We propose to develop a small, fully-integrated, ultra-sensitive, commercial magnetometer that will merge the multi-use and cost-effective attributes of present EEG electrodes with the sensitivity of SQUID sensors. Our device, referred to as a magnetrode, will combine reliable autonomous operation with straightforward multi-channel integration for a robust MEG system capable of high-resolution localization and millisecond-scale timing. The magnetrode electronics and firmware will provide all the automation services necessary for turn-key operation and easy integration into multi-channel systems.

Public Health Relevance

Magnetoencephalography (MEG) is perhaps the most promising of the functional imaging techniques neurodevelopment studies and diagnostics of mental illnesses. The goal of this project is to develop an MEG system based on atomic magnetrodes that are equally suited for adult 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
National Institute of Mental Health (NIMH)
Type
Small Business Innovation Research Grants (SBIR) - Phase II (R44)
Project #
5R44MH110288-02
Application #
9247250
Study Section
Special Emphasis Panel (ZRG1-ETTN-C (10)B)
Program Officer
Grabb, Margaret C
Project Start
2016-04-01
Project End
2018-03-31
Budget Start
2017-04-01
Budget End
2018-03-31
Support Year
2
Fiscal Year
2017
Total Cost
$721,712
Indirect Cost
Name
Quspin
Department
Type
Domestic for-Profits
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