Detecting and visualizing differences in brain structures with SPHARM and functional data analysis
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Show full item recordcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7037
comunitat-uji-handle3:10234/8635
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INVESTIGACIONMetadata
Title
Detecting and visualizing differences in brain structures with SPHARM and functional data analysisDate
2020-08-07Publisher
ElsevierBibliographic citation
FERRANDO, L.; VENTURA-CAMPOS, N.; EPIFANIO, I. Detecting and visualizing differences in brain structures with SPHARM and functional data analysis. NeuroImage, 222, 2020, 117209.Type
info:eu-repo/semantics/articlePublisher version
https://www.sciencedirect.com/science/article/pii/S1053811920306959Version
info:eu-repo/semantics/publishedVersionSubject
Abstract
A new procedure for classifying brain structures described by SPHARM is presented. We combine a dimension reduction technique (functional principal component analysis or functional independent component analysis) with ... [+]
A new procedure for classifying brain structures described by SPHARM is presented. We combine a dimension reduction technique (functional principal component analysis or functional independent component analysis) with stepwise variable selection for linear discriminant classification. This procedure is compared with many well-known methods in a novel classification problem in neuroeducation, where the reversal error (a common error in mathematical problem solving) is analyzed by using the left and right putamens of 33 participants. The comparison shows that our proposal not only provides outstanding performance in terms of predictive power, but it is also valuable in terms of interpretation, since it yields a linear discriminant function for 3D structures. [-]
Investigation project
Spanish Ministry of Science, Innovation and Universities (AEI/FEDER, EU) (DPI2017-87333-R) ; Universitat Jaume I (UJI-A2017-8 and UJI-B2017-13).Rights
© 2020 Published by Elsevier Inc.
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
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- IF_Articles [318]
- EDE_Articles [420]
- MAT_Articles [766]
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