Brain structure in children with ADHD elucidated using traveling-subject harmonization
Poster No:
356
Submission Type:
Late-Breaking Abstract Submission
Authors:
Qiulu Shou1,2, Masatoshi Yamashita1,2, Yoshiyuki Hirano2,3, Akemi Tomoda1,2,4, Kuriko Kagitani-Shimono2,5,6, Yoshifumi Mizuno1,2,4
Institutions:
1Research Centre for Child Mental Development, University of Fukui, Fukui, Japan, 2United Graduate School of Child Development, Osaka University, Osaka, Japan, 3Research Center for Child Mental Development, Chiba University, Chiba, Japan, 4Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital, Fukui, Japan, 5Molecular Research Centre for Children’s Mental Development, Osaka University Graduate School of Med, Osaka, Japan, 6Department of Pediatrics, Osaka University Graduate School of Medicine, Osaka, Japan
First Author:
Qiulu Shou
Research Centre for Child Mental Development, University of Fukui|United Graduate School of Child Development, Osaka University
Fukui, Japan|Osaka, Japan
Research Centre for Child Mental Development, University of Fukui|United Graduate School of Child Development, Osaka University
Fukui, Japan|Osaka, Japan
Co-Author(s):
Masatoshi Yamashita
Research Centre for Child Mental Development, University of Fukui|United Graduate School of Child Development, Osaka University
Fukui, Japan|Osaka, Japan
Research Centre for Child Mental Development, University of Fukui|United Graduate School of Child Development, Osaka University
Fukui, Japan|Osaka, Japan
Yoshiyuki Hirano
United Graduate School of Child Development, Osaka University|Research Center for Child Mental Development, Chiba University
Osaka, Japan|Chiba, Japan
United Graduate School of Child Development, Osaka University|Research Center for Child Mental Development, Chiba University
Osaka, Japan|Chiba, Japan
Akemi Tomoda
Research Centre for Child Mental Development, University of Fukui|United Graduate School of Child Development, Osaka University|Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital
Fukui, Japan|Osaka, Japan|Fukui, Japan
Research Centre for Child Mental Development, University of Fukui|United Graduate School of Child Development, Osaka University|Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital
Fukui, Japan|Osaka, Japan|Fukui, Japan
Kuriko Kagitani-Shimono
United Graduate School of Child Development, Osaka University|Molecular Research Centre for Children’s Mental Development, Osaka University Graduate School of Med|Department of Pediatrics, Osaka University Graduate School of Medicine
Osaka, Japan|Osaka, Japan|Osaka, Japan
United Graduate School of Child Development, Osaka University|Molecular Research Centre for Children’s Mental Development, Osaka University Graduate School of Med|Department of Pediatrics, Osaka University Graduate School of Medicine
Osaka, Japan|Osaka, Japan|Osaka, Japan
Yoshifumi Mizuno
Research Centre for Child Mental Development, University of Fukui|United Graduate School of Child Development, Osaka University|Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital
Fukui, Japan|Osaka, Japan|Fukui, Japan
Research Centre for Child Mental Development, University of Fukui|United Graduate School of Child Development, Osaka University|Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital
Fukui, Japan|Osaka, Japan|Fukui, Japan
Introduction:
Brain imaging studies for attention-deficit/hyperactivity disorder (ADHD) have not always yielded consistent findings, potentially owing to measurement bias in magnetic resonance imaging (MRI) scanners. This study aimed to elucidate the structural brain characteristics in children with ADHD by addressing measurement bias in multi-site MRI data using the harmonization method, traveling-subject (TS) method (Yamashita et al., 2019).
Methods:
The MRI data of 14 traveling subjects, 178 typical development (TD) (age =12.71 ± 2.80, female = 59), and 116 ADHD children (age =10.27 ± 2.23, female = 8) were collected from four different machines (two at the University of Fukui, one at Osaka University, and one at Chiba University) (Yamashita et al., 2023). The TS method and ComBat were used to correct for measurement bias, and we compared the measurement bias and sampling bias among these methods. Gray matter volumes were estimated using FreeSurfer, and the ADHD and TD groups were compared using mixed-effect models.
Results:
Compared to raw data, the TS method significantly reduced measurement bias (FWE[Family-Wise Error] p =0.034) while maintaining sampling bias (FWE p = 0.213). In contrast, ComBat effectively reduces measurement bias (FEW p < 0.001) but also significantly decreases sampling bias(FEW p < 0.001) (Figure 1). Compared to raw data and ComBat-corrected data, TS-corrected data showed decreased brain volumes in extensive frontotemporal regions in the ADHD group compared to the TD group, including bilateral middle temporal gyrus (left: β = -0.179, 95% CI = -0.292 to -0.065, FDR [family discovery rate] p = 0.031; right: β = -0.277, 95% CI = -0.391 to -0.162, FDR p < 0.001), bilateral orbitofrontal cortex (lateral region) (right: β = -0.219, 95% CI = -0.325 to -0.113, FDR p = 0.002; left: β = -0.246, 95% CI = -0.353 to -0.139, FDR p < 0.001), right inferior frontal gyrus (orbital part) (β = -0.209, 95% CI = -0.353 to -0.139, FDR p = 0.027), right middle frontal gyrus (rostral part) (β = -0.195, 95% CI = -0.319 to -0.072, FDR p = 0.031), left inferior temporal gyrus (β = -0.169, 95% CI = -0.282 to -0.057, FDR p = 0.037), left precuneus cortex (β = -0.155, 95% CI = -0.261 to -0.049, FDR p = 0.037), and bilateral insular cortex (left: β = -0.188, 95% CI = -0.303 to -0.057, FDR p = 0.037; right: β = -0.180, 95% CI = -0.316 to -0.060, FDR p = 0.037) (Figure 2).
·Figure 1 Comparison of the measurement bias (A), sampling bias in the TD group (B), and sampling bias in the ADHD group (C) calculated using TS-corrected, ComBat-corrected, and raw data.
·Figure 2 The brain regions (blue areas) with significant differences between the ADHD and TD groups using multiple methods of correction in the mixed-effects model.
Conclusions:
The TS method effectively reduces measurement bias across MRI scanners, ensuring reliable findings in multi-site studies. The observed frontotemporal volume reductions in ADHD, especially in the right middle temporal gyrus, highlight the reliability of findings obtained with TS correction.
Disorders of the Nervous System:
Neurodevelopmental/ Early Life (eg. ADHD, autism) 1
Lifespan Development:
Early life, Adolescence, Aging 2
Modeling and Analysis Methods:
Other Methods
Keywords:
Attention Deficit Disorder
STRUCTURAL MRI
Other - multi-site study, traveling-subject harmonization
1|2Indicates the priority used for review
Abstract Information
By submitting your proposal, you grant permission for the Organization for Human Brain Mapping (OHBM) to distribute your work in any format, including video, audio print and electronic text through OHBM OnDemand, social media channels, the OHBM website, or other electronic publications and media.
The Open Science Special Interest Group (OSSIG) is introducing a reproducibility challenge for OHBM 2025. This new initiative aims to enhance the reproducibility of scientific results and foster collaborations between labs. Teams will consist of a “source” party and a “reproducing” party, and will be evaluated on the success of their replication, the openness of the source work, and additional deliverables. Click here for more information. Propose your OHBM abstract(s) as source work for future OHBM meetings by selecting one of the following options:
Please indicate below if your study was a "resting state" or "task-activation” study.
Healthy subjects only or patients (note that patient studies may also involve healthy subjects):
Was this research conducted in the United States?
Were any human subjects research approved by the relevant Institutional Review Board or ethics panel? NOTE: Any human subjects studies without IRB approval will be automatically rejected.
Were any animal research approved by the relevant IACUC or other animal research panel? NOTE: Any animal studies without IACUC approval will be automatically rejected.
Please indicate which methods were used in your research:
For human MRI, what field strength scanner do you use?
Which processing packages did you use for your study?
Provide references using APA citation style.
Yamashita, M., Kagitani-Shimono, K., Hirano, Y., Hamatani, S., Nishitani, S., Yao, A., ... & Mizuno, Y . (2023). Child Developmental MRI (CDM) project: protocol for a multi-centre, cross-sectional study on elucidating the pathophysiology of attention-deficit/hyperactivity disorder and autism spectrum disorder through a multi-dimensional approach. BMJ open, 13(6), e070157.