The brain bases of magnitude processing in children with math disability before and after math intervention.

数学干预前后数学障碍儿童的大脑量级处理基础。

• 批准号: 10606091
• 负责人: Marissa Laws
• 金额: $ 3.41万
• 依托单位: GEORGETOWN UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-26 至 2023-09-25
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10606091
• 关键词: Address; Adult; Affect; Arithmetic; Base of the Brain; Behavioral; Bilateral; Brain; Brain imaging; Brain region; Child; Competence; Data; Development; Educational workshop; Etiology; Functional Magnetic Resonance Imaging; Future; Goals; Impairment; Individual; Individual Differences; Inferior; Inferior frontal gyrus; Instruction; Insula of Reil; Intelligence; Intervention; Judgment; Language; Learning; Learning Disabilities; Life; Light; Maps; Mathematics; Measures; Mediating; Nature; Neuropsychological Tests; Outcome; Parietal; Parietal Lobe; Performance; Population; Price; Reading; Research; Retrieval; Role; Sampling; Seeds; Specificity; Standardization; Structure of superior frontal gyrus; System; Testing; behavioral impairment; brain behavior; brain dysfunction; executive function; experience; imaging study; intraparietal sulcus; longitudinal analysis; mathematical ability; mathematical learning; mathematics disability; neural correlate; neuroimaging; recruit; remediation; response; skills; success; support network; training opportunity; tutoring

PROJECT SUMMARY / ABSTRACT Numerical magnitude processing allows us to comprehend and compare quantities, in both symbolic and non-symbolic formats. This skill is thought to be critical for successful math learning, as evidenced by correlations between performance on numerical magnitude processing tasks and both concurrent and future math achievement. Magnitude processing has been reliably shown to recruit the brain’s frontoparietal network, including the intraparietal sulcus (IPS) and inferior frontal gyrus (IFG). Developmental dyscalculia, or math disability (MD), affects 6-14% of the population and is characterized by poor accuracy and fluency with arithmetic. Children with MD frequently show poor magnitude processing ability, as well as differences in frontoparietal brain activity when performing magnitude processing or arithmetic tasks. Despite prior research, the relationships between the brain regions that subserve magnitude processing and performance on specific math skills in children with MD are poorly understood. Further, to address the causal nature of any such relationships, it is necessary to characterize whether brain function during numerical magnitude processing changes following intervention (through tutoring in math), and if this brain function relates to the extent of the performance gains made in math skills following intervention. If poor magnitude processing is a cause of MD, then brain networks supporting this skill should be directly related to performance on specific math tasks. Furthermore, changes in brain function should accompany changes in these math tasks in response to the intervention. Where and whether these functional changes occur will be indicative of whether there is a role of the frontoparietal magnitude processing network in successful treatment. In the proposed study, I will investigate magnitude processing and its neural correlates (using fMRI) in children with MD, both cross-sectionally (Aim 1) and longitudinally in the context of an intervention (Aim 2). In Aim 1, I will assess whether activity and functional connectivity (FC) during a magnitude processing task correlate with performance on specific tests of math achievement. We expect to find correlations with math skills that rely on procedural computation (rather than verbally-mediated fact retrieval), due to its reliance on magnitude representations. In Aim 2, using data before and after math intervention, I will first investigate whether baseline (pre-intervention) activation/FC of frontoparietal regions (including IPS and IFG) predicts future gains in magnitude-reliant math subskills (2a). I will also assess pre-to-post activation/FC change in these magnitude processing regions (2b), and whether the degree of functional change correlates with degree of behavioral performance change (2c). Through these results, we will gain a better understanding of the relationship between magnitude processing in the brain and behavior, and furthermore whether changes in brain function in magnitude processing regions are the mechanism of successful math learning in MD. The results will shed light on the specific role of magnitude processing in math (dis)ability and in treatments of MD.

项目概要/摘要 数值处理使我们能够理解和比较符号和数量的数量 非符号格式。这项技能被认为对于成功的数学学习至关重要，这一点可以证明 数值处理任务的性能与并发和未来的性能之间的相关性 数学成绩。幅度处理已被可靠地证明可以招募大脑的额顶叶网络， 包括顶内沟（IPS）和额下回（IFG）。发展性计算障碍或数学 残疾 (MD)，影响 6-14% 的人口，其特点是准确性和流畅性较差 算术。患有MD的儿童经常表现出较差的幅度处理能力，以及差异 执行幅度处理或算术任务时的额顶脑活动。尽管之前有研究， 促进幅度处理和特定表现的大脑区域之间的关系 人们对 MD 儿童的数学技能知之甚少。此外，为了解决任何此类事件的因果性质 关系，有必要表征数字幅度处理过程中大脑功能是否正常 干预（通过数学辅导）后发生变化，并且这种大脑功能是否与 干预后数学技能的表现有所提高。如果震级处理不当是 MD 的一个原因， 那么支持这项技能的大脑网络应该与特定数学任务的表现直接相关。 此外，大脑功能的变化应该伴随着这些数学任务的变化，以响应 干涉。这些功能变化发生在何处以及是否发生将表明是否存在以下作用： 成功治疗中的额顶量级处理网络。 在拟议的研究中，我将研究幅度处理及其神经相关性（使用功能磁共振成像） 患有 MD 的儿童，在干预的背景下进行横向（目标 1）和纵向（目标 2）。在 目标 1，我将评估在量级处理任务期间是否存在活动和功能连接 (FC) 与特定数学成绩测试的表现相关。我们期望找到与数学的相关性 依赖于程序计算（而不是口头介导的事实检索）的技能，因为它依赖于 幅度表示。在目标 2 中，使用数学干预之前和之后的数据，我将首先进行调查 额顶叶区域（包括 IPS 和 IFG）的基线（干预前）激活/FC 是否可以预测 未来在依赖量级的数学子技能方面的进步 (2a)。我还将评估激活前/激活后/FC 的变化 这些幅度处理区域 (2b)，以及功能变化的程度是否与程度相关 行为表现变化 (2c)。通过这些结果，我们将更好地了解 大脑的幅度处理和行为之间的关系，以及是否发生变化 幅度处理区域的大脑功能是医学博士成功数学学习的机制。这 结果将揭示幅度处理在数学（残疾）能力和MD治疗中的具体作用。