Abstract #0589
Individual-subject mapping of functional networks from sparse spontaneous BOLD events
Cesar Caballero Gaudes 1 , Ziad S Saad 2 , Mathijs Raemaekers 3 , Nick F. Ramsey 3 , and Natalia Petridou 4
1
BCBL. Basque Center on Cognition, Brain and
Language, Donostia, Guipuzcoa, Spain,
2
Statistical
and Scientific Computing Core, National Institute of
Mental Health, National Institutes of Health, Bethesda,
MD, United States,
3
Brain
Center Rudolf Magnus, Department of Neurology and
Neurosurgery, UMC Utrecht, Utrecht, Netherlands,
4
Radiology,
Imaging Division, UMC Utrecht, Utrecht, Netherlands
While most analysis approaches assume temporal
stationarity in the study of brain functional
connectivity, there is increasing evidence that
spontaneous activity in functional networks also
comprise more dynamic and transient states. Inferences
about dynamic functional connectivity are usually
established upon group analyses, thereby inherently
excluding the characterization of brain states relating
to an individuals specific cognitive and mental
processes. Here, we demonstrate that functional networks
can robustly mapped from sparse and brief spontaneous
BOLD events in individual subjects by using sparse
paradigm free mapping and clustering techniques, as well
as benefiting from the high BOLD sensitivity available
at 7T and high temporal resolution of 3D-PRESTO
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