Table 2.
Genetic | Shared | Non-shared | % variance accounted for (base model- ACE or ADE) | % variance accounted for (best fitting model) | |||||||||||
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Best-fitting Model | Goodness of Fit χ2 (df)* | V | SE | V | SE | V | SE | a2 (95% CI) | d2 (95% CI) | c2 (95% CI) | e2 (95% CI) | a2 (95% CI) | c2 (95% CI) | e2 (95% CI) | |
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Target Accuracy | - | - | - | - | - | - | - | - | - | - | - | - | |||
Target Latency | AE | 0.49(2) | 108.4 | 136 | 106.6 | 99 | 29 (0–66) | - | 20 (0–56) | 51 (34–75) | 51 (29–67) | - | 49 (33–71) | ||
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COMPONENT | |||||||||||||||
Target ITC Sensory (Early) | |||||||||||||||
Delta/Theta | AE | 1.47(2) | .19 | .03 | 0 | .19 | .02 | 49 (0–67) | 1 (0–47) | 50 (33–80) | 50 (26–67) | 50 (33–74) | |||
Alpha | AE | 1.33(2) | .24 | .03 | 0 | .18 | .02 | 0 (0–75) | 66 (0–78) | - | 34 (22–53) | 64 (44–77) | - | 36 (23–56) | |
Low Beta | AE | 2.57(2) | .07 | .01 | 0 | .09 | .009 | 0 (0–54) | 41 (0–60) | - | 59 (40–84) | 37 (12–57) | - | 63 (43–88) | |
High Beta | E | 1.93(3) | 0 | 0 | .08 | .004 | 0 (0–37) | 17 (0–42) | - | 83 (58–100) | - | - | 100 | ||
Low Gamma | E | 4.18(3) | 0 | 0 | .05 | .003 | 0 (0–25) | 5 (0–32) | - | 95 (68–100) | - | - | 100 | ||
High Gamma | E | 1.07(3) | 0 | 0 | .07 | .004 | 0 (0–31) | 10 (0–36) | - | 90 (64–100) | - | - | 100 | ||
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Target ITC P300 (Late) | |||||||||||||||
Delta/Theta | AE | 0.03(2) | .17 | .02 | 0 | .18 | .02 | 40 (0–63) | - | 5 (0–49) | 55 (37–80) | 45 (22–63) | - | 55 (37–78) | |
Alpha | AE | 0.21(2) | .26 | .03 | 0 | .18 | .02 | 54 (0–79) | 14 (0–78) | - | 32 (21–50) | 68 (50–79) | - | 32 (21–50) | |
Low Beta | AE | 0.61(2) | .07 | .01 | 0 | .09 | .008 | 0 (0–55) | 39 (0–58) | - | 61 (42–87) | 36 (11–56) | - | 64 (44–89) | |
High Beta | E | 1.74(3) | 0 | 0 | .07 | .004 | 0 (0–30) | - | 8 (0–28) | 92 (70–100) | - | - | 100 | ||
Low Gamma | E | 2.19(3) | 0 | 0 | .04 | .002 | 0 (0–20) | - | 0 (0–20) | 100 (80–100) | - | - | 100 | ||
High Gamma | E | 0.88(3) | 0 | 0 | .06 | .003 | 0 (0–29) | - | 5 (0–25) | 95 (71–100) | - | - | 100 | ||
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Target STP Sensory (Early) | |||||||||||||||
Delta/Theta | CE | 1.01(2) | 0 | .71 | .13 | 1.09 | .08 | 3 (0–51) | - | 27 (0–47) | 70 (49–91) | - | 29 (9–47) | 71 (53–91) | |
Alpha | AE | 2.59(2) | 2.10 | .22 | - | 1.80 | .17 | 38 (0–71) | - | 19 (0–61) | 43 (29–63) | 58 (39–71) | - | 42 (29–61) | |
Low Beta | AE | 0.62(2) | .66 | .15 | 0 | 1.03 | .09 | 18 (0–50) | 12 (0–51) | - | 70 (49–95) | 29 (5–50) | - | 71 (50–95) | |
High Beta | - | - | - | - | - | - | - | - | - | - | - | - | |||
Low Gamma | - | - | - | - | - | - | - | - | - | - | - | - | |||
High Gamma | - | - | - | - | - | - | - | - | - | - | - | - | |||
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Target STP P300 (Late) | |||||||||||||||
Delta/Theta | AE | 1.26(2) | .96 | .27 | 0 | 1.86 | .16 | 0 (0–43) | 23 (0–45) | - | 77 (55–100) | 21 (0–43) | - | 79 (57–100) | |
Alpha | AE | 3.61(2) | 2.63 | .29 | 0 | 2.35 | .22 | 53 (0–69) | 2 (0–69) | - | 45 (31–65) | 55 (35–69) | - | 45 (31–65) | |
Low Beta | AE | 1.46(2) | 1.01 | .10 | 0 | .80 | .08 | 46 (0–74) | - | 15 (0–60) | 39 (26–59) | 61 (43–74) | - | 39 (26–57) | |
High Beta | CE | 1.69(2) | - | .56 | .09 | .80 | .06 | 0 (0–44) | - | 32 (0–50) | 68 (50–87) | - | 32 (13–50) | 68 (50–87) | |
Low Gamma | - | - | - | - | - | - | - | - | - | - | - | - | |||
High Gamma | - | - | - | - | - | - | - | - | - | - | - | - |
V indicates the raw variance component associated with each latent factor.
Chi square goodness of fit indices are all non-significant at the α<.05 level, indicating a lack of divergence of observed values from model parameters. Missing data indicates a poor model fit for all tested models (significant Chi square fit index). Standard errors are not calculable on variance parameters fixed at zero. Model parameter estimates are reported for the best fitting model, while heritability estimates (% variance accounted for) are reported for the base model and best fitting models. Nested DE models are not fit to the data (see Methods for explanation), so base models indicating genetic variance of either type (A or D) most often reduced to the AE model.