Table 3 A, B.

Subject A and B results of linear mixed model analysis.

	Dependent variable:
	FA	ADC	FD	FA Peritumoral	ADC Peritumoral	FD Peritumoral
Pathologic hemispheres	0.021	0.00000	0.077	0.055	0.00004	-0.058
	(0.008, 0.034)	(-0.00002, 0.00002)	(0.038, 0.117)	(0.031, 0.080)	(0.00002, 0.0001)	(−0.138, 0.023)
	p = 0.012	p = 1	p = 0.0012	p = 0.00006	p = 0.00012	p = 0.972
Constant	0.517	0.001	0.645	0.371	0.001	0.705
	(0.488, 0.546)	(0.001, 0.001)	(0.611, 0.678)	(0.331, 0.411)	(0.001, 0.001)	(0.640, 0.771)
	p < 1.2e-15	p < 1.2e-15	p < 1.2e-15	p < 1.2e-15	p < 1.2e-15	p < 1.2e-15
Observations	200	200	200	40	40	40
Log Likelihood	172.557	1,488.435	69.184	44.545	339.211	15.904
Akaike Inf. Crit.	−337.115	−2,968.871	−130.368	−81.090	−670.423	−23.807
Bayesian Inf. Crit.	−323.921	−2,955.678	−117.175	−74.334	−663.667	−17.052
	Dependent variable:
	FA	ADC	FD	FA Peritumoral	ADC Peritumoral	FD Peritumoral
Pathologic hemispheres	−0.006	0.00001	−0.033	0.013	0.00000	−0.012
	(−0.022, 0.011)	(−0.00000, 0.00003)	(−0.057, −0.010)	(−0.020, 0.045)	(−0.00002, 0.00003)	(−0.037, 0.012)
	p = 1	p = 0.606	p = 0.036	p = 1	p = 1	p = 1
Constant	0.562	0.001	0.705	0.459	0.001	0.543
	(0.539, 0.585)	(0.001, 0.001)	(0.665, 0.744)	(0.432, 0.486)	(0.001, 0.001)	(0.510, 0.577)
	p < 1.2e-15	p < 1.2e-15	p < 1.2e-15	p < 1.2e-15	p < 1.2e-15	p < 1.2e-15
Observations	200	200	200	90	90	90
Log Likelihood	176.595	1,624.744	87.184	83.431	723.449	78.396
Akaike Inf. Crit.	−345.190	−3,241.488	−166.367	−158.862	−1,438.898	−148.793
Bayesian Inf. Crit.	−331.997	−3,228.295	−153.174	−148.863	−1,428.898	−138.793

Models 1–3 show results for the entire CST for FA, ADC, and FD, models 4–6 for the peritumoral segments respectively. The table shows regression coefficients for the fixed effect of hemisphere and the intercept with their respective standard error in brackets. Further, number of observations for each model, the log likelihood ratio, Akaike information criterion, and Bayesian information criterion are stated.