儿童医学疾病中数据驱动的行为概况。

IF 1.9 3区 心理学 Q3 CLINICAL NEUROLOGY
Chelsea L Black, Xiaozhen You, Eleanor Fanto, Allison Carney, Chandan J Vaidya, Lauren Kenworthy, Stewart H Mostofsky, Madison M Berl
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引用次数: 0

摘要

行为障碍与儿科医疗条件共病,影响学术、社会情感和医疗结果。在之前的工作中,我们将图论分析应用于父母报告的行为测量,从精神疾病儿童和健康对照(由儿童国家医院、乔治城大学和肯尼迪克里格研究所的参与者组成)的多站点数据库中获得多维概况,并确定了三个独特的概况,其特征是在(a)元认知、(b)情绪调节和(c)抑制方面相对薄弱。在这项研究中,我们还在2014年至2018年在儿童国家医院收集的大型(N = 466)横断面临床数据库中发现了大致相同的行为特征,该数据库由患有影响中枢神经系统的儿科医学疾病的儿童组成。然后将来自精神病学样本的支持向量机(SVM)分类应用于医学样本,并具有很高(但不是完美)的准确性,表明医疗和非医疗人群之间的轮廓构成存在细微差异,特别是在抑制亚组中。这些发现进一步支持了三种跨诊断概况的存在,代表了个性化干预的独特目标。然而,研究结果也强调了行为问题的病因学(精神病学与医学)可能很重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data-driven profiles of behavior in pediatric medical disorders.

Behavioral impairment is comorbid with pediatric medical conditions and impacts academic, social-emotional, and medical outcomes. In prior work, we applied graph-theory analysis to parent-report measures of behavior to derive multidimensional profiles in a multi-site database of children with psychiatric disorders and healthy controls (comprised of participants from Children's National Hospital, Georgetown University, and Kennedy Krieger Institute), and identified three unique profiles characterized by relative weaknesses in (a) metacognition, (b) emotion regulation, and (c) inhibition. In this study, we also found broadly the same behavioral profiles within a large (N = 466) cross-sectional clinical database collected at Children's National Hospital from 2014 to 2018 comprised of children with pediatric medical conditions affecting the central nervous system. A support vector machine (SVM) classification derived from the psychiatric sample was then applied to the medical sample and had high (but not perfect) accuracy, suggesting subtle differences in profile composition between medical and nonmedical populations, particularly within the Inhibit subgroup. These findings lend further support to the existence of three transdiagnostic profiles, representing unique targets for personalized intervention. However, findings also highlight that the etiology of behavior problems (psychiatric versus medical) may matter.

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来源期刊
Child Neuropsychology
Child Neuropsychology 医学-临床神经学
CiteScore
4.10
自引率
9.10%
发文量
71
审稿时长
>12 weeks
期刊介绍: The purposes of Child Neuropsychology are to: publish research on the neuropsychological effects of disorders which affect brain functioning in children and adolescents, publish research on the neuropsychological dimensions of development in childhood and adolescence and promote the integration of theory, method and research findings in child/developmental neuropsychology. The primary emphasis of Child Neuropsychology is to publish original empirical research. Theoretical and methodological papers and theoretically relevant case studies are welcome. Critical reviews of topics pertinent to child/developmental neuropsychology are encouraged. Emphases of interest include the following: information processing mechanisms; the impact of injury or disease on neuropsychological functioning; behavioral cognitive and pharmacological approaches to treatment/intervention; psychosocial correlates of neuropsychological dysfunction; definitive normative, reliability, and validity studies of psychometric and other procedures used in the neuropsychological assessment of children and adolescents. Articles on both normal and dysfunctional development that are relevant to the aforementioned dimensions are welcome. Multiple approaches (e.g., basic, applied, clinical) and multiple methodologies (e.g., cross-sectional, longitudinal, experimental, multivariate, correlational) are appropriate. Books, media, and software reviews will be published.
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