Next generation Magnetoencephalography for human social neuroscience
Next generation Magnetoencephalography for human social neuroscience
批准号:
10224930
负责人:
STEPHEN M LACONTE
金额:
$58.22万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-08-01 至 2024-04-30
关键词:
3D PrintAddressBrainBrain DiseasesBrain imagingClinicalCognitionCognition DisordersComplexDataData AnalysesDependenceDetectionDevelopmentDissociationElectroencephalographyElectromagnetic FieldsEngineeringEnvironmentFaceFrequenciesFunctional Magnetic Resonance ImagingFutureGenerationsHelmetHumanImageImaging technologyIndustryInstitutionInterpersonal RelationsLeadLocationMagnetic Resonance ImagingMagnetismMagnetoencephalographyMeasurementMeasuresMental disordersMetalsModelingMotionMotorMovementNear-Infrared SpectroscopyNeurosciencesNoiseOpticsPerformancePersonsPhysical environmentPhysicsPlanet EarthPositioning AttributePositron-Emission TomographyPumpResearchScalp structureSignal TransductionSiteSocial EnvironmentSocial InteractionSourceStructureSystemTechnologyTimeValidationVirginiaWorkbasecostdesignexperimental studyflexibilityimprovedinnovationmagnetic fieldnervous system disorderneuroimagingnext generationquantum technologiesreconstructionrelating to nervous systemresearch and developmentsensorsensor technologysocialsocial cognitionsocial movementsocial neurosciencesuperconducting quantum interference devicetemporal measurementtool
中文摘要
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英文摘要
PROJECT SUMMARY
This proposal develops the next generation magnetoencephalography (MEG) for human social neuroscience by
combining the latest available technology in optically-pumped magnetometers (OPMs) and magnetically
shielded rooms (MSRs). Successful completion of the proposed research and development will enhance MEG's
ease of use to enable the first ever 2-person face-to-face MEG recordings of social interactions. Motivated by a
pressing need to improve the relevance of human neuroimaging - which includes upright, social movement -
scalp-based sensors represent the most promising set of technologies that are both available now and are also
expected to enjoy major improvements over the next several decades. While electroencephalography (EEG)
and functional near-infrared spectroscopy (fNIRS) are currently capable of such recordings, both suffer from
limitations that would be complimented or ameliorated by “untethered” MEG. Within this context, the research
objectives of this proposal are threefold. First, Aim 1 integrates the latest generation of OPM sensors and MSR
technology to deliver a next generation platform for OPM-MEG experiments. These data, then provide a positive
control to use this system for multi-person, movement tolerant neuroimaging in Aim 2. Finally, in Aim 3 we will
evaluate sensor mounting strategies and source reconstructions strategies that will avoid obscuring parts of the
face and could reduce cost and improve experimental ease. The work proposed will conducted by an assembled
team of the world's leading academic and industry experts in OPM-MEG, magnetic shielding, social
neuroimaging, and neuroimaging data analysis.
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会议论文
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