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The template was generated by adapting 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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+Karolis V, Williams L, Kyriakopoulou V, Bozek J, Uus A, Makropoulos A, Schuh A, Cordero Grande L, Hughes E, Price A, Deprez M, Rutherford M, Edwards AD, Rueckert D, Smith S, Hajnal J, Arichi T, Robinson E (2023) Developing Human Connectome Project spatio-temporal surface atlas of the fetal brain. G-Node. https://doi.org/10.12751/g-node.qj5hs7
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