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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