striatal 123I-FP-CIT indices. In: Journal of Neurology, 2019, vol. 266, n° 7, p. 1771–1781. doi: 10.1007/s00415-019-09330-z

Article (Published version)

CC BY

Identifiers

PID : unige:123500
DOI : 10.1007/s00415-019-09330-z
PMID : 31037416

Journal ISSN0340-5354

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Creation26/08/2019 11:57:00

First validation26/08/2019 11:57:00

Update20/01/2025 07:15:09

Status update20/01/2025 07:15:09

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Classification of degenerative parkinsonism subtypes by support-vector-machine analysis and striatal 123I-FP-CIT indices

To provide an automated classification method for degenerative parkinsonian syndromes (PS) based on semiquantitative 123I-FP-CIT SPECT striatal indices and support-vector-machine (SVM) analysis.

Technical informations