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Abstract #2398

Detecting resting-state brain functional networks using oxygen extraction fraction contrast

Yang Yang1, Yayan Yin1, Qihong Zou1, Yang Fan2, and Jia-Hong Gao1

1Center for MRI Research, Peking University, Beijing, China, 2MR Research China, GE Healthcare, Beijing, China

The traditional resting-state fMRI studies are based on the blood oxygenation level dependent (BOLD) contrast. Compared with BOLD, the oxygen extraction fraction (OEF) can more directly reflect the neuronal activities. However, due to the poor temporal resolution of existing OEF techniques, there is no study detecting resting-state networks with OEF contrast. In this study, the OEF contrast based resting-state networks were investigated through a newly proposed technique. Both seed-based correlation and independent component analysis were used and the results suggested that OEF can be used as an effective contrast to study resting-state brain networks.

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