Eigenvector Centrality Mapping for Analyzing Connectivity Patterns in fMRI Data of the Human Brain

Functional magnetic resonance data acquired in a task-absent condition (“resting state”) require new data analysis techniques that do not depend on an activation model. In this work, we introduce an alternative assumption- and parameter-free method based on a particular form of node centrality calle...

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Detalles Bibliográficos
Autores principales: Lohmann, Gabriele, Margulies, Daniel S., Horstmann, Annette, Pleger, Burkhard, Lepsien, Joeran, Goldhahn, Dirk, Schloegl, Haiko, Stumvoll, Michael, Villringer, Arno, Turner, Robert
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2860504/
https://www.ncbi.nlm.nih.gov/pubmed/20436911
http://dx.doi.org/10.1371/journal.pone.0010232

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2860504/
https://www.ncbi.nlm.nih.gov/pubmed/20436911
http://dx.doi.org/10.1371/journal.pone.0010232

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