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. 2022 Feb 22;13:997. doi: 10.1038/s41467-022-28326-4

Fig. 1. Baby automated fiber quantification (babyAFQ) identifies white matter bundles in individual infant brains across the first 6 months of life.

Fig. 1

Twenty-four bundles (11 in each hemisphere and 2 cross-hemispheric) were successfully identified in all individuals and ages (Supplementary Fig. 8). a All bundles of an example individual infant. Each row is a bundle, each column is a timepoint; left: newborn, middle: 3 months, right: 6 months. b Comparison of AFQ and babyAFQ performances in identifying each bundle in newborns (N = 9) relative to manually defined (gold-standard) bundles. Overlap between automatically and manually defined bundles is evaluated using the dice coefficient, which reveals higher performance for babyAFQ than AFQ. Bars show mean dice coefficient ± standard error across participants; circles: individual data. Source data are provided as a Source Data file. ATR anterior thalamic radiation, CS cortico-spinal tract, pAF posterior arcuate fasciculus, VOF vertical occipital fasciculus, FcMa forceps major, FcMi forceps minor, AF arcuate fasciculus, UCI uncinate fasciculus, SLF superior longitudinal fasciculus, CC cingulum cingulate, ILF inferior longitudinal fasciculus, IFOF inferior frontal occipital fasciculus, MLF middle longitudinal fasciculus.