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. Author manuscript; available in PMC: 2020 Jul 15.
Published in final edited form as: Neuroimage. 2019 Apr 4;195:320–332. doi: 10.1016/j.neuroimage.2019.03.073

Table 4.

Linear Mixed Model Results using FA in DMN and FPCN naWM

Predictor Model 1
AIC = 164.65		 Model 2
AIC = 137.49
Time F1,78.0 = 12.40 (p = .001)
β = −2.93 [−4.58,−1.27] 		F1.77.9 = 5.50 (p = .022)
β = −41.1 [−76.0,−6.20]
FA in DMN-naWM F1,46.8 = 3.09 (p = .085)
β = 17.24 [−2.49,36.97]		 F1,45.3 = 3.18 (p = .081)
β = −149.2 [−317.7,19.27]
FA in FPCN-naWM F1,47.3 = 1.28 (p = .263)
β = −10.5 [−29.2,8.16]		 F1,45.4 = 4.55 (p = .038)
β = −168.5 [−327.7,−9.37]
FA in DMN-naWM x Time F1,79.6 = 0.175 (p = .677)
β = −1.56 [−9.01,5.88]		 F1,77.6 = 4.52 (p = .037)
β = 68.2 [4.31,132.2]
FA in FPCN-naWM x Time F1,80.1 = 3.072 (p = .083)
β = 6.49 [−0.88, 13.86]		 F1,78.2 = 5.60 (p = .020)
β = 74.27 [11.78, 136.8]
FA in DMN-naWM x FA in
FPCN-naWM		 N/A F1,45.4 = 4.03 (p = .051)
β = 292.0 [−0.97,585.0]
FA in DMN-naWM x FA in
FPCN-naWM x Time		 N/A F1,77.9 = 4.76 (p = .032)
β = −123.6 [−236.4,−10.83]

Results of separate linear mixed-models are shown in each column above. The model-fit is described by AIC, where lower values indicate a better fit. For each fixed-effect the fit statistic and un-standardized β co-efficient estimates are provided with the p-value and [95% CI], respectively. Both models included an intercept term.