We propose a methodological framework for exploring complex multi-modal imaging data from a neuroscience study with the aim of identifying a data-driven group structure in the patients sample, possibly connected with the presence/absence of lifetime mental disorder. The functional covariances of fMRI signals are first considered as data objects. Appropriate clustering procedures and low dimensional representations are proposed. For inference, a Frechet estimator of both the covariance operator itself and the average covariance operator is used. A permutation procedure to test the equality of the covariance operators between two groups is also considered. We finally propose a method to incorporate spatial dependencies between different brain regions, merging the information from both the Structural Networks and the Dynamic functional activity.
Cappozzo, A., Ferraccioli, F., Stefanucci, M., Secchi, P. (2018). An Object Oriented Approach to Multimodal Imaging Data in Neuroscience. In Studies in Neural data Science (pp. 57-73). 233 SPRING STREET, NEW YORK, NY 10013, UNITED STATES : SPRINGER [10.1007/978-3-030-00039-4_4].
An Object Oriented Approach to Multimodal Imaging Data in Neuroscience
Stefanucci M.;
2018-01-01
Abstract
We propose a methodological framework for exploring complex multi-modal imaging data from a neuroscience study with the aim of identifying a data-driven group structure in the patients sample, possibly connected with the presence/absence of lifetime mental disorder. The functional covariances of fMRI signals are first considered as data objects. Appropriate clustering procedures and low dimensional representations are proposed. For inference, a Frechet estimator of both the covariance operator itself and the average covariance operator is used. A permutation procedure to test the equality of the covariance operators between two groups is also considered. We finally propose a method to incorporate spatial dependencies between different brain regions, merging the information from both the Structural Networks and the Dynamic functional activity.File | Dimensione | Formato | |
---|---|---|---|
2018 - Cappozzo, Ferraccioli, Stefanucci, Secchi - An object oriented approach to multimodal imaging data in neuroscience. In Studies in Neural Data Science.pdf
solo utenti autorizzati
Tipologia:
Versione Editoriale (PDF)
Licenza:
Copyright dell'editore
Dimensione
1.04 MB
Formato
Adobe PDF
|
1.04 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.