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Abstract #2318

Differentiating BOLD and Non-BOLD Signals in 11.7 Tesla Rat Resting State fMRI

Prantik Kundu1, 2, Mathieu David Santin3, Alexandra Petiet3, Peter A. Bandettini4, Ed Bullmore2, Stphane Lehricy3

1Section on Functional Imaging Mehthods, NIMH, Bethesda, MD, United States; 2Dept. of Psychiatry, University of Cambridge, Cambridge, Cambridgeshire, United Kingdom; 3UPMC/INSERM UMR_975 CNRS 7225, CENIR,ICM,CRICM, Paris, France; 4Section on Functional Imaging Mehthods, National Institute of Mental Health, Bethesda, MD, United States

Rat resting state fMRI (rs-fMRI) is an exciting platform for functional and pharmacological neuroscience, but its capabilities and limits are not yet well understood. Distinguishing neuronally-related BOLD signals from non-BOLD artifact in rat rs-fMRI is an important methodological step. Here we distinguish BOLD and non-BOLD signals in rat rs-fMRI using multi-echo ICA. We show multi-echo ICA of 11.7T rat fMRI data produces consistent components showing clear localization of functionally and neuropharmacologically interesting brain areas.