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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