Abstract #2344

Ultra-high field characterisation of resting state networks in the neonatal brain

Tomoki Arichi^1,2,3, Philippa Bridgen^2,4, Raphael Tomi-Tricot^1,4,5, Daniel Cromb¹, Paul Cawley^1,2, Megan Quirke^1,2, Anthony N Price^1,2, Enrico De Vita^1,4, Jonathan O'Muircheartaigh^1,3, Serena J Counsell¹, A David Edwards^1,3, Joseph V Hajnal^1,4, and Shaihan Malik^1,4

¹Department of Perinatal Imaging, Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, ²Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom, ³MRC Centre for Neurodevelopmental Disorders, King's College London, London, United Kingdom, ⁴London Collaborative Ultra high field System (LoCUS), Kings College London, London, United Kingdom, ⁵MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom

Synopsis

Keywords: Neonatal, fMRI (resting state)Acquiring BOLD fMRI data at ultra-high field offers marked gains in sensitivity and spatial specificity including within cortical layers and distinct subcortical nuclei. We describe the first pilot data demonstrating feasibility of characterizing resting state networks in the neonatal brain using a 7 Tesla system. In 3 neonates imaged at full term, we show that in addition to the canonical networks seen at standard field strengths, ultra-high field fMRI enables network delineation with higher spatial specificity, including better localization to the cortex and with definition of individual networks corresponding to distinct anatomical regions and tissues.

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