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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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