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. Author manuscript; available in PMC: 2021 Jul 1.
Published in final edited form as: Neuroimage. 2020 Mar 19;214:116749. doi: 10.1016/j.neuroimage.2020.116749

Table 1.

Hierarchical Multiple Regression Results for Gamma Response Power on Cortical Thickness (CT) and Peak Gamma Frequency

Model b SE t β F R2 F R2 95% CI
Simple regression of gamma response power on cortical thickness
   Intercept −2.67 1.53 −1.74 7.56** .08 (−5.72, 0.38)
   CT 2.20 0.80 2.75** 0.29 (0.61, 3.80)
Simple regression of peak gamma frequency on cortical thickness
   Intercept 103.46 24.11 4.29**** 4.68* .05 (55.51, 151.41)
   CT −27.25 12.60 −2.16* −0.23 (−52.32, −2.19)
Simple regression of gamma response power on peak gamma frequency
   Intercept 2.52 0.37 6.80**** 8.09** .09 (1.79, 3.26)
   Frequency −0.02 0.01 −2.84** −0.30 (−0.03, −0.01)
Hierarchical regression of gamma response power on cortical thickness and peak gamma frequency
   Intercept −1.04 1.65 −0.63 6.67*** .14 (−4.32, 2.25)
   CT 1.77 0.80 2.21* 0.23 (0.18, 3.37)
   Frequency −0.02 0.01 −2.32* −0.24 5.39* .06 (−0.03, −0.002)

Note. N = 85. b = unstandardized regression coefficient. SE = standard error. β = standardized regression coefficient. ΔF = F change. ΔR2 = R2 change. CI = confidence interval.

*

p < .05.

**

p < .01.

***

p < .005.

****

p < .001.