M Dipnall Lillian, Ian Fuelscher, Y M Yang Joseph, Jian Chen, M Craig Jeffrey, Vicki Anderson, Daryl Efron, J Silk Timothy
{"title":"Brain Myelin in Children with ADHD: A Longitudinal T1w/T2w-ratio Study.","authors":"M Dipnall Lillian, Ian Fuelscher, Y M Yang Joseph, Jian Chen, M Craig Jeffrey, Vicki Anderson, Daryl Efron, J Silk Timothy","doi":"10.1016/j.bpsc.2025.07.012","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Research has demonstrated a broad network of dysfunction across the brain in Attention Deficit/Hyperactivity Disorder (ADHD), suggesting the potential role of white matter (WM) organization. This study sought to estimate the developmental trajectories of brain WM myelination in children with ADHD.</p><p><strong>Methods: </strong>Neuroimaging and clinical data were collected as part of a longitudinal community-based pediatric cohort (N<sub>scans</sub>=400; 195 with ADHD; age range, 9-14 years). Brain WM myelin was examined for 71 WM tracts across 3 time points using the T1w/T2w-ratio. Tracts were defined via a deep-learning based automated tractography method, performed on participant diffusion-weighted imaging. Linear and non-linear regression was conducted to examine group differences in T1w/T2w-ratio values. In addition to this, voxel-wise analysis was undertaken at each time point.</p><p><strong>Results: </strong>Brain-wide, children with ADHD were found to exhibit the same developmental profile as those without ADHD for WM myelin. No group effects were seen at a cross-sectional or longitudinal level. In agreement with previous work, modelling suggests non-linear developmental increases with age across most tract. This non-linear relationship was characterized by a positive parabolic, or U-shaped developmental trajectory.</p><p><strong>Conclusions: </strong>These findings indicate that there may not be distinct difference in the development of brain white matter myelination between children with and without ADHD. However, this suggests that previously reported differences in ADHD brain WM development may be attributable to properties other than myelin, such as fiber architecture and axon diameter. This further informs the understanding of brain development and highlights the need for further multi-modal longitudinal work.</p>","PeriodicalId":93900,"journal":{"name":"Biological psychiatry. Cognitive neuroscience and neuroimaging","volume":" ","pages":""},"PeriodicalIF":4.8000,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biological psychiatry. Cognitive neuroscience and neuroimaging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.bpsc.2025.07.012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Research has demonstrated a broad network of dysfunction across the brain in Attention Deficit/Hyperactivity Disorder (ADHD), suggesting the potential role of white matter (WM) organization. This study sought to estimate the developmental trajectories of brain WM myelination in children with ADHD.
Methods: Neuroimaging and clinical data were collected as part of a longitudinal community-based pediatric cohort (Nscans=400; 195 with ADHD; age range, 9-14 years). Brain WM myelin was examined for 71 WM tracts across 3 time points using the T1w/T2w-ratio. Tracts were defined via a deep-learning based automated tractography method, performed on participant diffusion-weighted imaging. Linear and non-linear regression was conducted to examine group differences in T1w/T2w-ratio values. In addition to this, voxel-wise analysis was undertaken at each time point.
Results: Brain-wide, children with ADHD were found to exhibit the same developmental profile as those without ADHD for WM myelin. No group effects were seen at a cross-sectional or longitudinal level. In agreement with previous work, modelling suggests non-linear developmental increases with age across most tract. This non-linear relationship was characterized by a positive parabolic, or U-shaped developmental trajectory.
Conclusions: These findings indicate that there may not be distinct difference in the development of brain white matter myelination between children with and without ADHD. However, this suggests that previously reported differences in ADHD brain WM development may be attributable to properties other than myelin, such as fiber architecture and axon diameter. This further informs the understanding of brain development and highlights the need for further multi-modal longitudinal work.