SBIR/STTR Research Award

Pediatric Head Models for Improved Imaging of Neurological Development

Award identifier 3d3226fcf2ebee3df6ba3d8e4cad1dc27b59f754677f258d2a48252c9767958bAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$1,678,616

Program and phase

SBIR · Phase II

Award year

2014

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
Electrical Geodesics, Inc.
Proposal award date
2014-09-23
Contract end date
2018-07-31
UEI
GA2MMT1QL2B3
Solicitation number
PA11-134
Topic code
101

Research abstract

DESCRIPTION provided by applicant While it is well known that the brain undergoes rapid developmental changes from birth to early childhood remarkably little is understood about the relationship between changes in brain size and composition and cognitive development Yet several potentially debilitating neurocognitive disorders are a consequence of delays or abnormalities in brain development and childhood epilepsy has been shown to be associated with an increased risk of learning disabilities attention deficit hyperactivity disorder and depression These associations make it imperative that we gain a better understanding of the relationship between cognitive and anatomical development In children the study of cognitive and brain developmental trajectories are best accomplished using non invasive techniques that are not overly restrictive of movement and do not require ionizing radiation Of available techniques electroencephalography EEG particularly with the advent of high density sensor arrays provides the ability to assess cognitive function safely and non invasively Our central goal is to develop age specific pediatric head models to improve current source localization imaging in pediatric populations under the hypothesis that functional localization of cognitively important brain regions and networks requires an accurate model of head tissue geometry and conductivity This Phase project will build on work accomplished in phase to create age clusters that differ significantly in measures of brain and skull development For each cluster we will build and test head models that are accurate both in morphological features and in regional differences in tissue conductivity which plays a critical role in the ability to accurately reconstuct brain network activity from EEG signals Once age specific average head models have been developed and tested we will validate their improved accuracy based on neurophysiological data using EEG and functional magnetic resonance imaging methods in children from infancy to young adulthood This project will result in the public release of a set of innovative age specific head models together with newly developed software from our project website www pedeheadmod net In addition the project will provide a novel commercial product Child Geosource R which will allow source localization studies without the otherwise limiting need for CT or MR scanning for accurate head models PUBLIC HEALTH RELEVANCE This project will result in commercialization of a novel product for use in non invasive neuroimaging in children This product Child Geosource R will create age group head models for children from infancy to young adulthood providing clinicians and researchers with a tool for optimal use of non invasive high density EEG in localizing seizure activity and elucidating the developmental trajectories of neural networks underlying cognitive function in normal children as well as those at risk for psychiatric disorders

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

47 SBIR/STTR records share this UEI (1993–2016). Reported award amounts total $20,863,801. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Health and Human Services, Department of Defense

Agency intelligence

Department of Health and Human Services

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