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. 2019 Jan 2;121(4):1244–1265. doi: 10.1152/jn.00619.2018

Table 4.

Within-network correlations per hemisphere and between hemispheres

Experiment Hemisphere Language ToM MD
1a. Rest LH 0.51 0.52 0.32
(0.18) (0.18) (0.17)
RH 0.37 0.56 0.36
(0.17) (0.18) (0.17)
LH-RH 0.27 0.46 0.22
(0.17) (0.18) (0.17)
1b. Stories LH 0.69 0.56 0.39
(0.17) (0.17) (0.16)
RH 0.47 0.59 0.42
(0.16) (0.17) (0.16)
LH-RH 0.44 0.52 0.32
(0.16) (0.17) (0.16)
2. Stories LH 0.68 0.48
(0.18) (0.16)
RH 0.44 0.59
(0.16) (0.17)
LH-RH 0.37 0.46
(0.16) (0.16)
3a. Stories LH 0.59 0.53 0.34
(0.17) (0.17) (0.16)
RH 0.36 0.60 0.38
(0.17) (0.18) (0.16)
LH-RH 0.35 0.51 0.28
(0.16) (0.17) (0.16)
3b. Stories (nonverbal ToM  localizer) LH 0.59 0.43 0.34
(0.17) (0.17) (0.16)
RH 0.36 0.47 0.38
(0.17) (0.17) (0.16)
LH-RH 0.35 0.44 0.27
(0.16) (0.17) (0.16)

Numbers in parentheses are standard deviations. Correlations are highly significant (P < 10−6) within the three networks, at rest and during story comprehension. The language and multiple demand (MD) correlations replicate Blank et al. (2014). The within theory of mind (ToM) correlation is robust too, with the verbal and nonverbal ToM localizer.