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.