Abstract #2311

The footprint of physiology in ultra-fast RS-FMRI

Daniel P Gomez¹, Zahra Fazal², José P Marques², and David G Norris²

¹Radboud University, Nijmegen, Netherlands, ²Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, Netherlands

In the current contribution we study the footprint of physiology in ultra-fast RS-FMRI timeseries by examining RSNs obtained from full brain EPI data acquired with a sampling rate of 158ms.

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