Multimodal Data Analysis and Integration
Multimodal Data Analysis and Integration
批准号:
10639548
负责人:
Ting Xu
金额:
$32.15万
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
未结题
起止时间:
2017-04-15 至 2028-03-31
关键词:
AddressAnatomyBiological ModelsBrainCognitiveComputer ModelsDataData AnalysesDiffusionDimensionsElectrodesElectroencephalographyEnsureEventFrequenciesFunctional Magnetic Resonance ImagingGoalsHumanImageIndividualJointsLinkMacacaMagnetic Resonance ImagingMapsMeasurementMethodsModalityModelingMonkeysNeurobiologyOutputPhysiologicalPropertyPupilReproducibilityRestRoleSignal TransductionSurfaceT2 weighted imagingTestingWorkdata integrationdesigndistributed datadynamic systemfunctional magnetic resonance imaging/electroencephalographyhuman dataimprovedinter-individual variationmoviemultimodal datamultimodalityneural circuitneural modelnonhuman primatespatiotemporal
中文摘要
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英文摘要
ABSTRACT: This Conte Center proposal seeks to elucidate the role of slow brain network fluctuations
(SBNFs) across species and scales, and to establish computational models of neural circuit dynamics that
characterize SBNFs. Data collected in Projects 1-3 will span multiple modalities (EEG, fMRI, ECoG/LFP, and
single-unit recordings) and species (humans and nonhuman primates). The overarching goal of the Multimodal
Data Analysis & Integration Core (Core-B) is to address the challenge of integrating data across these multiple
modalities and analyses. To achieve this goal, Core-B will apply and develop multimodal alignment
frameworks that establish a common space for analysis across modalities, individuals, and species (to be used
in Projects 1-3), as well as integrate these data to facilitate computational modeling of neural dynamics (to be
used in Project 4). Aim 1 will leverage the functional alignment framework to construct a common space for
different modalities within- and between-subjects. Aim 2 will refine the cross-species alignment using the
functional data from the common tasks to provide the spatial transformation to link human data in Projects 1-2
and macaque data in Project 3. In addition to optimizing cross-modal and cross-species alignment, Aim 3 will
construct a framework for decomposing brain dynamics into spatiotemporal states and state-transitions derived
jointly from EEG, fMRI, and physiological signals. We will also leverage the cross-species transformation
between humans and macaques in Aim 2 to delineate the matched states across species and characterize the
species-specific temporal configurations. This framework will provide a state-space in which brain dynamics
and their causal properties can be interrogated across individuals and species. The alignment approach and
aligned data generated by this Core will be applied to the curated, quality-checked outputs received from Core
C after appropriate preprocessing (determined by domain experts from the individual Projects) and will be
distributed to Projects 1-4.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
An Alignment Framework For Mapping Brain Dynamics and Substrates of Human Cognition Across Species
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批准号:10360863
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项目类别:
-
资助金额:$121.07万
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财政年份:2021
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负责人:Ting Xu
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依托单位:
Micellar Nanocarriers with Controlled Multivalent Ligand Presentation
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批准号:8695347
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项目类别:
-
资助金额:$22.21万
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财政年份:2013
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负责人:Ting Xu
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依托单位:
Micellar Nanocarriers with Controlled Multivalent Ligand Presentation
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批准号:8583975
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项目类别:
-
资助金额:$18.46万
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财政年份:2013
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负责人:Ting Xu
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依托单位:
海外基金