ePoster

Magnetic detection electrical impedance tomography (MDEIT) for non-invasive neural imaging

Kai Mason, Florencia Mauriño Alperovich, Kirill Aristovich, David Holder
FENS Forum 2024(2024)
Messe Wien Exhibition & Congress Center, Vienna, Austria

Conference

FENS Forum 2024

Messe Wien Exhibition & Congress Center, Vienna, Austria

Resources

Authors & Affiliations

Kai Mason, Florencia Mauriño Alperovich, Kirill Aristovich, David Holder

Abstract

Introduction. There exists no method for non-invasive imaging of neural activity throughout the brain with a millisecond and millimetre resolution. EIT can theoretically achieve this by injecting a constant current with surface electrodes, measuring the voltage change associated with neural depolarization and reconstructing images of the activity. However, EIT with scalp electrodes was unsuccessful in vivo. MDEIT could improve image quality by measuring the magnetic field which is not attenuated by the skull. Aims. Image simulated neural activity in the human brain using MDEIT and EIT with scalp electrodes and compare the image quality of EIT and MDEIT to determine the superior technique. Methods. Simulations were performed with a realistic human head model comprising seven tissues at three noise levels in the cortex, cingulate gyrus, thalamus and pons. Images were compared by visual inspection and the weighted spatial variance (WSV) of the images. Results. MDEIT images had a lower WSV error than EIT with a mean difference of 7.0%, 5.5% and 11% for three noise cases: (1) measured noise, (2) reduced current source noise (3) reduced current source and magnetometer noise (Figure 1) [1]. Conclusions. Three-dimensional fast neural MDEIT is feasible and superior to EIT. Ongoing work includes imaging of realistic phantoms using MDEIT and measurement of the MDEIT signal in vivo in humans.Figure 1: Example reconstructions for one perturbation.[1] Mason, K., Aristovich, K., & Holder, D. (2023). Non-invasive imaging of neural activity with magnetic detection electrical impedance tomography (MDEIT): a modelling study. Physiological Measurement, 44(11), 114003.

Unique ID: fens-24/magnetic-detection-electrical-impedance-4e39b2ed