Neural Basis of Math and Aphasia
数学和失语症的神经基础
基本信息
- 批准号:10606120
- 负责人:
- 金额:$ 4.68万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-01-01 至 2026-12-31
- 项目状态:未结题
- 来源:
- 关键词:AddressAdultAnisotropyAphasiaAreaBehavioralBrainBrain regionBroca&aposs areaCodeCognitionCognitiveCommunicationCommunication ResearchCoupledDataData SetDiffusion Magnetic Resonance ImagingDiseaseEducationFactor AnalysisFiberFoundationsFunctional Magnetic Resonance ImagingFunctional disorderFutureGoalsIndividualInferior frontal gyrusKnowledgeLanguageLanguage DisordersLeftLesionLifeLightLinkLiteratureMagnetic Resonance ImagingMapsMathematicsMeasuresMediationMethodologyMethodsModelingNecrosisNeurobiologyNeuropsychologyPathway interactionsPerformancePlayProcessReportingResearchResearch PersonnelResearch ProposalsRoleSamplingSemanticsSeveritiesSolidStrokeStructureSymptomsSystemTechniquesVariantVisualWorkangular gyrusbasebehavior testbrain volumecareercareer developmentcognitive skillcomorbiditydesigndiffusion weightedexperiencegraspgray matterhemisphere damageimprovedinterdisciplinary approachinterestintraparietal sulcuslanguage processinglensmathematical abilitymultimodal neuroimagingneural correlateneuroimagingnovelrelating to nervous systemskillssuccesstheoriestractographyvectorwhite matter
项目摘要
Project Summary
Despite the importance of math skills in daily life tasks, relatively little is known about the neural correlates of
math or its interaction with language processing in the brain. Prevailing literature posits that number sense, the
ability to grasp the concept of numbers, can be understood as two forms of numeracy: precise and approximate.
Unlike approximate numeracy, which is considered to be the innate ability to understand magnitude, precise
numeracy is thought to be strongly tied to language as it relies on symbolic communication and higher cognitive
skills. However, the neural basis of precise numeracy is significantly less studied than approximate numeracy,
and its connection to language areas has not yet been explored. This novel work investigating the neural
correlates of numeracy through the lens of known language areas and pathways will shed light on math abilities,
particularly as they relate to language, and will improve understanding of the consequences of related disorders,
such as the frequently co-morbid aphasia and acalculia following stroke. In order to fill in these knowledge gaps,
the project uses the lesion method to perform targeted region-of-interest (ROI), voxel-based, and tract-based
lesion-symptom analyses involving structural magnetic resonance imaging (T1, T2, FLAIR MRI) and diffusion-weighted imaging (DWI). Data will be drawn from a sample of 75-125 individuals with left-hemisphere focal
lesions due to stroke. The project draws from an extensive array of numeracy and language behavioral data,
coupled with multimodal neuroimaging data that allows for different types of lesion-symptom analyses. The
hypothesis states that precise numeracy is supported by both the intraparietal sulcus (IPS) area that has
been strongly linked to approximate numeracy, and brain regions associated with language ability. This
leads to a further hypothesis that deficits in precise numeracy associated with damage to language-related regions and pathways will co-vary with deficits in language functions. In order to investigate the
relationship between language and numeracy processes, Aim 1 will use a targeted ROI approach to investigate
ROIs implicated in numeracy and language literature. Aim 2 will perform a data-driven factor analysis across a
set of 11 numerical and language neuropsychological measures, and then use the results in a multivariate lesion-
symptom mapping analysis to elucidate brain regions that contribute to both language and numeracy skills. Aim
3 will explore white matter connectivity of the numeracy and language networks through the use of univariate
and multivariate lesion-symptom analyses based on diffusion-weighted brain volumes. This research will
culminate in knowledge of both gray matter structures and white matter connectivity of the numeracy network,
particularly as it relates to the language network. Through a broad range of neuroimaging techniques and
quantitative methodology that address a novel area of symbolic communication research, the proposal will be
invaluable to numeracy and language research and the applicant’s ultimate goal of employing an interdisciplinary
approach for her career as an independent investigator studying language, numeracy, and cognition.
项目摘要
尽管数学技能在日常生活任务中的重要性,但关于神经相关性的知之甚少
数学或与大脑中语言处理的互动。流行的文献认为数字感,
抓住数字概念的能力可以理解为两种形式的函数:精确和近似。
与近似算术不同,这被认为是理解大小的先天能力,精度
算术被认为与语言密切相关,因为它依赖于象征性交流和更高的认知能力
技能。但是,精度算术的神经元基础显着少于近似算术的研究。
尚未探索它与语言领域的联系。这项研究中立的小说作品
通过已知语言领域和途径的镜头的算术相关性将阐明数学能力,
特别是它们与语言相关,并将提高对相关疾病后果的理解,
例如中风后经常的合并症失语和a刺。为了填补这些知识空白,
该项目使用病变方法执行目标区域(ROI),基于体素和基于区域的区域
病变 - 症状分析涉及结构磁共振成像(T1,T2,FLAIR MRI)和扩散加权成像(DWI)。数据将从75-125个患有左半球局灶性的个体的样本中获取
因中风而导致的病变。该项目摘自广泛的算术和语言行为数据,
结合多模式神经影像学数据,允许不同类型的病变症状分析。这
假设指出,精确的算术均由具有
与近似值的数字和与语言能力相关的大脑区域密切相关。这
导致进一步的假设,该假设在与语言相关区域的损害和途径相关的精确算术中定义将与语言功能中的定义共同变化。为了调查
语言与算术过程之间的关系,AIM 1将使用针对性的ROI方法进行调查
ROI在算术和语言文献中实施。 AIM 2将对数据进行数据驱动因素分析
一组11种数值和语言神经心理学措施,然后在多元病变中使用结果
症状映射分析以阐明有助于语言和数字技能的大脑区域。目的
3将通过使用单变量来探索算法和语言网络的白色物质连接性
基于扩散加权的脑容量进行的多元病变 - 症状分析。这项研究会
最终了解灰质结构和算术网络的白质连接性,
特别是与语言网络有关。通过广泛的神经影像技术和
定量方法论解决了符号通信研究的新领域,该提案将是
对算术和语言研究以及申请人的最终目标是使用跨学科的最终目标
她的职业生涯是一名独立研究者,研究语言,算术和认知。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Erin Duricy的其他文献
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