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Spatial-jitter model for magnetoencephalography sensor arrays.

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    Spatial jitter in magnetoencephalography (MEG) sensor arrays introduces noise, degrading signal-to-noise ratio (SNR) and spatial resolution. On-scalp MEG sensors show greater resistance to spatial jitter than off-scalp sensors at high frequencies.

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    Area of Science:

    • Biophysics
    • Biomedical Engineering
    • Neuroscience

    Background:

    • Sampling jitter in signal acquisition introduces frequency-dependent noise, reducing signal-to-noise ratio (SNR).
    • Magnetoencephalography (MEG) uses sensor arrays to measure brain activity's magnetic fields, which are susceptible to spatial sampling errors.

    Purpose of the Study:

    • To generalize the concept of sampling jitter to spatial jitter in MEG sensor arrays.
    • To analyze the impact of spatial, orientation, and aperture jitter on MEG measurements.
    • To compare the jitter resistance of on-scalp versus off-scalp MEG sensor configurations.

    Main Methods:

    • Analysis of spatial jitter effects in the vector spherical harmonics domain.
    • Investigation of orientation jitter and aperture error impacts.
    • Simulation of spatial jitter using realistic optically pumped magnetometer (OPM) and superconducting quantum interference device (SQUID) sensor arrays.

    Main Results:

    • Spatial jitter in MEG sensor arrays causes spatial-frequency-dependent noise, reducing SNR and spatial resolution.
    • On-scalp MEG sensors are more resilient to high-frequency spatial and orientation jitter compared to off-scalp sensors.
    • On-scalp sensors are more susceptible to aperture errors, while off-scalp sensors are less affected.

    Conclusions:

    • Spatial jitter is a critical factor affecting MEG data quality, necessitating careful sensor placement and array design.
    • The choice between on-scalp and off-scalp MEG configurations involves a trade-off between resistance to different types of sensor noise.
    • Understanding and mitigating jitter effects are essential for improving spatial resolution and SNR in MEG neuroimaging.