Preterm birth is closely associated with cognitive impairment and generalised dysconnectivity of developing white matter. Peak width of skeletonised DTI (MD, RD, AD, FA) and NODDI (NDI, ODI) metrics were used for characterising global connectivity during brain development. PSNDI was an excellent predictor for prematurity with an accuracy of 81 ± 10 %, followed by PSMD that achieved an accuracy of 77 ± 9 %. We conclude that the high accuracy in prediction and the ease of computation of these biomarkers make them useful new metrics of diffuse brain connectivity in neonatal populations.
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