grant

Expanding Inclusion of All Subjects for Ultra-High Density Wearable fNIRS in the Everyday World

Organization BOSTON UNIVERSITY (CHARLES RIVER CAMPUS)Location BOSTON, UNITED STATESPosted 1 Sept 2024Deadline 31 Jul 2026
NIHUS FederalResearch GrantFY2025AddressArtifactsBehaviorBody TissuesBrainBrain Nervous SystemBrain imagingCell Communication and SignalingCell SignalingCharacteristicsCognitionCollaborationsCommunicationComplexDetectionEncephalonEnvironmentFailureFloorFunctional MRIFunctional Magnetic Resonance ImagingGrantHairHeadHumanImageIntracellular Communication and SignalingInvestigatorsLinkMeasurementMeasuresMiniaturisationsMiniaturizationModern ManMorphologic artifactsMovementNoisePerceptionPerformancePhasePhysiologic pulsePilot ProjectsPopulation HeterogeneityPsyche structurePulseResearch PersonnelResearchersResolutionSafetyScientistSi elementSignal TransductionSignal Transduction SystemsSignalingSiliconSkinSkin PigmentationSocial InteractionSourceStructureSystemTechnologyTestingTimeTissuesWorkWork LoadWorkloadbiological signal transductionbody movementbrain visualizationcognitive burdencognitive loadcommercializationcontrast imagingdensitydesigndesigningdetection platformdetection systemdetectordiverse populationsfMRIfNIRSfunctional near infrared spectroscopyheterogeneous populationhuman subjectimagingimprovedinsightmentalminiaturizeminiaturizedmultisensoryphotomultiplierpilot studypopulation diversityprototyperesolutionssocial communicationspatial navigationtoolusabilityway findingwayfindingwearablewearable devicewearable electronicswearable systemwearable technologywearable toolwearables
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Full Description

Abstract
There is a great need to enable scientists to link brain activity to human movement, perception

and cognition, and social communication and interaction continuously, in real time, and in

naturalistic settings. Such tools will provide profound new insights into not only how the healthy

brain works, but also when and why breakdowns occur in movement, perception/cognition, and

communication. While fMRI is providing greater understanding of how the brain functions in

restricted lab settings, we do not know how it works in dynamic, complex and multisensory real-

world environments. To push this important work forward, we are actively advancing high density

(HD) wearable functional Near Infrared Spectroscopy (fNIRS) systems to permit continuous

tracking of human brain function and behavior in real time to understand how a healthy brain

works and how and when failures in simple human actions occur. Here, we are addressing an old

and a new challenge in fNIRS measurements. The old challenge relates to improving the

sensitivity of fNIRS measurements to overcome the issues with hair characteristics and skin tone

that reduces the signal-to-noise ratio and compromises inclusion of all subjects in fNIRS studies.

The new challenge arises as the field develops wearable fNIRS systems and pushes for ultra-

high density (UHD) measurements with more overlapping channels to further improve spatial

resolution and sensitivity to achieve comparable performance in the cortex as compared to fMRI,

but making it challenging to maintain wearability. We will achieve a 5x improvement in detector

signal to noise ratio to benefit all subjects and increase LED peak powers to increase signal to

noise ratio up to 100x in subjects with the most attenuating hair and skin characteristics. We will

achieve another 10x improvement in image contrast to noise ratio afforded by the increased

numbers of overlapping measurements with UHD fNIRS versus HD fNIRS. We will also complete

a demonstrative study of our impact on enabling real-world studies of brain function inclusive of

diverse human subjects, by investigating the impact of mental workload on spatial navigation.

Grant Number: 5UG3EB036035-02
NIH Institute/Center: NIH

Principal Investigator: David Boas

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