Table 3.

Results of multiple regression with robust estimation of standard errors for connectivity disruption predictors of each deficit measure

	Complexity	Lexical syntax	Phonology	Semantics
Tracts
Volume	−0.0063 (−0.0095, −0.0032)**	−0.0066 (−0.011, −0.002)**	0.00021 (−0.0032, 0.0036)	−0.0048 (−0.0085, −0.0011)*
Arcuate fasciculus	0.008 (−0.0021, 0.018)	−0.0068 (−0.014, 0.00049).	0.0097 (−0.0027, 0.022)	0.00068 (−0.0069, 0.0083)
Frontal aslant tract	−0.0017 (−0.0091, 0.0056)	−0.0014 (−0.0078, 0.005)	0.0012 (−0.0069, 0.0093)	−0.0054 (−0.014, 0.0036)
Superior longitudinal	−0.0081 (−0.019, 0.003)	0.00041 (−0.0099, 0.011)	−0.0095 (−0.022, 0.0033)	0.01 (−0.0015, 0.022).
Uncinate fasciculus	0.0044 (−0.0056, 0.014)	0.0025 (−0.0093, 0.014)	−0.005 (−0.017, 0.0068)	0.0053 (−0.0064, 0.017)
Inferior fronto-occipital	0.000039 (−0.008, 0.0081)	0.0047 (−0.0031, 0.012)	−0.0029 (−0.013, 0.0072)	−0.0057 (−0.015, 0.0038)
Whole-brain network
Volume	−0.0072 (−0.011, −0.0037)**	−0.0089 (−0.014, −0.0034)**	0.00011 (−0.0042, 0.0044)	−0.0062 (−0.01, −0.002)**
Global efficiency	−13 (−200, 170)	−150 (−380, 81)	130 (−82, 350)	−61 (−270, 150)
Ave clustering coefficient	150 (−390, 700)	340 (−300, 980)	−340 (−940, 260)	490 (−46, 1000).
Characteristic path length	0.00070 (−0.0013, 0.0027)	−0.0012 (−0.0035, 0.0012)	0.00022 (−0.0022, 0.0027)	0.0029 (0.00051, 0.0054)*
Language network
Volume	−0.0072 (−0.0097, −0.0046)**	−0.0078 (−0.011, −0.0045)**	−0.00011 (−0.0026, 0.0024)	−0.0025 (−0.0059, 0.00096)
Global efficiency	1.4 (0.084, 2.8)*	2.8 (1.6, 4)**	−2.1 (−3.2, −0.91)**	−2 (−3.3, −0.65)**
Ave clustering coefficient	−2.1 (−13, 8.8)	8.8 (−0.5, 18) .	−8.1 (−16, −0.54)*	9 (1.2, 17)*
Characteristic path length	−0.00011 (−0.0015, 0.0013)	0.00028 (−0.00084, 0.0014)	−0.0012 (−0.0023, −9.8e-05)*	−0.00019 (−0.0011, 0.00077)

Note: Values show the regression coefficient estimate (95% confidence interval in brackets).

** P < 0.01, * P < 0.05, P < 0.1.