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. Author manuscript; available in PMC: 2023 Sep 1.
Published in final edited form as: Neuroimage. 2023 Jul 27;278:120283. doi: 10.1016/j.neuroimage.2023.120283

Fig. 4.

Fig. 4.

Comparison of our global cortical thickness (top) and gyrification index (GI, bottom) values with data collected from literature for the 12 species investigated. The dashed lines represent unity. Global data (●) were collected when available; if not, regional data (▲) were averaged to get a global estimate. Error bars represent the cumulative standard deviation of all standard deviations collected from each publication. A methodological comparison was also conducted comparing results for the same specimen from our computational pipeline to Freesurfer’s and CAT12’s surface-based morphometry approach (humans and chimpanzees respectively) and ANT’s volumetric cortical thickness algorithm (rhesus macaques) (■). Sources for cortical thickness data are listed in Table 3; all GI values were found in Zilles et al. (2013). The full cortical thickness data represented in this figure is available on Github (https://github.com/mholla/NIMG23).