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. Author manuscript; available in PMC: 2017 Nov 1.
Published in final edited form as: Neurosci Biobehav Rev. 2016 Jul 25;70:271–287. doi: 10.1016/j.neubiorev.2016.07.024

Table 3.

Meta-Analytic Results for Linear and Quadratic Effects of Age on Cingulum Microstructure.

Model # Studies # Models Age Range Beta (Age) p Beta (Age2) p R2 Adjusted R2 SSE
FA
Linear 10 13 1–90 −0.474 .001 - - 0.119 0.094 427.95
Quadratic 10 13 1–90 1.597 .001 -2.096 .001 0.406 0.388 288.621*
Linear 10 13 10–20 0.218 .001 - - 0.859 0.844 12.173
Quadratic 10 13 10–20 0.834 .021 0.619 .084 0.862 0.846 11.891
MD
Linear 4 6 1–70 0.512 .001 - - 0.137 0.11 168.277
Quadratic 4 6 1–70 −2.485 .001 2.841 .001 0.472 0.453 102.886*
Linear 4 6 10–20 −0.23 .001 - - 0.836 0.817 7.313
Quadratic 4 6 10–20 −0.95 .122 0.722 .236 0.841 0.818 7.109
AD
Linear 4 6 1–70 −0.983 .001 - - 0.547 0.534 99.68
Quadratic 4 6 1–70 −2.105 .001 1.112 .001 0.615 0.602 84.788*
Linear 4 6 10–20 −0.151 .002 - - 0.897 0.885 5.795
Quadratic 4 6 10–20 0.263 .551 −0.415 .389 0.898 0.885 5.712
RD
Linear 4 6 1–70 0.509 .001 - - 0.146 0.123 187.807
Quadratic 4 6 1–70 −2.421 .001 2.904 .001 0.608 0.595 86.245*
Linear 4 6 10–20 −0.173 .002 - - 0.862 0.846 4.78
Quadratic 4 6 10–20 −0.618 .270 0.445 .424 0.864 0.845 4.721

Note. Boldface text indicates model with better fit according to likelihood ratio test.