The overlap of speech production and verbal working memory
The overlap of speech production and verbal working memory
批准号:
10735031
负责人:
Gregory B Cogan
金额:
$48.26万
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
项目状态:
未结题
起止时间:
2023-09-20 至 2028-05-31
关键词:
AddressAmericanAnatomyApraxiasArchitectureBehaviorBehavioralBrainClinicClinicalClinical ResearchCognitionDataDissociationElectric StimulationElectrocorticogramElectrodesEnvironmentEpilepsyEtiologyFunctional disorderGrainHumanImplanted ElectrodesInferiorKnowledgeLanguageLanguage Development DisordersLanguage DisordersLesionLinkLocationMaintenanceMapsMeasuresMethodsModelingModificationMonitorMotorMotor CortexNeuroanatomyOperative Surgical ProceduresParietalPatientsPopulationProductionPropertyRecoveryRehabilitation therapyResearchResolutionRoleSamplingSeriesShort-Term MemorySignal TransductionSiteSpecificitySpeechSpeech DisordersStrokeSymptomsSystemTechniquesTemporal LobeTestingTimeTranslational ResearchUpdateclinical carecognitive processdensitydesignflexibilityinsightmemory processneuralneural circuitneuromechanismneurosurgeryneurotransmissionnovelnovel therapeutic interventionphonologyresponsesoundspeech recognitionstroke rehabilitationstroke-induced aphasiatemporal measurementverbal
中文摘要
摘要
为了在日常对话中表达思想,我们的大脑必须保持语音信息,
短时间的言语工作记忆(vWM)。这对日常会话尤为重要
在混乱的环境中,说话的计划会很快改变,大脑必须适应这些变化。
变化先前的vWM模型表明,vWM在解剖学和功能上是离散的,
与言语产生的间接互动。然而,中风后病变的证据表明,
广泛的言语产生缺陷,也与vWM的问题,反对
言语产生和vWM之间存在强烈的分离。相反,我们建议将vWM集成到
语音生产规划系统,共享解剖和功能基板。为了研究这种重叠,我们
我建议通过一个人群来检查与这种功能重叠相关的神经反应,
作为临床护理的一部分,神经外科患者将电极直接植入大脑,
这给了我们一个独特的机会,可以在过去已经完成的更高分辨率下研究人类大脑。我们将
利用这种访问来解决以下问题:1)语音产生和vWM在
大脑?2)在规划演讲时,需要掌握哪些信息?3)什么样的运动特征是
在言语产生和虚拟WM之间共享吗?我们将使用一系列任务,
vWM在不同言语产生成分中作用及直接测量人脑反应
大脑记录,包括具有前所未有的空间分辨率(<1 mm,高达
1024个电极,采样增加10倍)。理解这一基本认知过程及其在
日常语言的使用将导致更有针对性的方法,以帮助超过100万美国人谁遭受
中风引起的失语症
英文摘要
Abstract
To enable the expression of ideas in everyday conversation, our brain must hold on to speech information for
short periods of time in verbal working memory (vWM). This is particularly important for everyday conversation
that takes place in chaotic environments: Plans for speaking change quickly, and the brain has to adapt to these
changes. Previous models of vWM, have suggested that vWM is anatomically and functionally discrete, with only
indirect interactions with speech production. Evidence from lesions following strokes however, have shown a
wide range of speech production deficits that are also associated with problems with vWM, arguing against a
strong dissociation between speech production and vWM. We propose instead that vWM is integrated in the
speech production planning system, sharing an anatomical and functional substrate. To study this overlap, we
propose to examine neural responses associated with this functional overlap through a population of
neurosurgical patients who as part of their clinical care have electrodes implanted directly in their brain, giving
us a unique opportunity to study the human brain at a greater resolution that has been done in the past. We will
leverage this access to address the following questions: 1) Does speech production and vWM overlap in the
brain? 2) What kind of information is held when planning for speech production? 3) What motor features are
shared between speech production and vWM? We will use a series of tasks that are designed to separate out
the role of vWM for different speech production components and measure human brain responses using direct
brain recordings, including high density electrodes that have unprecedented spatial resolution (<1 mm, up to
1024 electrodes for a 10 x increase in sampling). Understanding this basic cognitive process and their role in
everyday language use will lead to more targeted approaches to help the over 1 million Americans who suffer
from stroke-induced aphasia.
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