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注意缺陷多动障碍亚型中智力的静态和动态评估

Static and Dynamic Assessment of Intelligence in ADHD Subtypes.

作者信息

Fabio Rosa Angela, Towey Giulia Emma, Caprì Tindara

机构信息

Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy.

Department of Life and Health Sciences, Link Campus University, Via del Casale di S. Pio V, Rome, Italy.

出版信息

Front Psychol. 2022 Feb 25;13:846052. doi: 10.3389/fpsyg.2022.846052. eCollection 2022.

DOI:10.3389/fpsyg.2022.846052
PMID:35282242
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8914219/
Abstract

There is a debate about the measure of IQ in children with ADHD. Some studies report that, compared to static assessment procedures, dynamic assessment of intelligence can better measure cognitive modifiability and plasticity. The present study was designed to examine children belonging to different ADHD subtypes (inattentive, hyperactive/impulsive, and combined) in terms of both static (WISC scores) and dynamic measures (Modifiability index). Thirty-four children (12 ADHD-I, 10 ADHD-H, and 12 ADHD-C) were compared to a sample of 27 typically developing children. Results indicate that only the inattentive and the combined subtypes, compared with the normative sample, show lower IQ scores. The ADHD-I group presents generally low WISC scores and ADHD-H presents generally high WISC scores. Moreover, the ADHD-C group shows a low static score and a high dynamic score, indicating a wide breadth of Vygotskian children's zone of proximal development. Static and dynamic measurements together can indeed be considered a comprehensive examination of intelligence levels in ADHD children and may be essential in predicting learning capacities.

摘要

关于多动症儿童智商的测量存在争议。一些研究报告称,与静态评估程序相比,动态智力评估能更好地衡量认知可变性和可塑性。本研究旨在从静态(韦氏智力量表得分)和动态测量(可变性指数)两方面对不同多动症亚型(注意力不集中型、多动/冲动型和混合型)的儿童进行检查。将34名儿童(12名注意力不集中型多动症、10名多动/冲动型多动症和12名混合型多动症)与27名发育正常的儿童样本进行比较。结果表明,只有注意力不集中型和混合型亚型与正常样本相比,智商得分较低。注意力不集中型多动症组韦氏智力量表得分普遍较低,多动/冲动型多动症组韦氏智力量表得分普遍较高。此外,混合型多动症组静态得分低而动态得分高,表明维果茨基提出的儿童最近发展区范围较广。静态和动态测量结合起来确实可以被视为对多动症儿童智力水平的全面检查,并且可能对预测学习能力至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c4a2/8914219/6050fe408782/fpsyg-13-846052-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c4a2/8914219/dccc65219925/fpsyg-13-846052-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c4a2/8914219/6050fe408782/fpsyg-13-846052-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c4a2/8914219/dccc65219925/fpsyg-13-846052-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c4a2/8914219/6050fe408782/fpsyg-13-846052-g002.jpg

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Multiplex temporal measures reflecting neural underpinnings of brain functional connectivity under cognitive load in Autism Spectrum Disorder.反映自闭症谱系障碍认知负荷下大脑功能连接神经基础的多重时间测量。
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