Dynamic Functional Connectivity

Venue: lecture room 31

Dynamic analysis of resting state functional MRI data is a burgeoning field, but critical issues about the analysis methods and the interpretation of the results remain unclear.  Sliding window correlation is widely used, but recent studies show that it does not provide an accurate estimate of the actual changes in correlation over the course of a scan.  Nevertheless, differences in patient population and individual performance levels have been successfully detected using sliding windows, suggesting that the method retains sensitivity to relevant structure within the data.  This symposium will bring together different perspectives on when sliding window approaches work and when they fail, discuss other techniques that may prove more sensitive to network dynamics, and begin to examine how the brain states identified with dynamic connectivity analysis relate to underlying changes in cognitive state.

Vince Calhoun
MIND Research Network, Albuquerque, USA
The chronnectome: incorporating time into the whole-brain functional connectome

Shella Keilholz
Emory University, Atlanta, USA
Sliding window correlation successes and failures

Gustavo Deco
Universitat Pompeu Fabra / ICREA, Barcelona, Spain
Tracking states of vigilance and consciousness with dynamic functional connectivity

Peter Bandettini
National Institutes of Health, Bethesda, USA
Dynamic Connectivity vs Magnitude Changes for Assessment of Ongoing Brain Activity

Cesar Caballero
Basque Center on Cognition, Brain, and Language, Donostia-San Sebastian, Spain
The power of BOLD deconvolution for mapping the brain’s functional dynamics in individual subjects

Hot topics session/panel discussion