Next-generation optical brain functional imaging platform
Next-generation optical brain functional imaging platform
批准号:
9789883
负责人:
Qianqian Fang
金额:
$42.5万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-21 至 2023-07-31
关键词:
3-DimensionalAddressAdultAlgorithmsAnatomyAtlasesAwarenessBase of the BrainBehavior DisordersBrainBrain imagingClinicalClinical ResearchCommunicationComplexComputer SimulationCouplingCraniocerebral TraumaData AnalysesDatabasesElectroencephalographyEnvironmentExhibitsFunctional ImagingFunctional Magnetic Resonance ImagingGoalsGoldHeadHumanImageImage AnalysisImaging TechniquesIntracranial HypertensionLightMeasuresMental DepressionMethodsModalityModelingMonitorMotorNear-Infrared SpectroscopyNeurosciences ResearchOpticsOutputPatternPerformancePlayPositioning AttributePositron-Emission TomographyProtocols documentationResearch PersonnelResolutionRestRoleRunningSchizophreniaSensorySleeplessnessSoftware ToolsSourceStimulusStructureSystemTechniquesThinnessTimeValidationVisionVisual impairmentWeightWireless Technologyanalysis pipelinebasecognitive processcohortcombatcontrast imagingcostdata acquisitiondensitydesigndetectordiffuse optical tomographyflexibilityflexible electronicshemodynamicshuman imagingimage processingimage reconstructionimaging modalityimaging platformimaging systemimprovedin vivo imaginginnovationlaboratory experimentlight weightnervous system disorderneuroimagingnext generationnon-invasive imagingoptical fiberoptical imagingportabilitypost strokepost-traumatic stressreconstructionresponsesensorspatiotemporalstroke patientstroke rehabilitationtomographyvolunteer
中文摘要
项目总结/文摘
英文摘要
Project Summary/Abstract
A more thorough understanding of human brain function has profound implications for advancing neuroscience
research and combatting neurological disease. Despite tremendous progress towards this goal through
contemporary neuroimaging techniques, a number of challenges remain unaddressed, such as a lack of safe
and non-invasive imaging modalities for continuous brain function assessments, limited spatiotemporal
resolution in in vivo imaging of human brain dynamics, and suboptimal accuracy due to improper consideration
of complex 3D brain anatomy. Moreover, human brain functions exhibit complex and hierarchical patterns
ranging from basic motor/sensory responses to advanced cognitive processes. Restricted by the poor
portability of fMRI, MEG, and PET, as well as the low spatial resolution in EEG, conventional neuroimaging
paradigms predominantly involve in-lab experiments with limited types of stimuli and interactions. This limited
exploration of brain functions hinders our progress in understanding the brain. As strongly echoed in the
BRAIN 2025 Scientific Vision, innovations in flexible, wearable and quantitative neuroimaging techniques that
impose minimal restrictions to the subject will enable studies of advanced brain dynamics that are only
apparent when measured in a natural environment.
In the past decade, an emerging neuroimaging technique – functional near-infrared spectroscopy (fNIRS)
– has shown great promise for safe and long-term monitoring of brain activity using low-power light. However,
most existing fNIRS systems require the use of a headgear attached to a cart-sized optical unit via numerous
and fragile optical fibers and output only topographic (instead of tomographic) images of limited spatial
resolution. These limitations greatly hinder fNIRS’s widespread use.
In this proposal, we aim to advance optical brain imaging to the next generation by developing a
wireless, ultra-portable, modular, and fiberless advanced optical brain imaging platform (AOBI). By using
innovative flexible-circuit based modular optical circuits, the proposed imaging system is light-weight,
wearable, and safe for long-term monitoring. Our specific aims are 1) develop full-head-conforming 3D-
aware optical brain imaging headgear using flex-circuit and reconfigurable optical modules, 2) develop high-
resolution optical brain image processing pipelines using prior-guided reconstruction algorithms, and 3)
run a small-scale clinical validation (N=15) to show proof-of-concept of monitoring post-stroke rehabilitation
using the proposed system. If successfully developed, the proposed AOBI imaging platform will deliver several
orders of magnitude reduction in cost and weight, 5 to 10-fold higher in imaging contrast, and 2-3 times
better in resolution compared to conventional fNIRS techniques. This new platform may play an important
role in monitoring post-stroke rehabilitation, assessing visual impairment, intracranial hypertension, insomnia,
depression, head injuries, and behavioral disorders such as schizophrenia, bipolar, and post-traumatic stress.
期刊论文(0)
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科研奖励(0)
会议论文
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海外基金