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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...
Autores principales: | Lohmann, Gabriele, Margulies, Daniel S., Horstmann, Annette, Pleger, Burkhard, Lepsien, Joeran, Goldhahn, Dirk, Schloegl, Haiko, Stumvoll, Michael, Villringer, Arno, Turner, Robert |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2010
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Materias: | |
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 |
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