The Role of Brain Network Functional Connectivity and Machine Learning for the Classification and Characterization of Disease Phenotypes in Patients with Multiple Sclerosis (2672) — Maria A. Rocca (2021) | RDL Network
The Role of Brain Network Functional Connectivity and Machine Learning for the Classification and Characterization of Disease Phenotypes in Patients with Multiple Sclerosis (2672)
Article 2021 en
Authors
MR
Maria A. Rocca
PV
Paola Valsasina
OM
Olga Marchesi
Abstract
1 min read
To develop advanced methods for the analysis of resting state (RS) functional connectivity (FC) to classify patients with multiple sclerosis (MS) according to disease phenotype.
Alessandro d’Ambrosio, Milagros Hidalgo de la Cruz, Paola Valsasina, Elisabetta Pagani, B. Colombo, Mariaemma Rodegher, Andrea Falini, Gıancarlo Comı, Massimo Filippi, Maria A. Rocca
Alessandro d’Ambrosio, Milagros Hidalgo de la Cruz, Paola Valsasina, Elisabetta Pagani, Bruno Colombo, Mariaemma Rodegher, Gıancarlo Comı, Massimo Filippi, Maria A. Rocca
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