The goal of this project is to develop a very low-cost, whole-head neonatal MEG system that can adapt to the shape and size of the head. Clinically, there is a longstanding need for a technology that can aid in the diagnosis and prognosis of babies with brain dysfunction due to intrauterine and postnatal central nervous system insults, which may result in mental retardation and neurodevelopmental disorders. The proposed system is completely non-invasive and is based on a recent breakthrough in atomic magnetometer technology that eliminates the majority of the costs and complexity associated with the use of superconducting sensors in traditional MEG systems. In the Phase I project, we identified and addressed all major technical risk elements, and successfully demonstrated the viability of our approach. In Phase II we will develop a whole-head MEG system for neonates and will demonstrate accurate source localization.

Public Health Relevance

MEG is perhaps the most promising of the functional imaging techniques that can be applied to neonatal and infant studies of neurodevelopment. The goal of this project is to develop an MEG system based on atomic magnetometers that is ideally suited for neonatal and infant subjects, and that costs less by almost an order of magnitude, compared to SQUID-based systems. We expect that successful execution of this project will encourage many more researchers and clinicians to adopt MEG technology, and may lead to important advances in our understanding of human brain development.

Agency
National Institute of Health (NIH)
Institute
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Type
Small Business Innovation Research Grants (SBIR) - Phase II (R44)
Project #
5R44HD074495-03
Application #
8791327
Study Section
Special Emphasis Panel (ZRG1-ETTN-A (10))
Program Officer
Kau, Alice S
Project Start
2012-09-21
Project End
2015-12-31
Budget Start
2015-01-01
Budget End
2015-12-31
Support Year
3
Fiscal Year
2015
Total Cost
$732,065
Indirect Cost
Name
Quspin
Department
Type
DUNS #
965475895
City
Louisville
State
CO
Country
United States
Zip Code
80027
Holmes, Niall; Leggett, James; Boto, Elena et al. (2018) A bi-planar coil system for nulling background magnetic fields in scalp mounted magnetoencephalography. Neuroimage 181:760-774
Boto, Elena; Holmes, Niall; Leggett, James et al. (2018) Moving magnetoencephalography towards real-world applications with a wearable system. Nature 555:657-661