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很重要,但人们对数学技能的神经相关性知之甚少。
数学或其与大脑中语言处理的相互作用。流行的文献假定,数感,
掌握数字概念的能力,可以理解为两种形式的计算能力:精确和近似。
与近似计算不同,近似计算被认为是理解大小的先天能力,精确
计算能力被认为与语言密切相关,因为它依赖于符号交流和更高的认知能力。
skills.然而,精确计算能力的神经基础比近似计算能力的研究要少得多,
它与语言区域的联系还没有被探索过。这项研究神经系统的新工作
通过已知语言领域和途径的透镜来研究算术能力的相关性将有助于揭示数学能力,
特别是当它们与语言有关时,并将提高对相关疾病后果的理解,
如中风后经常合并的失语症和失算症。为了填补这些知识空白,
该项目使用损伤方法来执行目标感兴趣区域(ROI)、基于体素和基于束的
病变-症状分析包括结构磁共振成像(T1、T2、FLAIR MRI)和弥散加权成像(DWI)。数据将从75-125名左半球局灶性脑梗死患者的样本中提取。
中风导致的损伤该项目从大量的计算能力和语言行为数据中提取,
与允许不同类型的病变-症状分析的多模态神经成像数据相结合。的
一种假设认为,精确的计算能力是由顶内沟(IPS)区域支持的,
与近似计算能力和与语言能力相关的大脑区域密切相关。这
导致了进一步的假设,即与语言相关区域和通路的损伤相关的精确计算能力的缺陷将与语言功能的缺陷共同变化。为了研究
语言和算术过程之间的关系,目标1将使用有针对性的ROI方法来调查
投资回报率牵连在算术和语言文学。Aim 2将在一个
一组11个数字和语言神经心理学指标,然后将结果用于多变量损伤-
症状映射分析,以阐明有助于语言和算术技能的大脑区域。目的
3将探讨白色物质的连通性的算术和语言网络,通过使用单变量
以及基于弥散加权脑体积的多变量病变-症状分析。这项研究将
最终了解了计算网络的灰质结构和白色物质连接,
特别是当它涉及到语言网络时。通过广泛的神经成像技术,
定量方法,解决了符号传播研究的一个新领域,该提案将是
无价的算术和语言研究和申请人的最终目标,雇用跨学科的
作为一名独立的研究者,她研究语言、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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