Functional connectivity during frustration: a preliminary study of predictive modeling of irritability in youth.
Functional connectivity during frustration: a preliminary study of predictive modeling of irritability in youth.
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挫折期间的功能连接：青少年易怒预测模型的初步研究。
DOI：
10.1038/s41386-020-00954-8
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发表时间：
2021-06
期刊：
影响因子：
--
通讯作者：
Tseng WL
中科院分区：
文献类型：
--
作者：
Scheinost D;Dadashkarimi J;Finn ES;Wambach CG;MacGillivray C;Roule AL;Niendam TA;Pine DS;Brotman MA;Leibenluft E;Tseng WL
易怒贯穿了许多儿科疾病，是儿童精神病学中常见的主诉；然而，其神经机制尚不清楚。易怒的一个核心病理生理缺陷是对挫折性无奖励的异常反应。在这里，我们进行了一项初步的fMRI研究，以检查在沮丧无奖励期间功能连接的能力，以预测跨诊断样本的易怒。这项研究包括69名青少年（平均年龄= 14.55岁），他们在不同的诊断组中有不同程度的易怒：破坏性情绪失调障碍（n = 20），注意力缺陷/多动障碍（n = 14），焦虑症（n = 12）和对照组（n = 23）。在fMRI期间，参与者完成了一个令人沮丧的认知灵活性任务。挫败感是通过操纵任务难度引起的，在需要认知灵活性的试验中，“挫折”块有50%的错误率和一些被操纵的反馈，而“非挫折”块有10%的错误率。挫折和非挫折块随机穿插。儿童和家长的情感反应指数报告被用作易怒的维度测量。基于连接体的预测建模是一种机器学习方法，通过十倍交叉验证来识别预测易怒的网络。沮丧（而非沮丧）街区的连通性预测了儿童报告的易怒（ρ = 0.24，均方根误差= 2.02,p = 0.03，排列检验，1000次迭代，单侧）。结果根据年龄、性别、药物、运动、注意力缺陷多动症和焦虑症状进行了调整。易怒的预测网络主要在运动-感觉网络内；运动-感觉网络、皮层下网络和显著性网络；在这些网络与额顶叶和内侧额叶网络之间。本研究提供了初步证据，表明个体在易怒方面的差异可能与沮丧时的功能连接有关，这是一种与表型相关的状态。
Irritability cuts across many pediatric disorders and is a common presenting complaint in child psychiatry; however, its neural mechanisms remain unclear. One core pathophysiological deficit of irritability is aberrant responses to frustrative nonreward. Here, we conducted a preliminary fMRI study to examine the ability of functional connectivity during frustrative nonreward to predict irritability in a transdiagnostic sample. This study included 69 youths (mean age = 14.55 years) with varying levels of irritability across diagnostic groups: disruptive mood dysregulation disorder (n = 20), attention-deficit/hyperactivity disorder (n = 14), anxiety disorder (n = 12), and controls (n = 23). During fMRI, participants completed a frustrating cognitive flexibility task. Frustration was evoked by manipulating task difficulty such that, on trials requiring cognitive flexibility, “frustration” blocks had a 50% error rate and some rigged feedback, while “nonfrustration” blocks had a 10% error rate. Frustration and nonfrustration blocks were randomly interspersed. Child and parent reports of the affective reactivity index were used as dimensional measures of irritability. Connectome-based predictive modeling, a machine learning approach, with tenfold cross-validation was conducted to identify networks predicting irritability. Connectivity during frustration (but not nonfrustration) blocks predicted child-reported irritability (ρ = 0.24, root mean square error = 2.02, p = 0.03, permutation testing, 1000 iterations, one-tailed). Results were adjusted for age, sex, medications, motion, ADHD, and anxiety symptoms. The predictive networks of irritability were primarily within motor-sensory networks; among motor-sensory, subcortical, and salience networks; and between these networks and frontoparietal and medial frontal networks. This study provides preliminary evidence that individual differences in irritability may be associated with functional connectivity during frustration, a phenotype-relevant state.
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DOI：
10.1146/annurev-clinpsy-032816-044941
发表时间：
2017-01-01
期刊：
ANNUAL REVIEW OF CLINICAL PSYCHOLOGY, VOL 13
影响因子：
--
作者：
Brotman, Melissa A.;Kircanski, Katharina;Leibenluft, Ellen
通讯作者：
Leibenluft, Ellen
任务引起的大脑连接促进了大脑行为关系中个体差异的检测。
影响因子：
5.7
作者：
Jiang, Rongtao;Zuo, Nianming;Sui, Jing
通讯作者：
Sui, Jing
影响因子：
5.7
作者：
Finn ES;Scheinost D;Finn DM;Shen X;Papademetris X;Constable RT
通讯作者：
Constable RT
影响因子：
2.6
作者：
Beyer, Frederike;Muente, Thomas F.;Kraemer, Ulrike M.
通讯作者：
Kraemer, Ulrike M.
影响因子：
3.4
作者：
Burokas, Aurelijus;Gutierrez-Cuesta, Javier;Maldonado, Rafael
通讯作者：
Maldonado, Rafael