A Study of Neuroimaging and Genetic Non-linear Associations For Brain Development.

Proceedings. IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 2026-03-01 Epub Date: 2026-08-28 DOI:10.1109/ssiai68148.2026.11667305

Bhaskar Ray, Dawn Jensen, Ram Sapkota, Jiayu Chen, Vince D Calhoun, Jingyu Liu

{"title":"A Study of Neuroimaging and Genetic Non-linear Associations For Brain Development.","authors":"Bhaskar Ray, Dawn Jensen, Ram Sapkota, Jiayu Chen, Vince D Calhoun, Jingyu Liu","doi":"10.1109/ssiai68148.2026.11667305","DOIUrl":null,"url":null,"abstract":"<p><p>During the transition from childhood to adulthood, the human brain undergoes significant developmental changes that facilitate cognitive maturation, driven by a complex interplay of environmental and genetic factors. Despite abundant studies on neuroimaging for brain development, the specific genetic influences remain unclear. Using brain age estimation, we categorized individuals (N = 7,435, aged 9-10 years) from the Adolescent Brain and Cognitive Development (ABCD) cohort into groups exhibiting either accelerated or delayed brain maturation. This study examines brain imaging and genetic associations within this subpopulation to identify the genetic influences on brain development. We have compared linear association using Sparse Canonical Correlation Analysis (sCCA)-base model and non-linear association with Supervised Contrastive Joint Latent Representation Network (SC-JLRN). Developmentally relevant nonlinear latent patterns between genetic variants highly expressed in the cerebellum and brain regions significantly associated with brain age (cerebellar-hippocamp-frontal circuitry) were extracted.</p>","PeriodicalId":89229,"journal":{"name":"Proceedings. IEEE Southwest Symposium on Image Analysis and Interpretation","volume":"2026 ","pages":"113-116"},"PeriodicalIF":0.0000,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13543915/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. IEEE Southwest Symposium on Image Analysis and Interpretation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ssiai68148.2026.11667305","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/8/28 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

Abstract

During the transition from childhood to adulthood, the human brain undergoes significant developmental changes that facilitate cognitive maturation, driven by a complex interplay of environmental and genetic factors. Despite abundant studies on neuroimaging for brain development, the specific genetic influences remain unclear. Using brain age estimation, we categorized individuals (N = 7,435, aged 9-10 years) from the Adolescent Brain and Cognitive Development (ABCD) cohort into groups exhibiting either accelerated or delayed brain maturation. This study examines brain imaging and genetic associations within this subpopulation to identify the genetic influences on brain development. We have compared linear association using Sparse Canonical Correlation Analysis (sCCA)-base model and non-linear association with Supervised Contrastive Joint Latent Representation Network (SC-JLRN). Developmentally relevant nonlinear latent patterns between genetic variants highly expressed in the cerebellum and brain regions significantly associated with brain age (cerebellar-hippocamp-frontal circuitry) were extracted.

查看原文本刊更多论文

脑发育的神经影像学和遗传非线性关联研究。

在从童年到成年的过渡过程中，在环境和遗传因素的复杂相互作用下，人类大脑经历了促进认知成熟的重大发育变化。尽管有大量关于大脑发育的神经影像学研究，但具体的遗传影响仍不清楚。使用脑年龄估计，我们将青少年大脑和认知发展（ABCD）队列中的个体（N = 7,435，年龄9-10岁）分为大脑成熟加速或延迟的两组。本研究检查了这一亚群的脑成像和遗传关联，以确定遗传对大脑发育的影响。我们比较了基于稀疏典型相关分析（sCCA）模型的线性关联和基于监督对比联合潜在表示网络（SC-JLRN）的非线性关联。在小脑和与脑年龄显著相关的大脑区域（小脑-海马-额叶回路）高度表达的遗传变异之间，提取了与发育相关的非线性潜在模式。

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

Proceedings. IEEE Southwest Symposium on Image Analysis and Interpretation

自引率

0.00%

发文量