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On the Spectrum

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White matter microstructure in children with autistic traits<br />

remained after adjustment for a set of standard confounders, we additionally performed a<br />

sensitivity analysis adjusting for IQ and attention problems.<br />

Additionally, we evaluated whe<strong>the</strong>r any associations with white matter microstructure<br />

remained after excluding children with a confirmed diagnosis of ASD. Lastly, any differences<br />

identified using <strong>the</strong> trait approach were also evaluated in <strong>the</strong> 19 children in our sample with<br />

clinically confirmed ASD, compared to a group of age, sex and IQ-matched controls. For this<br />

analysis, group status (ASD/control) was used as a predictor in linear regression models.<br />

RESULTS<br />

Sample characteristics<br />

Sample characteristics are presented in Table 1.<br />

Table 1. Participant characteristics (n=604)<br />

Child characteristics<br />

n<br />

Gender (% boy) 604 53.0<br />

Ethnicity 604<br />

Dutch 65.2<br />

O<strong>the</strong>r Western 9.3<br />

Non-Western 25.5<br />

Social Responsiveness Scale<br />

Weighted total score 604 0.27 (0.29)<br />

Age at Social Responsiveness Scale (years) 604 6.17 (0.44)<br />

Age at MRI (years) 604 8.02 (1.03)<br />

Non-verbal IQ 554 103.4 (14.1)<br />

Maternal characteristics<br />

Education level (%) 591<br />

High 57.3<br />

Medium 29.5<br />

Low 11.1<br />

Alcohol in pregnancy (%) 563<br />

Never 32.7<br />

Until pregnancy was known 14.9<br />

Continued occasionally 40.7<br />

Continued frequently 11.7<br />

4<br />

Smoking in pregnancy (%) 583<br />

Never 77.4<br />

Until pregnancy was known 6.3<br />

Continued 16.3<br />

Note. Values are mean and SD unless o<strong>the</strong>rwise indicated.<br />

85

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