Fig. 1: Image processing and analysis workflow.

A We processed diffusion and T1w MR images from 100 subjects of the HCP dataset to construct a full brain connectome. The fibre orientation distribution images were used together with TractSeg to estimate volumetric masks for major fibre bundles and to extract bundle specific connectomes. B We constructed two reservoir networks from full brain connectomes, where the second network was lesioned by removing a specific fibre bundle bilaterally. The reservoir pair was then used for the intact/scrambled narrative task, where a narrative input signal is projected to one of the 7 Networks of the Schaefer parcellation. In the task, each reservoir receives subsequently the input twice, while the order of the first input is intact, the midsection of the second input is scrambled. For each brain region of the reservoir we obtained simulated differences in activity due to these different inputs. The last segment of the input contains the intact order again, thus one can measure the alignment time for each brain region of the network to show similar activity. Finally, we compared the difference in alignment time due to lesions.