Sep 17, 2013

Integrated strategy for improving functional connectivity mapping using multiecho fMRI

Proceedings of the National Academy of Sciences of the United States of America
Prantik KunduEdward T Bullmore


Functional connectivity analysis of resting state blood oxygen level-dependent (BOLD) functional MRI is widely used for noninvasively studying brain functional networks. Recent findings have indicated, however, that even small (≤1 mm) amounts of head movement during scanning can disproportionately bias connectivity estimates, despite various preprocessing efforts. Further complications for interregional connectivity estimation from time domain signals include the unaccounted reduction in BOLD degrees of freedom related to sensitivity losses from high subject motion. To address these issues, we describe an integrated strategy for data acquisition, denoising, and connectivity estimation. This strategy builds on our previously published technique combining data acquisition with multiecho (ME) echo planar imaging and analysis with spatial independent component analysis (ICA), called ME-ICA, which distinguishes BOLD (neuronal) and non-BOLD (artifactual) components based on linear echo-time dependence of signals-a characteristic property of BOLD T*2 signal changes. Here we show for 32 control subjects that this method provides a physically principled and nearly operator-independent way of removing complex artifacts such as motion fro...Continue Reading

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Mentioned in this Paper

Morphologic Artifacts
Optical Image Reconstruction
Neural Pathways
Signal-To-Noise Ratio
Head Movements
Functional Cerebral Localization
Interphase Cell

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