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Abstract #0892

Fixel-based morphometry detects alterations in specific fibres in association with preterm birth: a proof-of-concept study.

Manuel Blesa1, Ahmed Serag1, Devasuda Anblagan1,2, Emma J. Telford1, Sarah A. Sparrow1, Scott I. Semple3, Mark E. Bastin2, and James P. Boardman1,2

1MRC Centre for Reproductive Health, University of Edinburgh, edinburgh, United Kingdom, 2Centre for Clinical Brain Sciences, University of Edinburgh, edinburgh, United Kingdom, 3Clinical Research Imaging Centre, University of Edinburgh, edinburgh, United Kingdom

Preterm birth is closely associated with diffuse white matter injury which contributes to long term neurocognitive impairment among survivors. Fixel-based analysis (FBA) is the study of specific fibre populations within a voxel; it provides measures of fibre bundle morphology by combining information about fibre density with structure. In this work, we applied FBA to neonatal dMRI data and provide proof-of-concept that fibre density and fibre bundle cross section may be useful measures for evaluating alterations to brain development associated with preterm birth.

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