By Topic

Small-world properties of human brain functional networks based on resting-state functional MRI

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Wentao Huang ; Coll. of Electron. & Inf. Eng., South-Central Univ. for Nat., Wuhan, China ; Youceng Feng

Studying the resting state functional activities of healthy human brain will aid us to understand the patterns of functional activities of human brain in normal or disease states. Time series of 90 brain regions were extracted from resting state functional magnetic resonance imagines in 19 healthy volunteers. Functional correlations between brain regions were calculated, and the thresholds were set to establish the simple undirected graphs, then some measurements of brain functional networks were computed, finally the degree distribution was fitted. The results confirmed that the human brain functional networks have both big clustering coefficients like regular networks and small characteristic path lengths similar like random networks, degree distribution met exponentially truncated power-law distribution. Taken together, the brain functional networks have small world properties.

Published in:

Bioelectronics and Bioinformatics (ISBB), 2011 International Symposium on

Date of Conference:

3-5 Nov. 2011