Multisensory Processing of Human Speech Measured with msec and mm Resolution
Multisensory Processing of Human Speech Measured with msec and mm Resolution
批准号:
10417100
负责人:
Sameer Anil Sheth
金额:
$0.0万
依托单位国家:
美国
项目类别:
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-04-01 至 2023-12-31
关键词:
Acquired DeafnessAnatomic ModelsAnatomyAreaAuditoryAuditory areaBasic ScienceBayesian AnalysisBehaviorBrainClinicalCodeColorCommunicationComplexCustomDataData AnalysesData CollectionElectrocorticogramElectrodesEnglish LanguageEnsureEpilepsyEventFaceFunctional disorderGoalsHealthHearingHumanImplanted ElectrodesKnowledgeLateralLeadLinguisticsMeasuresMental DepressionModalityModelingMovementNeurosciencesOccipital lobeOral cavityOrangesPatientsProcessProgress ReportsPublishingQuality of lifeResearchResolutionSensorySeriesShapesSocial isolationSourceSpeechSpeech PerceptionStatistical ModelsStrokeTechniquesTemporal LobeTestingTimeTranslatingVeteransVisualVisual CortexVisualization softwareVoiceWorkaudiovisual speechbasebrain behaviorcognitive taskdesigndisabilityexperimental studyhearing impairmentimprovedlanguage impairmentmathematical modelmillimetermillisecondmultisensoryneuromechanismpredictive modelingrelating to nervous systemresponsesocial relationshipssoftware developmentsoundspeech processingtherapy designtoolvisual informationvisual speech
中文摘要
面对面的交流是人类最重要的互动形式。当我们交谈时,我们会收到
来自说话者声音的听觉信息和来自说话者面部的视觉信息。将这两者结合起来
信息的来源是困难的,因为它们到达得很快(大约每秒5个音节)和通信
说话者的声音和嘴巴动作之间是复杂的。我们建议研究
多感觉(听觉和视觉)言语感知的神经机制
脑电地形图(ECoG)是一种神经记录技术,将电极植入患者的大脑
癫痫患者。ECOG是我们研究问题的理想技术,因为它测量人脑
具有非常高的时间和空间分辨率(毫秒/毫米)的活动。ECOG可以用来检查
在语言感知过程中活跃的大脑区域的不同网络。听觉皮质中的电极强烈
由语音的听觉成分激活,而枕叶的电极被强烈激活
语音的视觉成分。在听觉和视觉皮质之间,后外侧颞叶皮质被认为是
将听觉和视觉语音结合起来。
听力不良是退伍军人最常见的残疾之一。因为言语是我们社会生活的基础
在人际关系中,言语感知能力差会导致社交孤立、抑郁和其他健康问题。一个
更好地理解多感官言语感知背后的神经机制将使我们能够
提高退伍军人的语言理解能力,使他们的生活质量得到重大改善。至
确保我们的结果立即适用于现实世界的情况,我们将研究大脑对
说英语的人说的自然的英语单词。
除了潜在的临床益处外,拟议的研究还将对基础
科学。多感觉整合是神经科学中的一个重要的新领域,已被证明是
大脑和行为的数学模型。我们的工作将成为实验和模型之间的桥梁
简单的多感官行为,如听觉-视觉定位和更复杂的认知任务,
以多感官言语感知为例。这些研究的成功完成将代表着
在我们对多感官语言感知的神经基础的理解上向前迈进了一大步。
英文摘要
Face-to-face communication is the most important form of human interaction. When conversing we receive
auditory information from the talker's voice and visual information from the talker's face. Combining these two
sources of information is difficult, as they arrive quickly (about 5 syllables per second) and the correspondence
between the vocal sounds and the mouth movements made by the talker is complex. We propose to study the
neural mechanisms that underlie multisensory (auditory and visual) speech perception using
electrocorticography (ECoG), a neural recording technique in which electrodes are implanted in the brain of
epileptic patients. ECoG is the ideal technique for our research question because it measures human brain
activity with very high temporal and spatial resolution (millisecond/millimeter). ECoG can be used to examine
the diverse network of brain areas active during speech perception. Electrodes in auditory cortex are strongly
activated by the auditory component of speech, while electrodes in occipital lobe are strongly activated by the
visual component of speech. Between auditory and visual cortex, posterior lateral temporal cortex is thought to
integrate auditory and visual speech.
Poor hearing is one of the most common disabilities in veterans. Since speech is the basis of our social
relationships, poor speech perception can lead to social isolation, depression and other health problems. A
better understanding of the neural mechanisms underlying multisensory speech perception will allow us to
improve veterans' ability to understand speech, leading to major improvements in their quality of life. To
ensure that our results are immediately applicable to real world situations, we will study brain responses to
natural English language words spoken by English talkers.
In addition to its potential clinical benefits, the proposed research will also have a significant impact on basic
science. Multisensory integration is a major new field in neuroscience and has proven to be fertile ground for
mathematical models of brain and behavior. Our work will serve as a bridge between experiments and models
of simple multisensory behavior, such as auditory-visual localization and more complex cognitive tasks,
exemplified by multisensory speech perception. The successful completion of these studies will represent a
major step forward in our understanding of the neural substrates of multisensory speech perception.
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DOI:
10.1093/cercor/bhu127
发表时间:
2015-11
期刊:
Cerebral cortex
影响因子:
3.7
作者:
[Inga M. Schepers;D. Yoshor;M. Beauchamp]
通讯作者:
Inga M. Schepers;D. Yoshor;M. Beauchamp
DOI:
10.1162/jocn_a_01110
发表时间:
2017-06
期刊:
Journal of cognitive neuroscience
影响因子:
3.2
作者:
[Ozker M, Schepers IM, Magnotti JF, Yoshor D, Beauchamp MS]
通讯作者:
Beauchamp MS
DOI:
10.3389/fnhum.2018.00141
发表时间:
2018
期刊:
Frontiers in human neuroscience
影响因子:
2.9
作者:
[Ozker M, Yoshor D, Beauchamp MS]
通讯作者:
Beauchamp MS
DOI:
10.7554/elife.30387
发表时间:
2018-02-27
期刊:
eLife
影响因子:
7.7
作者:
[Ozker M, Yoshor D, Beauchamp MS]
通讯作者:
Beauchamp MS
DOI:
10.1146/annurev-vision-111815-114525
发表时间:
2017-09-15
期刊:
Annual review of vision science
影响因子:
6
作者:
[Bosking WH, Beauchamp MS, Yoshor D]
通讯作者:
Yoshor D
Mapping Algorithmic State Space in the Human Brain
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批准号:10199622
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项目类别:
-
资助金额:$150.91万
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财政年份:2021
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负责人:Sameer Anil Sheth
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依托单位:
Mapping Algorithmic State Space in the Human Brain
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批准号:10613535
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项目类别:
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资助金额:$143.49万
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财政年份:2021
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负责人:Sameer Anil Sheth
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依托单位:
Mapping Algorithmic State Space in the Human Brain
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批准号:10406990
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项目类别:
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资助金额:$143.45万
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财政年份:2021
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负责人:Sameer Anil Sheth
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依托单位:
Mechanisms of Rapid, Flexible Cognitive Control in Human Prefrontal Cortex
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批准号:9792299
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资助金额:$66.56万
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财政年份:2018
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依托单位:
Cognitive control mechanisms in human prefrontal cortex
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批准号:9245738
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资助金额:$39.64万
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财政年份:2016
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负责人:Sameer Anil Sheth
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依托单位:
Multisensory Processing of Human Speech Measured with msec and mm Resolution
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批准号:10304159
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项目类别:
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资助金额:$0.0万
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财政年份:2015
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负责人:Sameer Anil Sheth
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依托单位:
Baylor Research Education Program in Neurosurgery
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批准号:10224345
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项目类别:
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资助金额:$9.1万
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财政年份:2010
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依托单位:
Baylor Research Education Program in Neurosurgery
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批准号:10413175
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项目类别:
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资助金额:$7.81万
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财政年份:2010
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负责人:Sameer Anil Sheth
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依托单位:
Baylor Research Education Program in Neurosurgery
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批准号:10677037
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项目类别:
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资助金额:$6.78万
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财政年份:2010
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依托单位:
Assessing neurovascular coupling with functional mapping
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批准号:6585227
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资助金额:$2.64万
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财政年份:2002
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负责人:Sameer Anil Sheth
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依托单位:
Assessing neurovascular coupling with functional mapping
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批准号:6663686
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项目类别:
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资助金额:$2.82万
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财政年份:2002
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负责人:Sameer Anil Sheth
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