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Abstract #2068

Improved Retrospective Motion Correction in fMRI using A Biophysical Model

Tim M Tierney 1 , Louise J Croft 2 , Maria Centeno 1 , Elhum A Shamshiri 1 , Suejen Perani 1,3 , Torsten Baldeweg 2 , Christopher A Clark 1 , and David W Carmichael 1

1 Developmental Imaging and Biophysics, UCL Institute of Child Health, London, United Kingdom, 2 Cognitive Neuroscience and Neuropsychiatry, UCL Institute of Child Health, London, United Kingdom, 3 Department of Basic and Clinical Neuroscienc, KCL Institute of Psychiatry, Psychology & Neuroscience, London, United Kingdom

Subject head motion negatively affects task based fMRI and connectivity based studies. We have developed a biophysical model named FIACH to address these issues. FIACH is a biophysical model of motion correction that employs a two-step procedure for motion correction. We have demonstrated it performs better than four other methods of retrospective motion correction. This was demonstrated in a paediatric population during overt speech where subject motion is common. FIACH is also capable of correcting data near inferior temporal areas. These areas have proven problematic for fMRI and FIACH provides the opportunity to improve knowledge of these areas function.

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