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Abstract #0771

Analysis of in vivo microstructural features during the first weeks of life using structural brain networks

Dafnis Batalle 1 , Emer J Hughes 1 , Hui Zhang 2 , Jaques-Donald Tournier 1 , Nora Tusor 1 , Paul Aljabar 1 , Daniel C Alexander 2 , Joseph V Hajnal 1 , A David Edwards 1 , and Serena J Counsell 1

1 Centre for the Developing Brain, King's College London, London, United Kingdom, 2 Computer Science & Centre for Medical Image Computing, University College London, London, United Kingdom

In this study, we used neurite orientation dispersion and density imaging (NODDI) parameters (neurite density index and orientation dispersion index) in combination with high angular resolution diffusion imaging (HARDI) tractography to assess the evolution of brain connectivity during very early infancy (29-45 weeks post menstrual age, PMA), exploiting the versatility of network analysis. We compared the results with those obtained using classical stream count (SC) and fractional anisotropy (FA) as connectivity weights. The results indicated a significant correlation of network features weighted with NODDI parameters and PMA, while SC and FA features did not show any significant correlation.

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