000183743 001__ 183743
000183743 005__ 20181203022944.0
000183743 0247_ $$2doi$$a10.1016/j.mri.2012.07.001
000183743 022__ $$a1873-5894
000183743 02470 $$2ISI$$a000314440900006
000183743 037__ $$aARTICLE
000183743 245__ $$aSignal fluctuations in fMRI data acquired with 2D-EPI and 3D-EPI at 7 Tesla
000183743 260__ $$aNew York$$bElsevier Science Inc$$c2012
000183743 269__ $$a2012
000183743 300__ $$a9
000183743 336__ $$aJournal Articles
000183743 520__ $$aSegmented three-dimensional echo planar imaging (3D-EPI) provides higher image signal-to-noise ratio (SNR) than standard single-shot two-dimensional echo planar imaging (2D-EPI), but is more sensitive to physiological noise. The aim of this study was to compare physiological noise removal efficiency in single-shot 2D-EPI and segmented 3D-EPI acquired at 7 Tesla. Two approaches were investigated based either on physiological regressors (PR) derived from cardiac and respiratory phases, or on principal component analysis (PCA) using additional resting-state data. Results show that, prior to physiological noise removal, 2D-EPI data had higher temporal SNR (tSNR), while spatial SNR was higher in 3D-EPI. Blood oxygen level dependent (BOLD) sensitivity was similar for both methods. The PR-based approach allowed characterization of relative contributions from different noise sources, confirming significant increases in physiological noise from 2D to 3D prior to correction. Both physiological noise removal approaches produced significant increases in tSNR and BOLD sensitivity, and these increases were larger for 3D-EPI, resulting in higher BOLD sensitivity in the 3D-EPI than in the 2D-EPI data. The PCA-based approach was the most effective correction method, yielding higher tSNR values for 3D-EPI than for 2D-EPI postcorrection.
000183743 6531_ $$aSignal fluctuations
000183743 6531_ $$aPhysiological noise
000183743 6531_ $$aSegmented 3D-EPI
000183743 6531_ $$aBOLD fMRI
000183743 6531_ $$aUltra-high field
000183743 6531_ $$aCIBM-AIT
000183743 700__ $$aJorge, João
000183743 700__ $$aFigueiredo, Patrícia
000183743 700__ $$0243732$$avan der Zwaag, Wietske$$g176249
000183743 700__ $$aMarques, José P.
000183743 773__ $$j31$$k2$$q212-20$$tMagnetic resonance imaging
000183743 909C0 $$0252477$$pCIBM$$xU12623
000183743 909C0 $$0252276$$pLIFMET$$xU10984
000183743 909CO $$ooai:infoscience.tind.io:183743$$pSB$$particle
000183743 917Z8 $$x161735
000183743 917Z8 $$x161735
000183743 917Z8 $$x161735
000183743 937__ $$aEPFL-ARTICLE-183743
000183743 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000183743 980__ $$aARTICLE