A structural enriched functional network: An application to predict brain cognitive performance

•A new method incorporating GraphNet and simplex constraints is proposed to estimate interpretable and structural enriched functional brain networks.•An efficient optimization algorithm using the projected gradient descent method is proposed for the construction of structural enriched functional bra...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Medical image analysis Jg. 71; S. 102026
Hauptverfasser:	Kim, Mansu, Bao, Jingxuan, Liu, Kefei, Park, Bo-yong, Park, Hyunjin, Baik, Jae Young, Shen, Li
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Netherlands Elsevier B.V 01.07.2021 Elsevier BV
Schlagworte:	Brain Cognitive ability Enrichment Functional anatomy Functional network Graph-constrained elastic net Magnetic resonance imaging Nervous system Neuroimaging Performance enhancement Performance prediction Regression models Simplex regression Structure-function coupling Structure-function relationships Structure-function coupling Graph-constrained elastic net Simplex regression Functional network
ISSN:	1361-8415, 1361-8423, 1361-8423
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!