Abstract #2098
Subcortical structures in resting state fMRI: uncovering functional networks involving deep-brain structures using non-local mean denoising at 1.5T
Michal Bernier 1 , Maxime Chamberland 1 , Stephen Cunnane 2 , and Kevin Whittingstall 3
1
Nuclear medecine and radiobiology,
Universit de Sherbrooke, Sherbrooke, QC, Canada,
2
Institut
universitaire de griatrie de Sherbrooke, Universit de
Sherbrooke, Sherbrooke, QC, Canada,
3
Diagnostic
radiology, Universit de Sherbrooke, Sherbrooke, QC,
Canada
Using non-local mean denoising, we present a reliable
method to efficiently uncover subcortical correlated
areas in task-based functional network. The regions of
interest (ROIs) obtained in both subcortical areas and
key structures involving task-based activations with our
denoising pipeline allow a better representation of
known functional networks involving subcortical
structures in resting state fMRI in typical clinical MRI
(1.5 T).
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