Structural and diffusion‐weighted brain imaging predictors of attention‐deficit/hyperactivity disorder and its symptomology in very young (4‐ to 7‐year‐old) children

Ilke ?ztekin; Dea Garic; Mohammadreza BayatMelissa L. HernandezMark A. FinlaysonPaulo A. GrazianoAnthony Steven Dick

首页> 外文期刊>The European journal of neuroscience. >Structural and diffusion‐weighted brain imaging predictors of attention‐deficit/hyperactivity disorder and its symptomology in very young (4‐ to 7‐year‐old) children

【24h】

Structural and diffusion‐weighted brain imaging predictors of attention‐deficit/hyperactivity disorder and its symptomology in very young (4‐ to 7‐year‐old) children

机译：Structural and diffusion‐weighted brain imaging predictors of attention‐deficit/hyperactivity disorder and its symptomology in very young (4‐ to 7‐year‐old) children

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相关主题

摘要

Abstract The current study aimed to identify the key neurobiology of attention‐deficit/hyperactivity disorder (ADHD), as it relates to ADHD diagnostic category and symptoms of hyperactive/impulsive behaviour and inattention. To do so, we adapted a predictive modelling approach to identify the key structural and diffusion‐weighted brain imaging measures and their relative standing with respect to teacher ratings of executive function (EF) (measured by the Metacognition Index of the Behavior Rating Inventory of Executive Function [BRIEF]) and negativity and emotion regulation (ER) (measured by the Emotion Regulation Checklist [ERC]), in a critical young age range (ages 4 to 7, mean age 5.52?years, 82.2% Hispanic/Latino), where initial contact with educators and clinicians typically take place. Teacher ratings of EF and ER were predictive of both ADHD diagnostic category and symptoms of hyperactive/impulsive behaviour and inattention. Among the neural measures evaluated, the current study identified the critical importance of the largely understudied diffusion‐weighted imaging measures for the underlying neurobiology of ADHD and its associated symptomology. Specifically, our analyses implicated the inferior frontal gyrus as a critical predictor of ADHD diagnostic category and its associated symptomology, above and beyond teacher ratings of EF and ER. Collectively, the current set of findings have implications for theories of ADHD, the relative utility of neurobiological measures with respect to teacher ratings of EF and ER, and the developmental trajectory of its underlying neurobiology.

著录项

来源
《The European journal of neuroscience.》 |2022年第12期|6239-6257|共19页
作者
Ilke ?ztekin; Dea Garic; Mohammadreza BayatMelissa L. HernandezMark A. FinlaysonPaulo A. GrazianoAnthony Steven Dick;
展开▼
作者单位

Center for Children and Families and Department of Psychology,Florida International University;

Carolina Institute for Developmental Disabilities,The University of North Carolina at Chapel Hill;

School of Computing and Information Sciences,Florida International University;

展开▼
收录信息
原文格式 PDF
正文语种英语
中图分类神经病学与精神病学;
关键词
ADHD; diffusion‐weighted imaging; machine learning; neurite density; structural brain imaging;

Structural and diffusion‐weighted brain imaging predictors of attention‐deficit/hyperactivity disorder and its symptomology in very young (4‐ to 7‐year‐old) children

摘要

著录项

相关主题

期刊订阅