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. 2017 Oct 31;9:343. doi: 10.3389/fnagi.2017.00343

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Copyright © 2017 MacIntosh, Edwards, Kang, Cogo-Moreira, Chen, Mochizuki, Herrmann and Swardfager.

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) or licensor 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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Composite scores for mobility and cognition were derived from 3 or 4 variables, respectively. Factor analysis produced one factor for mobility (A) and one factor for cognition (B). The numbers adjacent to the lines in (A,B) denote the factor loadings onto the composite score. The correlation matrix describes the individual correlation for the mobility data (C) and cognitive data (D). The color bars in (C,D) represent correlation coefficient values ranging from −1 to 1. The size of the ellipse indicates the degree of shared variance between each of the variables (wide ellipse, low correlation; narrow ellipse, high correlation). BBS, Berg Balance Scale; CMSA-leg, Chedoke-McMaster Stroke Assessment leg score.