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Table 4 Comparison of models predicting network parameters by AP and AQ

From: Autistic traits, resting-state connectivity, and absolute pitch in professional musicians: shared and distinct neural features

   Predictors (β)    Comparison of models
γ EO beta Intercept MAD PIS AQ F (df) p value R 2 R 2 adjusted AIC
 Model 1 3.54e−1*** 2.07e−4** 4.06e−3* 6.011 (2,60) < 0.004** 0.167 0.139 − 145.45
 Model 2 4.383–1*** 1.58e−4* 5.232 (1,60) < 0.026* 0.078 0.064 − 141.13
 Model 3 4.25e−1*** − 2.62e−3** 4.44e−3** 6.889 (2, 59) < 0.002** 0.189 0.162 − 146.01
 Model 4 4.96e−1*** − 1.83e−3* 6.009 (1,60) < 0.017* 0.091 0.076 − 140.91
σ EC gamma Intercept MAD PIS AQ F value p value R 2 R 2 adjusted AIC
 Model 1 5.4e−1* 1.02e−3* 5.25e−3 3.378 (2,60) < 0.041* 0.101 0.071 74.09
 Model 2 6.49e−1*** 9.57e−4* 6.504 < 0.013* 0.096 0.081 72.43
 Model 3 8.08e−1*** − 1.11e−2* 9.30e−3 2.981 (2,59) < 0.058 0.092 0.061 73.53
 Model 4 9.56e−1*** − 9.41e−3* 5.06 (1,60) < 0.028* 0.078 0.062 72.48
λ EC delta Intercept MAD PIS AQ F value p value R 2 R 2 adjusted AIC
 Model 1 1.82*** − 8.34e−5 4.40e−04 2.433 (2,60) 0.096 0.075 0.044 − 205.34
 Model 2 1.83*** − 8.88e−5* 4.736 (1,61) < 0.033* 0.072 0.057 − 207.14
 Model 3 1.79*** 1.30e−3** − 1.29e−5 4.228 (2,59) < 0.019* 0.125 0.096 − 204.45
 Model 4 1.79*** 1.29e−3** 8.6 (1,60) < 0.005** 0.125 0.111 − 206.45
  1. Parameters, significance (F statistics), and comparison of different models. Models are compared using R2, R2adjusted, and AIC (Akaike information criterion). Smaller AIC and higher R2 indicate superior models. *p < 0.05, **p < 0.01, ***p < 0.01 (uncorrected)