Broadband Criticality of Human Brain Network Synchronization Export

@article{citeulike:4255367, abstract = {Author Summary Systems in a critical state are poised on the cusp of a transition between ordered and random behavior. At this point, they demonstrate complex patterning of fluctuations at all scales of space and time. Criticality is an attractive model for brain dynamics because it optimizes information transfer, storage capacity, and sensitivity to external stimuli in computational models. However, to date there has been little direct experimental evidence for critical dynamics of human brain networks. Here, we considered two measures of functional coupling or phase synchronization between components of a dynamic system: the phase lock interval or duration of synchronization between a specific pair of time series or processes in the system and the lability of global synchronization among all pairs of processes. We confirmed that both synchronization metrics demonstrated scale invariant behaviors in two computational models of critical dynamics as well as in human brain functional systems oscillating at low frequencies (}, author = {Kitzbichler, Manfred G. and Smith, Marie L. and Christensen, S{\o}ren R. and Bullmore, Ed}, citeulike-article-id = {4255367}, citeulike-linkout-0 = {http://dx.doi.org/10.1371/journal.pcbi.1000314}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/19300473}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=19300473}, day = {20}, doi = {10.1371/journal.pcbi.1000314}, issn = {1553-7358}, journal = {PLoS Comput Biol}, keywords = {criticality, fmri, meg, oscillation}, month = {March}, number = {3}, pages = {e1000314+}, posted-at = {2009-04-02 08:52:30}, priority = {2}, publisher = {Public Library of Science}, title = {Broadband Criticality of Human Brain Network Synchronization}, url = {http://dx.doi.org/10.1371/journal.pcbi.1000314}, volume = {5}, year = {2009} }

TY - JOUR ID - citeulike:4255367 L3 - citeulike-article-id:4255367 N2 - Author Summary Systems in a critical state are poised on the cusp of a transition between ordered and random behavior. At this point, they demonstrate complex patterning of fluctuations at all scales of space and time. Criticality is an attractive model for brain dynamics because it optimizes information transfer, storage capacity, and sensitivity to external stimuli in computational models. However, to date there has been little direct experimental evidence for critical dynamics of human brain networks. Here, we considered two measures of functional coupling or phase synchronization between components of a dynamic system: the phase lock interval or duration of synchronization between a specific pair of time series or processes in the system and the lability of global synchronization among all pairs of processes. We confirmed that both synchronization metrics demonstrated scale invariant behaviors in two computational models of critical dynamics as well as in human brain functional systems oscillating at low frequencies ( IS - 3 JF - PLoS Comput Biol SN - 1553-7358 TI - Broadband Criticality of Human Brain Network Synchronization PB - Public Library of Science VL - 5 SP - e1000314 KW - criticality KW - fmri KW - meg KW - oscillation AU - Kitzbichler, Manfred AU - Smith, Marie AU - Christensen, Søren AU - Bullmore, Ed PY - 2009/03/20/ UR - http://dx.doi.org/10.1371/journal.pcbi.1000314 ER -