Abstract #1413
Imaging the human brainstem at 7 Tesla using multi-modal echo-planar imaging
Florian Beissner 1 , Jonathan R. Polimeni 1 , Marta Bianciardi 1 , Ville Renvall 1,2 , Cornelius Eichner 1,3 , Vitaly Napadow 1 , and Lawrence L. Wald 1,4
1
Athinoula A. Martinos Center for Biomedical
Imaging, Charlestown, MA, United States,
2
Brain
and Mind Laboratory, Aalto University, Finland,
3
Max
Planck Institute for Human Cognitive and Brain Sciences,
Leipzig, Germany,
4
Harvard-MIT
Division of Health Sciences and Technology,
Massachusetts Institute of Technology, Cambridge, MA,
United States
The human brainstem is a notoriously difficult structure
to study with MRI. Here, we present an entirely EPI-based
approach that allows for the acquisition of T2*-weighted
functional, T1-weighted structural as well as
diffusion-weighted images at a resolution of 1.2 mm
isotropic. Due to matched voxel size and distortion,
BOLD and DTI images can be normalized to MNI space
applying transformation parameters estimated from the
T1-weighted EPI image, minimizing coregistration errors.
Using masked independent component analysis we were able
to detect brainstem nuclei at the single-subject level
and to depict their functional connectivity to the rest
of the brain.
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