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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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