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The subtraction matrices were then compared between ArchT and control groups, again using NBS.

The inverse of the transformation matrices were then used to transform the binary cortical ROIs into diffusion space for use in the tractography analysis.

Mature matrices were then denuded of cells using lysis buffer (PBS containing 20 mM NH4OH and 0.5%% (vol/vol) Triton X-100).

These three matrices were then normalized to have the same average sum of squares (computed across all subjects and all voxels for each modality) to ensure all modalities had the same ranges.

Deterministic tractography was performed on each dataset and inter-regional connectivity matrices were then derived by applying each of three widely used whole-brain parcellation schemes over a range of spatial resolutions.

The two data matrices were then combined for 12139 common probe-sets obtaining an expression matrix of dimensions 12139×6736.

The matrices are then distributed by hand.

Group comparison of the PPI matrices was then done using the Network-based statistic (NBS) approach50, see below for details.

The two matrices are then passed to FM synthesis process to generate corresponding notes using PWM output of the microcontroller.

Homogenous transformation matrices are then employed to derive the CMM ability function matrix and the measuring probe location matrix.

The extracted substructural flexibility matrices are then used as references for updating the corresponding substructural models.