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Abstract #4374

Static and Dynamic Characteristics of Resting State CBF in Newborn Infants

Feng Liu1,2, Zhishun Wang1,2, Yunsuo Duan1,2, Fernando Zelaya3, David J. Lythgoe3, Alayar Kangarlu1,2, Bradley S. Peterson1,2

1Psychiatry, Columbia University, New York, NY, United States; 2New York State Psychiatric Institute, New York, NY, United States; 3Institute of Psychiatry, Kings College London, University of London, London, United Kingdom

Resting-state networks in the infant brain have been studied recently using BOLD fMRI in order to better understand the early developmental phase of default mode network. Perfusion MRI with arterial spin labeling (ASL) has been implemented to study resting-state functional connectivity in the adult brain. We applied pulsed ASL on unsedated, sleeping newborns, and studied the static and dynamic characteristics of cerebral blood flow (CBF) with a method using high-pass filtering and demodulation. We demonstrated the ability to detect the functional connectivity using the CBF fluctuation extracted from ASL signals during the resting state of newborns.