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.

项目总结/摘要 数值幅度处理使我们能够理解和比较数量，无论是在符号和 非符号格式。这种技能被认为是成功的数学学习的关键，如以下所示： 数字量加工任务的表现与当前和未来的相关性 数学成绩幅度处理已经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，其特征是准确性和流畅性差， 算术患有MD的儿童经常表现出较差的幅度处理能力，以及 额顶叶的大脑活动时，执行数量处理或算术任务。尽管先前的研究， 在特定的大脑区域之间的关系，有助于幅度处理和性能 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，有必要表征大脑在数字幅度处理过程中的功能 干预后的变化（通过数学辅导），如果这种大脑功能与 干预后数学技能的表现增益。如果差的幅度处理是MD的原因， 那么支持这种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， 干预这些功能变化发生在何处以及是否发生，将表明是否存在 额顶叶幅度处理网络的成功治疗。 在这项研究中，我将研究幅度处理及其神经相关（使用功能磁共振成像）， MD儿童，横向（目标1）和纵向干预（目标2）。在 目的1，我将评估是否活动和功能连接（FC）在一个量级处理任务 与数学成绩的特定测试表现相关。我们希望能找到与数学的相关性 依赖于程序计算的技能（而不是口头介导的事实检索），因为它依赖于 数量级表示。在目标2中，使用数学干预前后的数据，我将首先调查 额顶区（包括IPS和IFG）的基线（干预前）激活/FC是否预测 依赖数量的数学子技能的未来收益（2a）。我还将评估激活前后/FC的变化， 这些大小处理区域（2b），以及功能变化的程度是否与程度相关， 行为表现的变化（2C）。通过这些结果，我们将更好地了解 大脑中的幅度处理和行为之间的关系，以及大脑中的 数量加工区的脑功能是MD患者数学学习成功的机制。的 结果将阐明数量级处理在数学（disability）能力和MD治疗中的具体作用。