Experimental and simulation studies of localization and decoding of single and double dipoles

Objective. Electroencephalography is a technique for measuring normal or abnormal neuronal activity in the human brain, but its low spatial resolution makes it difficult to locate the precise locations of neurons due to the volume conduction effect of brain tissue. Approach. The acoustoelectric (AE) effect has the advantage of detecting electrical signals with high temporal resolution and focused ultrasound with high spatial resolution. In this paper, we use dipoles to simulate real single and double neurons, and further investigate the localization and decoding of single and double dipoles based on AE effects from numerical simulations, brain tissue phantom experiments, and fresh porcine brain tissue experiments. Main results. The results show that the localization error of a single dipole is less than 0.3 mm, the decoding signal is highly correlated with the source signal, and the decoding accuracy is greater than 0.94; the location of double dipoles with an interval of 0.4 mm or more can be localized, the localization error tends to increase as the interval of dipoles decreases, and the decoding accuracy tends to decrease as the frequency of dipoles decreases. Significance. This study localizes and decodes dipole signals with high accuracy, and provides a technical method for the development of EEG.

Automated summary

This study utilizes the acoustoelectric effect to localize and decode dipole signals with high accuracy. The results show that a single dipole can be localized with an error of less than 0.3 mm, and the decoding accuracy is higher than 0.94. Double dipoles with an interval of 0.4 mm or more can also be localized, but the localization error increases as the interval decreases, and the decoding accuracy decreases as the frequency of dipoles decreases.