Multisensory Processing of Human Speech Measured with msec and mm Resolution

以毫秒和毫米分辨率测量的人类语音的多感官处理

基本信息

项目摘要

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.
面对面的交流是人际交往中最重要的形式。交谈时,我们接受

项目成果

期刊论文数量(6)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Electrocorticography Reveals Enhanced Visual Cortex Responses to Visual Speech.
  • DOI:
    10.1093/cercor/bhu127
  • 发表时间:
    2015-11
  • 期刊:
  • 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
A Double Dissociation between Anterior and Posterior Superior Temporal Gyrus for Processing Audiovisual Speech Demonstrated by Electrocorticography.
  • DOI:
    10.1162/jocn_a_01110
  • 发表时间:
    2017-06
  • 期刊:
  • 影响因子:
    3.2
  • 作者:
    Ozker M;Schepers IM;Magnotti JF;Yoshor D;Beauchamp MS
  • 通讯作者:
    Beauchamp MS
Frontal cortex selects representations of the talker's mouth to aid in speech perception.
  • DOI:
    10.7554/elife.30387
  • 发表时间:
    2018-02-27
  • 期刊:
  • 影响因子:
    7.7
  • 作者:
    Ozker M;Yoshor D;Beauchamp MS
  • 通讯作者:
    Beauchamp MS
Electrical Stimulation of Visual Cortex: Relevance for the Development of Visual Cortical Prosthetics.
  • DOI:
    10.1146/annurev-vision-111815-114525
  • 发表时间:
    2017-09-15
  • 期刊:
  • 影响因子:
    6
  • 作者:
    Bosking WH;Beauchamp MS;Yoshor D
  • 通讯作者:
    Yoshor D
Converging Evidence From Electrocorticography and BOLD fMRI for a Sharp Functional Boundary in Superior Temporal Gyrus Related to Multisensory Speech Processing.
  • DOI:
    10.3389/fnhum.2018.00141
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    2.9
  • 作者:
    Ozker M;Yoshor D;Beauchamp MS
  • 通讯作者:
    Beauchamp MS
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Sameer Anil Sheth其他文献

Sameer Anil Sheth的其他文献

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{{ truncateString('Sameer Anil Sheth', 18)}}的其他基金

Mapping Algorithmic State Space in the Human Brain
映射人脑中的算法状态空间
  • 批准号:
    10199622
  • 财政年份:
    2021
  • 资助金额:
    --
  • 项目类别:
Mapping Algorithmic State Space in the Human Brain
映射人脑中的算法状态空间
  • 批准号:
    10613535
  • 财政年份:
    2021
  • 资助金额:
    --
  • 项目类别:
Mapping Algorithmic State Space in the Human Brain
映射人脑中的算法状态空间
  • 批准号:
    10406990
  • 财政年份:
    2021
  • 资助金额:
    --
  • 项目类别:
Mechanisms of Rapid, Flexible Cognitive Control in Human Prefrontal Cortex
人类前额叶皮层快速、灵活的认知控制机制
  • 批准号:
    9792299
  • 财政年份:
    2018
  • 资助金额:
    --
  • 项目类别:
Cognitive control mechanisms in human prefrontal cortex
人类前额叶皮层的认知控制机制
  • 批准号:
    9245738
  • 财政年份:
    2016
  • 资助金额:
    --
  • 项目类别:
Multisensory Processing of Human Speech Measured with msec and mm Resolution
以毫秒和毫米分辨率测量的人类语音的多感官处理
  • 批准号:
    10304159
  • 财政年份:
    2015
  • 资助金额:
    --
  • 项目类别:
Baylor Research Education Program in Neurosurgery
贝勒神经外科研究教育计划
  • 批准号:
    10224345
  • 财政年份:
    2010
  • 资助金额:
    --
  • 项目类别:
Baylor Research Education Program in Neurosurgery
贝勒神经外科研究教育计划
  • 批准号:
    10413175
  • 财政年份:
    2010
  • 资助金额:
    --
  • 项目类别:
Baylor Research Education Program in Neurosurgery
贝勒神经外科研究教育计划
  • 批准号:
    10677037
  • 财政年份:
    2010
  • 资助金额:
    --
  • 项目类别:
Assessing neurovascular coupling with functional mapping
通过功能映射评估神经血管耦合
  • 批准号:
    6585227
  • 财政年份:
    2002
  • 资助金额:
    --
  • 项目类别:
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