Abstract
MEG based on optically-pumped magnetometry (OP-MEG) operates with miniaturized, wearable insulation, in contrast to massive cryogenic dewars for SQUID-MEG, and allows placement of the sensors close to the scalp. This allows more natural head motion during data recording and localized signal quality comparable to, or surpassing, SQUID-MEG. However no OP-MEG system to date has offered full-head coverage with dense sensor packing, and existing systems - as with SQUID-MEG - require the subject to be sealed in a multilayer, passively-shielded vault in order to suppress ambient magnetic fields. Here we present Kernel Flux, which overcomes these limitations. Kernel Flux uses a collection of alkali vapor sensors in a unique array architecture to directly detect the magnetic fields generated by collective neural activity in the brain, while allowing for comfortable head motion. Each Kernel Flux OP-MEG system was designed from the ground up to work as an integrated system optimized around the user's experience, with relevance to natural home and office contexts.
Original language | English (US) |
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Title of host publication | Optical and Quantum Sensing and Precision Metrology |
Editors | Selim M. Shahriar, Jacob Scheuer |
Publisher | SPIE |
ISBN (Electronic) | 9781510642355 |
DOIs | |
State | Published - 2021 |
Externally published | Yes |
Event | Optical and Quantum Sensing and Precision Metrology 2021 - Virtual, Online, United States Duration: Mar 6 2021 → Mar 11 2021 |
Publication series
Name | Proceedings of SPIE - The International Society for Optical Engineering |
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Volume | 11700 |
ISSN (Print) | 0277-786X |
ISSN (Electronic) | 1996-756X |
Conference
Conference | Optical and Quantum Sensing and Precision Metrology 2021 |
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Country/Territory | United States |
City | Virtual, Online |
Period | 3/6/21 → 3/11/21 |
Keywords
- Kernel
- Kernel Flux
- MEG
- OP-MEG
- OPM
- alkali vapor cell
- functional brain imaging
- magnetoencephalography
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering