Abstract #2049
Comparing resting state fMRI cleaning approaches using multi- and single-echo acquisitions in healthy controls and patients with ADHD
Ottavia Dipasquale 1,2 , Arjun Sethi 3 , Maria Marcella Lagan 2 , Francesca Baglio 2 , Prantik Kundu 4 , Giuseppe Baselli 1 , Neil A Harrison 3 , and Mara Cercignani 3
1
Politecnico di Milano, Milan, MI, Italy,
2
IRCCS,
Don Gnocchi Foundation, Milan, MI, Italy,
3
Clinical
Imaging Sciences Centre, Brighton and Sussex Medical
School, Brighton, United Kingdom,
4
Section
on Advanced Functional Neuroimaging, Brain Imaging
Center, Icahn School of Medicine at Mount Sinai, New
York, NY, United States
Artifact removal is an intrinsic challenge of resting
state fMRI data, since images are acquired without
experimental modulation of brain function, thus with no
a-priori knowledge about the signal of interest. The aim
of this study was to compare some data-driven cleaning
procedures based on single- and multi-echo acquisitions.
We qualitatively show the ability of the different
methods to remove artifacts from a dataset that includes
both typical subjects and subjects with a
neuropsychiatric disorder, characterised by restlessness
and high degree of head movements.
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