Abstract #2399

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

Atsushi Tachibana^1,2,3, Yoko Ikoma¹, Yasuhiko Tachibana¹, Jeff Kershaw¹, Yoshiyuki Hirano⁴, Katsutoshi Murata⁵, Tatsuya Higashi¹, and Takayuki Obata^1,2

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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