Developmental trajectory deviation for hierarchical function system in attention-deficit/hyperactivity disorder.

IF 2.9 2区 医学 Q2 NEUROSCIENCES
Qin Tang, Qingquan Cao, Lin Liu, Pan Wang, Huafu Chen, Bharat B Biswal
{"title":"Developmental trajectory deviation for hierarchical function system in attention-deficit/hyperactivity disorder.","authors":"Qin Tang, Qingquan Cao, Lin Liu, Pan Wang, Huafu Chen, Bharat B Biswal","doi":"10.1093/cercor/bhaf119","DOIUrl":null,"url":null,"abstract":"<p><p>Attention-deficit/hyperactivity disorder is a typically neurodevelopmental disorder with intra-/inter-network dysconnectivity, indicating that characterizing its age-dependent hierarchical function system changes is crucial to understanding the disease's course. Combining hierarchical spatial gradient and partial least squares regression analysis methods, we investigated the cortical abnormalities of functional gradient in individuals with attention-deficit/hyperactivity disorder and its relationships with genic transcriptomic information. Additionally, we described the hierarchical function system development during childhood using developmental curve fitting analysis. We observed increased functional gradients in the regions within visual and dorsal attention networks, and decreased gradients distributing in the regions with limbic and default mode networks. Compared with the typical developmental age-gradient track curve, individuals with attention-deficit/hyperactivity disorder exhibited earlier turning points and smaller curve's variation ranges. Gene expression analysis showed a significantly overlapped enrichment pathways associated with nervous system development between the genes we identified and those previously reported. Above-abnormal functional gradients and network-level averaged gradient values exhibited significant correlations with clinical inattention scores in attention-deficit/hyperactivity disorder. Overall, our findings characterized changes in hierarchical functional systems and their age-dependent relationships from both macro-neuroimaging and micro-genetic dimensions, advancing understanding of the underlying neural mechanisms behind neurodevelopmental disorders.</p>","PeriodicalId":9715,"journal":{"name":"Cerebral cortex","volume":"35 6","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cerebral cortex","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/cercor/bhaf119","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Attention-deficit/hyperactivity disorder is a typically neurodevelopmental disorder with intra-/inter-network dysconnectivity, indicating that characterizing its age-dependent hierarchical function system changes is crucial to understanding the disease's course. Combining hierarchical spatial gradient and partial least squares regression analysis methods, we investigated the cortical abnormalities of functional gradient in individuals with attention-deficit/hyperactivity disorder and its relationships with genic transcriptomic information. Additionally, we described the hierarchical function system development during childhood using developmental curve fitting analysis. We observed increased functional gradients in the regions within visual and dorsal attention networks, and decreased gradients distributing in the regions with limbic and default mode networks. Compared with the typical developmental age-gradient track curve, individuals with attention-deficit/hyperactivity disorder exhibited earlier turning points and smaller curve's variation ranges. Gene expression analysis showed a significantly overlapped enrichment pathways associated with nervous system development between the genes we identified and those previously reported. Above-abnormal functional gradients and network-level averaged gradient values exhibited significant correlations with clinical inattention scores in attention-deficit/hyperactivity disorder. Overall, our findings characterized changes in hierarchical functional systems and their age-dependent relationships from both macro-neuroimaging and micro-genetic dimensions, advancing understanding of the underlying neural mechanisms behind neurodevelopmental disorders.

注意缺陷/多动障碍中等级功能系统的发展轨迹偏差。
注意缺陷/多动障碍是一种典型的神经发育障碍,具有网络内/网络间的连通性障碍,表明表征其年龄依赖性分层功能系统的变化对于理解疾病的病程至关重要。结合层次空间梯度和偏最小二乘回归分析方法,研究了注意缺陷/多动障碍患者皮层功能梯度异常及其与基因转录组信息的关系。此外,我们使用发展曲线拟合分析描述了儿童时期的层次功能系统发展。我们观察到视觉和背侧注意网络区域的功能梯度增加,而边缘和默认模式网络区域的梯度分布减少。与典型的发育年龄梯度轨迹曲线相比,注意缺陷/多动障碍个体的拐点更早,曲线变化范围更小。基因表达分析显示,我们发现的基因与先前报道的基因之间存在与神经系统发育相关的显著重叠富集途径。异常以上的功能梯度和网络水平平均梯度值与注意缺陷/多动障碍的临床注意力不集中得分有显著相关性。总的来说,我们的研究结果从宏观神经影像学和微观遗传两方面描述了分层功能系统的变化及其年龄依赖关系,促进了对神经发育障碍背后潜在神经机制的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Cerebral cortex
Cerebral cortex 医学-神经科学
CiteScore
6.30
自引率
8.10%
发文量
510
审稿时长
2 months
期刊介绍: Cerebral Cortex publishes papers on the development, organization, plasticity, and function of the cerebral cortex, including the hippocampus. Studies with clear relevance to the cerebral cortex, such as the thalamocortical relationship or cortico-subcortical interactions, are also included. The journal is multidisciplinary and covers the large variety of modern neurobiological and neuropsychological techniques, including anatomy, biochemistry, molecular neurobiology, electrophysiology, behavior, artificial intelligence, and theoretical modeling. In addition to research articles, special features such as brief reviews, book reviews, and commentaries are included.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信