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. Author manuscript; available in PMC: 2023 Dec 12.
Published in final edited form as: Neuroimage. 2022 Dec 10;266:119807. doi: 10.1016/j.neuroimage.2022.119807

Fig. 6.

Fig. 6.

Association to histological markers. (A) Selected sagittal and coronal slices from the BigBrain atlas. (B) Example Python code for computing gradients of microstructural profile covariance for the Schaefer-400 parcellation. Histology profiles, as computed in the BigBrainWarp toolbox, are loaded. From these profiles, a microstructural profile covariance matrix is built, and used to compute gradients of histology. (C) Gradients derived from the microstructural profile covariance of the BigBrain atlas. (D) The scatter plot of the t-statistic map and the first gradient of microstructural profile covariance. Figure plotting code was omitted for brevity. See the supplemental Jupyter notebook (Python) and live script (MATLAB) for executable versions of this code as well as additional figure building code.