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.

项目摘要/摘要 数值大小处理使我们能够理解和比较数量，包括符号和 非符号格式。这项技能被认为是成功学习数学的关键，这一点得到了证明。 数值大小加工任务的成绩与当前和未来的关系 数学成绩。已有可靠的证据表明，大小处理可以招募大脑的额顶网络， 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利性较差 算术。患有MD的儿童经常表现出较差的幅度加工能力，以及在 额顶脑活动，在执行大小处理或算术任务时。尽管之前有过研究， 辅助大小加工的大脑区域与特定任务的表现之间的关系 人们对MD儿童的数学技能了解甚少。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大小加工过程中的功能 干预后的变化(通过数学辅导)，以及这种大脑功能是否与 经过干预后，学生在数学技能方面的成绩有所提高。如果糟糕的幅度处理是MD的原因， 那么，支持这一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来响应 干预。这些功能变化发生在哪里以及是否发生将表明是否存在 额顶大小处理网络在成功治疗中的作用。 在拟议的研究中，我将研究大小加工及其神经关联(使用功能磁共振成像) 在干预的背景下，横断面(目标1)和纵向(目标2)的MD儿童。在……里面 目标1，我将评估在大小加工任务中的活动和功能连接性(FC 与数学成绩的具体测试成绩相关。我们希望找到与数学相关的东西 依赖程序计算(而不是口头调解的事实检索)的技能，因为它依赖于 震级表示法。在目标2中，使用数学干预前后的数据，我将首先调查 基线(干预前)额顶区域(包括IPS和IFG)的激活/Fc是否可以预测 依赖数量的数学子技能的未来收益(2a)。我还将评估从激活前到激活后/FC更改 这些大小处理区域(2b)，以及功能改变的程度是否与程度相关 行为绩效改变(2c)。通过这些结果，我们将更好地了解 大脑中的大小处理与行为之间的关系，以及进一步说， 大小加工区域的脑功能是MD学生成功学习数学的机制。这个 研究结果将有助于揭示数量级加工在数学能力和MD治疗中的具体作用。