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. 2022 Jul 5;13:31. doi: 10.1186/s13229-022-00504-7

Table 2.

Association between global morphological brain measures and autistic traitsa

Brain measures Model 1 Model 2
ß SD t-statistic p value ß SD t-statistic p value
Total brain volume − 0.06 0.88 − 3.16 0.002* − 0.03 0.88 − 1.69 0.089
Cortical gray matter volume − 0.06 0.88 − 3.17 0.001* − 0.03 0.88 − 1.46 0.144
Subcortical gray matter volume − 0.06 0.88 − 2.79 0.005* − 0.04 0.88 − 1.77 0.075
Cerebral white matter volume − 0.04 0.88 − 2.09 0.036 − 0.02 0.88 − 1.12 0.256
CSF volume − 0.01 0.88 − 0.61 0.540 0.01 0.88 0.54 0.592
Cerebellum cortex volume − 0.08 0.88 − 4.15 3.39·10–5* − 0.06 0.88 − 2.84 0.004*
Cerebellum white matter volume − 0.06 0.88 − 2.92 0.003* − 0.05 0.88 − 2.34 0.019
Mean amygdala volume (L + R) − 0.05 0.88 − 2.39 0.017 − 0.02 0.88 − 0.96 0.339
Mean gyrification − 0.09 0.88 − 4.24 2.25·10–5* − 0.06 0.88 − 2.81 0.005*
Mean surface area − 0.09 0.88 − 4.73 2.44·10–6* − 0.06 0.88 − 3.12 0.002*
Mean cortical thickness 0.03 0.88 1.47 0.142 0.05 0.88 2.38 0.018

aModel 1 is adjusted for sex, age at SRS and the difference in age between SRS and MRI; Model 2 is additionally adjusted for child ethnicity, maternal education, maternal smoking and drinking during pregnancy. The effects are standardized

*Significant after Bonferroni correction (p < 0.005)