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. 2019 Nov 27;13:1282. doi: 10.3389/fnins.2019.01282

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Copyright © 2019 Chen, Cao and Tian.

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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Resting state functional connections made significant contributions shared across the PLSR models established in the first and fourth set of estimations. For each model, RSFCs made significant contributions are marked with yellow, RSFCs made non-significant contributions are marked with blue, and common features between the two models are vertically aligned. Respectively, among the 437, 653, 741, 473, and 536 RSFCs that made significant contributions to the simultaneous estimations of (A) age, (B) education, (C) CSFC, (D) CSCC, and (E) CSOC, 396, 608, 714, 429, and 481 were in common between the multi- and single-label learning.