Eigenvector centrality mapping for analyzing connectivity patterns in fMRI data of the human brain.

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 centra...

Full description

Bibliographic Details
Main Authors: Gabriele Lohmann, Daniel S Margulies, Annette Horstmann, Burkhard Pleger, Joeran Lepsien, Dirk Goldhahn, Haiko Schloegl, Michael Stumvoll, Arno Villringer, Robert Turner
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2010-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC2860504?pdf=render

Internet

http://europepmc.org/articles/PMC2860504?pdf=render

Similar Items