Abstract #4218
Separation of BOLD and non-BOLD drifts in multi-echo fMRI
Jennifer Evans 1 , Prantik Kundu 1 , Silvina Horovitz 2 , and Peter Bandettini 1
1
SFIM/NIMH, NIH, Bethesda, Maryland, United
States,
2
NIH,
Bethesda, United States
Its known that fMRI time series tend to slowly drift,
and removing drifts using linear regression also removes
slow BOLD changes that might be occurring. Conventional
single echo fMRI cannot separate non-BOLD based signal
drifts from neurally related changes in BOLD. In this
study, we demonstrate that multi-echo independent
components analysis (MEICA) (Kundu, 2012) of multi-echo
fMRI data can separate these two mixed low frequency
signals and show very slow BOLD changes in the visual
cortex from visual stimulation with slowly varying
contrast and in resting state.
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