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Abstract #1428

Disruptions of resting state functional MRI networks in comatose cardiac arrest patients

Ona Wu1, Brian L. Edlow2, Katherine Mott1, Gaston Cudemus-Deseda3, Ming Ming Ning2, Marjorie Villien1, William A. Copen4, James L. Januzzi5, Joseph T. Giacino6, Eric S. Rosenthal2, and David M. Greer7

1Athinoula A Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States, 2Department of Neurology, Massachusetts General Hospital, Boston, MA, United States, 3Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, United States, 4Department of Radiology, Massachusetts General Hospital, Boston, MA, United States, 5Department of Cardiology, Massachusetts General Hospital, Boston, MA, United States, 6Department of Psychiatry, Spaulding Rehabilitation Hospital, Charlestown, MA, United States, 7Department of Neurology, Yale School of Medicine, New Haven, CT, United States

Cardiac arrest patients who were comatose for more than 24 hours were prospectively studied to determine whether changes in the default mode network (DMN) and thalamocortical network (TCN) can be used to predict recovery of arousal. Arousal recovery was defined as either spontaneous eye opening or eye opening in response to stimuli prior to discharge. All patients had significantly altered DMN and TCN networks compared to healthy controls, with patients who failed to demonstrate eye opening having significantly greater disruption. Resting-state functional MRI may play an important role in predicting recovery and patient management decisions in comatose cardiac arrest patients.

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Abstract