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Abstract #2399

Estimating the time-lag of neuronal activity for the default mode network using multi-band EPI acquisitions in resting-state fMRI

Atsushi Tachibana1,2,3, Yoko Ikoma1, Yasuhiko Tachibana1, Jeff Kershaw1, Yoshiyuki Hirano4, Katsutoshi Murata5, Tatsuya Higashi1, and Takayuki Obata1,2

1Applied MRI Research, Department of Molecular Imaging and Theranostics, National Institute of Radiological Sciences, QST, Chiba, Japan, 2Department of Radiological Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan, 3Department of Radiology, AIC Yaesu Clinic, Tokyo, Japan, 4Research Center for Child Mental Development, Chiba University, Chiba, Japan, 5Siemens Healthcare K.K., Tokyo, Japan

Conventional EPI requires a temporal resolution of 2-3 seconds to obtain whole-brain data for resting-state fMRI (rsfMRI). More recently, multi-band EPI (MB) acquisition can be used to improve temporal resolution and obtain whole-brain coverage in less than 1 second. Our hypothesis is that MB acquisition can be used to detect the time-lag of neuronal activity. In this study, we estimated the time-lag in the default mode network using conventional (TR 2000 ms) and MB (TR 500 ms) rsfMRI. Significant time-lags between PCC and AG, and between mPFC and AG were detected only for the MB acquisition.

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