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Spherical harmonic based noise rejection and neuronal sampling with multi-axis OPMs.

Tim M Tierney¹, Stephanie Mellor¹, George C O'Neill¹

¹Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, 12 Queen Square, London WC1N 3AR, UK.

|May 31, 2022

Summary

This summary is machine-generated.

Triaxial Optically Pumped Magnetometers (OPMs) offer superior environmental noise rejection and efficient spatial sampling for brain activity. This multi-axis OPM configuration minimizes cost and crosstalk while maximizing signal detection.

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Area of Science:

Biophysics
Neuroimaging
Sensor Technology

Background:

Optically Pumped Magnetometers (OPMs) are increasingly used for magnetoencephalography.
Understanding the spatial sampling and interference rejection capabilities of OPM arrays is crucial for accurate brain activity mapping.

Purpose of the Study:

To evaluate the interference rejection and spatial sampling properties of multi-axis OPM data.
To quantify the ability of OPM arrays to separate neuronal signals from environmental interference and adequately sample cortical activity.

Main Methods:

Analysis using vector spherical harmonics and eigenspectra.
Quantification of noise rejection and spatial sampling for triaxial OPM configurations.

Main Results:

Triaxial OPMs demonstrate excellent noise rejection, accounting for high-order interference (L=6) with minimal neural signal attenuation (2dB for 60 sensors).
Modeling neural space requires at least 11th-order irregular solid harmonics or 95 lead field eigenvectors for OPM data.
Adequate spatial sampling can be achieved with 75-100 triaxial sensors (225-300 channels) or 200 radial channels.

Conclusions:

Multi-axis OPM configurations, particularly triaxial, provide significant advantages in external noise rejection compared to radial-only systems.
Triaxial OPMs offer potential benefits in minimizing cost, weight, and cross-talk while enhancing signal quality.
Optimizing sensor configuration is key for efficient and accurate neuroimaging with OPMs.