Neural substrates of optimal multisensory integration
Neural substrates of optimal multisensory integration
批准号:
10735194
负责人:
Michael S Beauchamp
金额:
$58.19万
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
未结题
起止时间:
2010-02-01 至 2028-06-30
关键词:
AcousticsAdultAmericanAnatomyAreaAuditoryAuditory PerceptionBehavioralBrainBrain InjuriesCalibrationCommunicationCommunication impairmentComplementComputer ModelsComputer softwareCrowdingDataDevelopmentEducational process of instructingElectroencephalographyEpilepsyExposure toFaceFrequenciesFunctional Magnetic Resonance ImagingFutureGoalsHealthHearingHumanIllusionsImpairmentImplanted ElectrodesIndividualIntractable EpilepsyJudgmentKnowledgeLanguage DisordersLearningMasksMeasuresMedicalModalityModelingModificationNeuronsNeurosciencesParticipantPatientsPatternPerceptionPersonal SatisfactionPersonsPhasePopulationPublishingRecordsResearchRoleSensorySignal TransductionSolidSpeechSpeech PerceptionStimulusStrokeStructure of superior temporal sulcusTechniquesTestingTimeVideoconferencingVisualVoiceaudiovisual speechauditory stimulusbehavior measurementbehavioral studyexperienceexperimental studyfascinatehearing impairmentimprovedinstrumentlensmultisensoryneuralneural correlateneuromechanismpandemic diseaseresponsesensory inputsensory integrationsocialspeech processingtemporal measurementtheoriestoolvisual informationvisual speech
中文摘要
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英文摘要
Project Summary
When communicating face-to-face, humans receive information in two sensory modalities: visual information
from the face of the talker; and auditory information from the voice of the talker. The pandemic has brought
into sharp focus the importance of audiovisual speech: mask wearing obscures the talker's face while muffling
the voice, a double whammy that hinders communication. The popularity of video conferencing software
attests to the importance placed by people on seeing a talker's face as well as hearing their voice. Although
audiovisual speech perception is very important, we know little about the neural mechanisms for this uniquely
human ability. We will remedy this gap in knowledge using most powerful techniques in human neuroscience:
computational modeling; behavioral studies; ultra-high-field (7 tesla) functional MRI (fMRI); and the
examination of epilepsy patients who have electrodes implanted in their brain for the treatment of medically
intractable epilepsy, a technique referred to as intracranial electroencephalography (iEEG). The anatomical
focus of the proposal is the posterior superior temporal sulcus/gyrus (STS/G), known since the time of
Wernicke to be important for speech perception. The behavioral focus of our proposal is the new discovery that
a classic audiovisual speech illusion, known as the McGurk effect, can produce dramatic, long-lasting changes
in auditory-only speech perception, turning a ba into a da. This phenomenon, termed fusion-induced
recalibration (FIR), provides a tool to advance computational and neural studies of speech perception. The first
aim will develop computational models of speech perception and test against behavioral data. Different models
will be fit to speech perception data before, during and after exposure to the McGurk effect. Fitted models will
be compared using held-out behavioral data. Because the models instantiate different theoretical constructs,
model comparison will determine which explanatory constructs are essential. These results will provide a solid
theoretical grounding for future studies, including those in Aims 2 and 3: searching for a neural correlate of an
unjustified construct is likely to be fruitless. The second aim will examine speech perceptin through the lens of
patterns of activity in STS/G measured with 7 tesla fMRI. We expect to observe reliable changes in STS/G
response patterns before and after exposure to the McGurk effect, reflecting modification of speech
representations (in contrast, in cortical areas driven solely by acoustic features, McGurk exposure should not
change fMRI response patterns.) The third aim will use iEEG to record broadband high-frequency activity
(BHA) from small populations of STS/G neurons with high temporal resolution. Responses to the auditory-
only component of the McGurk speech (but not control speech) are predicted to show sustained decreases after
successive blocks of audiovisual McGurk exposure, in lockstep with the perceptual development of FIR.
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DOI:
10.1016/j.neuroimage.2023.120271
发表时间:
2023-09
期刊:
NEUROIMAGE
影响因子:
5.7
作者:
[Zhang, Yue, Rennig, Johannes, Magnotti, John F., Beauchamp, Michael S.]
通讯作者:
Beauchamp, Michael S.
DOI:
10.1016/j.tics.2015.07.002
发表时间:
2015-09
期刊:
Trends in cognitive sciences
影响因子:
19.9
作者:
[Beauchamp MS]
通讯作者:
Beauchamp MS
DOI:
10.3758/s13423-014-0722-2
发表时间:
2015-06
期刊:
Psychonomic bulletin & review
影响因子:
3.5
作者:
[Magnotti JF, Beauchamp MS]
通讯作者:
Beauchamp MS
DOI:
10.1093/cercor/bhs166
发表时间:
2013-07
期刊:
Cerebral cortex
影响因子:
3.7
作者:
[T. Ro;T. Ellmore;M. Beauchamp]
通讯作者:
T. Ro;T. Ellmore;M. Beauchamp
Erratum to: Similar frequency of the McGurk effect in large samples of native Mandarin Chinese and American English speakers.
勘误:麦格克效应在中国普通话和美国英语母语人士的大样本中出现的频率相似。
DOI:
10.1007/s00221-016-4634-4
发表时间:
2016
期刊:
Experimental brain research
影响因子:
2
作者:
[Magnotti,JohnF, Mallick,DebshilaBasu, Feng,Guo, Zhou,Bin, Zhou,Wen, Beauchamp,MichaelS]
通讯作者:
Beauchamp,MichaelS
共 14 条
Dynamic Neural Mechanisms of Audiovisual Speech Perception
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批准号:10405731
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项目类别:
-
资助金额:$111.3万
-
财政年份:2019
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负责人:Michael S Beauchamp
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依托单位:
Dynamic Neural Mechanisms of Audiovisual Speech Perception
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批准号:10459624
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项目类别:
-
资助金额:$107.4万
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财政年份:2019
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负责人:Michael S Beauchamp
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依托单位:
Dynamic Neural Mechanisms of Audiovisual Speech Perception
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批准号:10676997
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项目类别:
-
资助金额:$107.4万
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财政年份:2019
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负责人:Michael S Beauchamp
-
依托单位:
Dynamic Neural Mechanisms of Audiovisual Speech Perception
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批准号:10016852
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项目类别:
-
资助金额:$106.17万
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财政年份:2019
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负责人:Michael S Beauchamp
-
依托单位:
RAVE: A New Open Software Tool for Analysis and Visualization of Electrocorticography Data
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批准号:9766391
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项目类别:
-
资助金额:$23.66万
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财政年份:2018
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负责人:Michael S Beauchamp
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依托单位:
NEURAL SUBSTRATES OF OPTIMAL MULTISENSORY INTEGRATION
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批准号:9197698
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项目类别:
-
资助金额:$34.67万
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财政年份:2016
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负责人:Michael S Beauchamp
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依托单位:
NEURAL SUBSTRATES OF OPTIMAL MULTISENSORY INTEGRATION
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批准号:9055439
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项目类别:
-
资助金额:$34.67万
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财政年份:2016
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负责人:Michael S Beauchamp
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依托单位:
Neural Mechanisms of Optimal Multisensory Integration
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批准号:8018453
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项目类别:
-
资助金额:$28.83万
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财政年份:2010
-
负责人:Michael S Beauchamp
-
依托单位:
Neural Mechanisms of Optimal Multisensory Integration
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批准号:7895476
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项目类别:
-
资助金额:$29.42万
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财政年份:2010
-
负责人:Michael S Beauchamp
-
依托单位:
Neural Mechanisms of Optimal Multisensory Integration
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批准号:8416984
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项目类别:
-
资助金额:$27.81万
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财政年份:2010
-
负责人:Michael S Beauchamp
-
依托单位:
Neural Mechanisms of Optimal Multisensory Integration
-
批准号:8212199
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项目类别:
-
资助金额:$28.82万
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财政年份:2010
-
负责人:Michael S Beauchamp
-
依托单位:
海外基金