This Phase I project will focus on developing key elements needed to achieve a wearable, high-density, magnetoencephalography (MEG) device based on optically-pumped atomic magnetometers (OPMs). OPM sensors have progressed to be comparable in sensitivity to liquid-helium-cooled superconducting sensors (SQUIDs) but without the complexity and bulk required by cryogenic cooling. An OPM-based MEG provides further advantages such as lower cost and the ability to place sensors directly on the subject?s head. It has recently been shown that large, non-invasive ?on-scalp? arrays of OPMs (1) will outperform traditional fixed helmet MEG devices by a factor of 7.5 higher signal, and (2) may reach the same resolution as invasive Electrocorticography (ECoG). However, there are a few advancements that must be made to evolve from the proof-of-concept systems of a few tens of sensors to a practical full head MEG system capable of producing high resolution images. In this project will address challenges like cross-talk between sensors, background field compensation, and sensor calibration and localization. We believe these innovations are necessary for a fully-integrated, wearable, high-density, and on-scalp MEG device using ultra-sensitive OPMs.

Public Health Relevance

MEG is a powerful tool in neuroscience for non-invasive imaging of neurophysiological activity of the cortex with millisecond temporal and sub-centimeter spatial resolution. We propose to develop key elements relating to optically-pumped atomic magnetometer (OPM) technology and believe these innovations are necessary for developing a fully-integrated, wearable, high-density, on-scalp MEG device using compact and highly-sensitive OPMs. Moving this technology beyond the laboratory to the larger community of neuroscientist and clinicians as a turnkey high-density system will have a significant impact in the field of biomagnetic research and diagnostics.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Small Business Innovation Research Grants (SBIR) - Phase I (R43)
Project #
3R43MH118154-01A1S1
Application #
9986967
Study Section
Program Officer
Grabb, Margaret C
Project Start
2019-09-01
Project End
2020-06-06
Budget Start
2019-11-08
Budget End
2020-06-06
Support Year
1
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Fieldline, Inc.
Department
Type
DUNS #
080995606
City
Lafayette
State
CO
Country
United States
Zip Code
80026