故事听力过程中感觉和执行功能网络的功能连通性与联合阅读过程中父母/儿童互动有关:功能性MRI扩散图研究

IF 2.4 3区 医学 Q2 NEUROIMAGING
Tzipi Horowitz Kraus, Marwan Bebar, Adi Jacobson, John Hutton
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引用次数: 0

摘要

共享阅读过程中亲子互动的质量(“共享阅读质量”)与认知和关系利益密切相关。然而,共享阅读质量与阅读相关脑网络的激活和同步之间的关系尚未被表征。目前的研究涉及22名24岁的女孩,她们完成了功能性核磁共振成像,包括一个有效的故事听任务,以及一个主要的父母。在MRI之前,对父母和孩子一起阅读的视频进行观察,然后使用标准化的计分表对亲子语言和非语言互动进行量化编码。行为测量包括人口统计和母亲抑郁量表。为了实现这一目标,利用fMRI故事聆听数据创建扩散图算法,然后对共享阅读观察期间的亲子互动水平进行分类。该算法利用已知支持阅读的大脑区域的功能磁共振成像扩散模式,将亲子参与得分较高的儿童聚类。本研究建立了概念证明,将这种扩散图算法应用于大脑功能连接数据可以可靠地预测共享书籍阅读过程中的亲子互动。它还表明,算法方法可能是一种新颖的、数据驱动的手段,可以量化不同背景(例如,阅读、游戏)和人群中的亲子互动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Functional connectivity of sensory and executive function networks during a story listening task is related to parent/child interaction during joint reading: a functional MRI diffusion map study.

The quality of parent-child interaction during shared reading ("shared reading quality") is strongly linked to cognitive and relational benefits. However, the relationship between shared reading quality and activation and synchronization of reading-related brain networks has not yet been characterized. The current study involved 22 4-year-old girls who completed functional MRI including a validated stories listening task, and a primary parent. Prior to MRI, video observation of the parent and child reading together was conducted and later coded using a standardized scoring form quantifying parent-child verbal and nonverbal interaction. Behavioral measures included demographics and a maternal depression scale. To achieve this goal, fMRI stories-listening data was utilized to create a diffusion maps algorithm and then to classify the level of parent-child interaction during the shared reading observation. The algorithm clustered children with higher parent-child engagement scores with fMRI diffusion patterns in regions of the brain known to support reading. This study establishes proof-of-concept that applying this diffusion maps algorithm to brain functional connectivity data can reliably predict parent-child interaction during shared book reading. It also suggests that an algorithmic approach may be a novel, data-driven means to quantify parent-child interaction in different contexts (e.g., reading, play) and populations.

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来源期刊
Brain Imaging and Behavior
Brain Imaging and Behavior 医学-神经成像
CiteScore
7.20
自引率
0.00%
发文量
154
审稿时长
3 months
期刊介绍: Brain Imaging and Behavior is a bi-monthly, peer-reviewed journal, that publishes clinically relevant research using neuroimaging approaches to enhance our understanding of disorders of higher brain function. The journal is targeted at clinicians and researchers in fields concerned with human brain-behavior relationships, such as neuropsychology, psychiatry, neurology, neurosurgery, rehabilitation, and cognitive neuroscience.
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