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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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