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. 2018 Dec 13;10:404. doi: 10.3389/fnagi.2018.00404

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Copyright © 2018 Wang, Khosrowabadi, Ng, Hong, Chong, Wang, Chen, Hilal, Venketasubramanian, Wong, Chen, Ikram and Zhou.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Study design schematic. We studied the network topological changes in patients with mild cognitive impairment no dementia (CIND) and moderate CIND compared to healthy controls. Subject-level structural connectome (SC) was derived from diffusion MRI data using probabilistic fiber tracking based on 126 regions of interests (see Methods for details). Subject-level functional connectome (FC) was derived from task-free fMRI data based on pairwise Pearson's correlations between the 126 regions of interests. Graph theoretical global-wise and nodal-wise metrics were computed for both connectomes. Furthermore, SC-FC coupling was evaluated as the Pearson's correlation between the structural matrices and functional matrices both at the individual and group levels. Alterations in structural and functional network topology metrics as well as SC-FC coupling measures were compared across groups and subsequently associated with cognitive performance.