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. 2019 Feb 26;13:62. doi: 10.3389/fnhum.2019.00062

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Copyright © 2019 Zhai and Li.

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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Principal component analysis results. (A) Variance explained by the first 10 components. (B) Variance explained by the first 100 components. (C) The first ten components which were most closely correlated with age. (D) The coefficients of PC 4 across subjects (y-axis) vs. ages of subjects (x-axis) fitted by a linear regression model.