Exploring the brain basis of rhythm in individuals with aphasia
探索失语症患者节律的大脑基础
基本信息
- 批准号:10386555
- 负责人:
- 金额:$ 3.08万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-09-01 至 2023-08-31
- 项目状态:已结题
- 来源:
- 关键词:Acquired Communication DisordersAddressAffectAgeAlpha RhythmAphasiaAreaAuditoryBasal GangliaBasic ScienceBehavioralBrainBrain InjuriesBrain regionBrain scanChronicClinicClinicalClinical ResearchClinical SciencesCognitiveCommunication impairmentConflict (Psychology)Control GroupsData AnalysesDiscriminationDiseaseElementsEmpirical ResearchExhibitsFutureGoalsHeterogeneityImpairmentIndividualIndividual DifferencesInferior frontal gyrusKnowledgeLanguageLeadLeftLesionLinguisticsLinkLiteratureLocationMeasuresMentored Research Scientist Development AwardMethodologyMotorMusicNeurobiologyOutputParticipantPathologistPatientsPatternPerceptionPerformancePeriodicityPopulationProductionRecoveryRehabilitation therapyRoleSpeechStimulusStrokeStructureSymptomsTechniquesTherapeuticTimeTissuesTrainingUnited StatesWorkbasebehavioral studybrain behaviorclinically relevantcohortexperimental studyimprovedindividual variationinfancyknowledge basemachine learning methodmelodic intonation therapyneuromechanismpost strokeprecision medicinepreservationrelating to nervous systemskillsstemstroke-induced aphasiatherapy developmenttherapy outcometrait
项目摘要
PROJECT SUMMARY
The goal of this proposal is to characterize the neural substrates underlying rhythm abilities and the
relationship with language profiles in individuals with aphasia. Aphasia is an acquired communication disorder
resulting from damage to language regions of the brain, with stroke as the leading cause. Currently, over 2
million individuals in the United States are living with aphasia. Aphasia is notoriously difficult to treat and
patients exhibit significant individual variability in recovery trajectories and in what therapeutic elements work
best in aiding such recovery. Speech-language pathologists frequently use rhythmic elements (e.g., tapping to
a beat) in the clinic in order to facilitate speech output. However, there is a lack of a deep and systematic
empirical assessment of rhythm in aphasia at both a behavioral and neural level.
Our first aim is to characterize the neural basis of individual differences in rhythm abilities in individuals with
chronic, post-stroke aphasia. To do this, we will administer a comprehensive battery of rhythm perception and
production tasks to a large cohort of individuals with aphasia and age-matched controls. We will then employ
multivariate lesion-symptom mapping, a machine-learning methodology for identifying brain-behavior
relationships, to determine which brain regions are associated with rhythm processing in aphasia. We
hypothesize that individuals who have damage to brain regions important for rhythm, including the basal
ganglia or the left inferior frontal gyrus (LIFG), will exhibit the greatest impairments in rhythm. Critically, the
LIFG is a core language region typically damaged in post-stroke, non-fluent aphasia.
Motivated by robust evidence for associations between rhythm and language across cognitive, neural, and
behavioral domains, we will assess the relationship between rhythm and language measures in aphasia in our
second aim. We predict that individuals with higher rhythm abilities will have higher language scores,
particularly on measures of connected speech.
This mentored training award will provide the applicant with training in advanced neural and behavioral data
analysis techniques and expertise in large-scale project management with a patient cohort. With significant and
timely clinical relevance, our proposal will address vital gaps in the literature by taking an individual differences
approach to understanding the relationship between rhythm, the brain, and language in aphasia.
项目摘要
该提议的目的是表征节奏能力的神经基质和
与失语症患者的语言概况的关系。失语症是一种获得的通讯障碍
由于对大脑语言区域的损害,中风是主要原因。目前,超过2
美国的百万个人患有失语症。失语症很难治疗和
患者在恢复轨迹和哪种治疗元素方面表现出明显的个体变异性
最好协助这种恢复。语言病理学家经常使用节奏元素(例如,攻击
在诊所中的节拍)是为了促进语音输出。但是,缺乏深度和系统的
在行为和神经层面上的失语症中节奏的经验评估。
我们的第一个目的是表征具有
慢性,中风后失语症。为此,我们将管理一系列的节奏感知和
对大量失语和年龄匹配的对照组的人群的生产任务。然后我们将雇用
多变量病变 - 症状映射,一种用于识别脑行为的机器学习方法
关系,确定哪些大脑区域与失语症中的节奏处理有关。我们
假设对大脑区域损害的个人对节奏很重要,包括基础
神经节或左下额回(LIFG)将表现出节奏最大的障碍。至关重要的是
LIFG是一个核心语言区域,通常在中风后,非浮力失语症中受损。
由在认知,神经和
行为领域,我们将评估我们的节奏与语言措施之间的关系
第二个目标。我们预测,具有较高节奏能力的人的语言得分将更高,
特别是关于连接语音的度量。
该指导培训奖将为申请人提供高级神经和行为数据的培训
与患者队列的大规模项目管理方面的分析技术和专业知识。具有重要意义和
及时的临床相关性,我们的提议将通过个人差异来解决文献中的重要差距
理解节奏,大脑和语言之间的关系的方法。
项目成果
期刊论文数量(0)
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会议论文数量(0)
专利数量(0)
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