Volume 15, Issue 12 pp. 2238-2249
RESEARCH ARTICLE

Association between body mass index and subcortical volume in pre-adolescent children with autism spectrum disorder: An exploratory study

In-seong Hwang

In-seong Hwang

Seoul National University College of Medicine, Seoul, Republic of Korea

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Soon-Beom Hong

Corresponding Author

Soon-Beom Hong

Seoul National University College of Medicine, Seoul, Republic of Korea

Institute of Human Behavioral Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea

Correspondence

Soon-Beom Hong, Division of Child and Adolescent Psychiatry, Department of Psychiatry, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea.

Email: [email protected]

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First published: 18 October 2022

Abstract

Conflicting associations exist between autism spectrum disorder (ASD) and subcortical brain volumes. This study assessed whether obesity might have a confounding influence on associations between ASD and brain subcortical volumes. A comprehensive investigation evaluating the relationship between ASD, obesity, and subcortical structure volumes was conducted. Data obtained included body mass index (BMI) and T1-weighted structural magnetic resonance images for children with and without ASD diagnoses from the Autism Brain Imaging Data Exchange database. Brain subcortical volumes were calculated using vol2Brain software. Hierarchical linear regression analyses were performed to explore the subcortical volumes similarly or differentially associated with BMI in children with or without ASD and examine association and interaction effects regarding ASD and subcortical volume impact on the Social Responsiveness Scale and Vineland Adaptive Behavior Scale (VABS) scores. Bilateral caudate nuclei were smaller in children with ASD than in control participants. Significant interactions were observed between ASD diagnosis and BMI regarding the left caudate, right and left putamen, and right and left ventral diencephalon (DC) volumes (β = −0.384, p = 0.010; β = −0.336, p = 0.030; β = −0.317, p = 0.040; β = 0.322, p = 0.010; β = 0.295, p = 0.021, respectively) and between ASD diagnosis and right and left ventral DC volumes regarding the VABS scores (β = 0.434, p = 0.014; β = 0.495, p = 0.007, respectively). However, each subcortical structure volume included in the ventral DC area could not be measured separately. The results identified subcortical volumes differentially associated with obesity in children with ASD compared with typically developing peers. BMI may need to be considered an important confounder in future research examining brain subcortical volumes within ASD.

CONFLICT OF INTEREST

The authors declare no conflict of interest.

DATA AVAILABILITY STATEMENT

The data used in this study has already (previously) been made public. The study data are available through the Autism Brain Imaging Data Exchange (at http://fcon_1000.projects.nitrc.org/indi/abide) and the Preprocessed Connectomes Project (at http://preprocessed-connectomes-project.org).

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