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@@ -7,4 +7,6 @@ The following surfaces were generated: pial, mid-thickness, white matter and ver
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+The template was generated following the procedure developed for the neonatal surface atlas in Bozek et al.(2018 NeuroImage, 179, 11–29), which iteratively refines templates through a repeated alignment of individuals to a common space using the MSM algorithm. The first stage was to generate a common reference space, which was initialised via affine sulcal-depth-based registration to the dHCP neonatal GW36 template. From this, an initial set of age-specific templates was then generated through adaptive kernel-weighted averaging of co-registered surfaces, where weights were given by a Gaussian kernel, centered at each GW, with width adapted for each template to compensate for differences in the number of available scans. At subsequent 5 iterations, age-specific templates were obtained through non-rigid MSM alignment of all examples to the template from the previous iteration. This was driven by sulcal depth (for the 2nd iteration) and mean curvature thereafter.
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