A high robustness decoding technique for ultrasound modulated electroencephalogram.

A robust USMEEG decoding algorithm using ultrasound pulse repetition frequency and AMR achieves 0.79 mm encoding spatial resolution with focused ultrasound phased arrays, validated on human steady-state visual evoked potentials.

• Why it matters: USMEEG decoding can be severely distorted when acoustoelectric signal coupling is too strong or too weak in complex scenarios. This work targets that robustness gap to enable reliable decoding.
• What they did: The approach quantifies modulation scenarios with an acoustoelectric modulation ratio (AMR) and decodes using ultrasound pulse repetition frequency. It was tested in numerical simulations, phantoms, and human data from 10 volunteers, and compared against four traditional methods.
• The result: Compared with four traditional methods, decoding precision was higher under weak modulation (0 1), with average decoding correlations of 0.84, 0.90, and 0.89. This supports more reliable high-performance noninvasive brain-computer interfaces using USMEEG.

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