please rewrite this paragraph "Preprocessing of diffusion-weighted images included: denoising the data (Veraart et al., 2016) using MRtrix3 , correction of EPI distortions (Holland et al., 2010), correction for motion and eddy-current distortions (Andersson and Sotiropoulos, 2016) using FSL , and bias field correction (Tustison et al., 2010) using ANTs . After preprocessing, fiber orientation distributions (FODs) were estimated for each subject using the Multi-Shell Multi-Tissue Constrained Spherical Deconvolution (MSMT-CSD) algorithm (Jeurissen et al., 2014) using group averaged response functions for white matter, grey matter, and CSF (Dhollander et al., 2016). To create a whole-brain tractogram using Anatomically Constrained Tractography (ACT) algorithm, tissue classification for 5 different tissue types (cortical gray matter, subcortical gray matter, white matter, CSF and pathological tissue) were generated from the anatomical data. Next, anatomical images were co-registered to averaged b0 using FLIRT toolbox of FSL. Analysis of five million streamlines was performed over the entire brain through probabilistic tractography, which was implemented in the MRtrix. The cortex parcellation with 7 networks for each hemisphere (200 parcels) (Schaefer et al., 2018) was used to generate the structural connectome including the default mode network (DMN; 27 nodes), the limbic network (6 nodes), the visual network (14 nodes), the somatomotor network (SMN;16 nodes), the frontoparietal network (13 nodes), the dorsal attention network (DAN; 13 nodes), and the ventral attention network (VAN; 11 nodes) (supplementary Table 1). We added 14 subcortical areas to the atlas using the FIRST command in FSL software. For each participant, 214 × 214 connectivity matrices were derived using the number of streamlines connecting between each pair of regions, where 214 is the total number of nodes. The COMMIT2 algorithm was then applied to remove false positive streamlines and filter the raw connectome. Finally, the raw and COMMIT-weighted connectomes were constructed for each subject" and add these sentences to it :In this study, we utilized a methodology for generating the structural connectome and constructing tractography-based connectomes using diffusion-weighted images (DWIs) in MRtrix. The basic principle for generating the structural connectome involved first preprocessing the DWIs to correct any distortions and register them to the anatomical image. Next, we performed tractography using the MRtrix software to create fiber streamlines in the brain. These streamlines represent the white matter pathways connecting different regions of the brain. From these streamlines, we calculated the connectivity matrix, which provides information on the strength and directionality of the connections between different brain regions. To construct tractography-based connectomes, we utilized the connectivity matrix and a network graph theory approach. This involved defining nodes representing different brain regions based on a parcellation map, and edges representing the connectivity between the nodes. We applied graph theory measures to analyze the topology of the network and identify any changes in connectivity patterns.