Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, Missouri.
Department of Psychiatry, Washington University in St. Louis, St. Louis, Missouri.
Biol Psychiatry Cogn Neurosci Neuroimaging. 2018 Nov;3(11):927-936. doi: 10.1016/j.bpsc.2018.06.011. Epub 2018 Jul 21.
Measures of executive function (EF), such as the Behavior Rating Inventory of Executive Function, distinguish children with attention-deficit/hyperactivity disorder (ADHD) from control subjects, but less work has examined relationships to depression or brain network organization. This study examined whether early childhood EF predicted new onset or worsening of ADHD and/or depression and examined how early childhood EF related to functional connectivity of brain networks at school age.
Participants included 247 children who were enrolled at 3 to 6 years of age from a prospective study of emotion development. The Behavior Rating Inventory of Executive Function Global Executive Composite score was used as the measure of EF in early childhood to predict ADHD and depression diagnoses and symptoms across school age. Resting-state functional magnetic resonance imaging network analyses examined global efficiency in the frontoparietal, cingulo-opercular, salience, and default mode networks and six "hub" seed regions selected to examine between-network connectivity.
Early childhood EF predicted new onset and worsening of ADHD and depression symptoms across school age. Greater EF deficits in preschool predicted increased global efficiency in the salience network and altered connectivity with four regions for the dorsal anterior cingulate cortex hub and one region with the insula hub at school age. This altered connectivity was related to increasing ADHD and depression symptoms.
Early executive deficits may be an early common liability for risk of developing ADHD and/or depression and were associated with altered functional connectivity in networks and hub regions relevant to executive processes. Future work could help clarify whether specific EF deficits are implicated in the development of both disorders.
执行功能(EF)的衡量标准,如行为评定量表的执行功能,可将注意力缺陷/多动障碍(ADHD)儿童与对照受试者区分开来,但很少有研究探讨其与抑郁或大脑网络组织的关系。本研究旨在检验幼儿时期的 EF 是否可以预测 ADHD 和/或抑郁的新发病例或恶化,并探讨幼儿时期的 EF 与学龄期大脑网络功能连接的关系。
参与者包括 247 名儿童,他们在一项前瞻性情绪发展研究中于 3 至 6 岁时入组。采用行为评定量表的执行功能总体执行综合评分作为幼儿时期 EF 的衡量标准,以预测 ADHD 和抑郁的诊断和症状在整个学龄期的变化。静息态功能磁共振成像网络分析检查了额顶叶、扣带回-脑岛、突显和默认模式网络的全局效率,以及选择的六个“枢纽”种子区域以检查网络间的连接。
幼儿时期的 EF 可预测 ADHD 和抑郁症状在整个学龄期的新发病例和恶化。学龄前 EF 缺陷越大,突显网络的全局效率越高,且与背侧前扣带皮质枢纽的四个区域和岛叶枢纽的一个区域的连接发生改变,而这些改变的连接与 ADHD 和抑郁症状的增加有关。
早期执行功能缺陷可能是儿童发生 ADHD 和/或抑郁的早期共同易感性因素,与与执行过程相关的网络和枢纽区域的功能连接改变有关。未来的研究可能有助于阐明特定的 EF 缺陷是否与这两种疾病的发展有关。