# Ultrasound-modulated EEG: new decoding algorithm tested on 10 volunteers, 0.79 mm resolution

- Published: 2026-11-05 23:15 UTC
- Section: Life & Health › Neurotechnology
- Tags: ultrasound-modulated EEG, USMEEG, decoding algorithm, acoustoelectric modulation ratio, focused ultrasound phased array, steady-state visual evoked potentials, noninvasive brain-computer interface, pulse repetition frequency, spatial resolution 0.79 mm
- URL: https://realtech.media/news/rt-023ecdc95648b257f53997d2_ultrasound_modulated_eeg/

**A decoding method for ultrasound-modulated EEG kept correlations of 0.84–0.90 across weak to over modulation in simulations, phantoms and 10 volunteers.**

![Ultrasound-modulated EEG: new decoding algorithm tested on 10 volunteers, 0.79 mm resolution](https://sgzwpqqelzmajkcubgkl.supabase.co/storage/v1/object/public/rt-media/2026/11/a1bdaf98665c442a.jpg)
*Chris Hope, Wikimedia Commons, CC BY 2.0*

Researchers described a decoding algorithm for ultrasound-modulated electroencephalography (USMEEG) in Science Advances. The method is based on the ultrasound pulse repetition frequency. It was tested in numerical simulations, in phantoms and on human steady-state visual evoked potential signals from 10 volunteers [1]. The focused ultrasound phased array achieved an encoding spatial resolution of 0.79 millimeters [1].

USMEEG combines millimeter-level spatial resolution with millisecond-level temporal resolution. According to the authors, in extremely complex scenarios acoustoelectric signal coupling that is too strong or too weak severely distorts the decoded signals [1]. To describe such cases, they introduced the acoustoelectric modulation ratio (AMR), which quantifies different modulation scenarios [1].

The algorithm was compared with four traditional methods and, the authors report, significantly outperformed them. Average decoding correlations were 0.84 under weak modulation (0 < AMR ≤ 0.6), 0.90 under moderate modulation (0.6 < AMR ≤ 1) and 0.89 under over modulation (AMR > 1) [1]. The authors state that the technique expands USMEEG applications and provides a technical foundation for high-performance noninvasive brain-computer interfaces [1].

## Sources

1. [Science Advances](https://doi.org/10.1126/sciadv.aei1954)

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Source: RealTech, realtech.media — https://realtech.media/news/rt-023ecdc95648b257f53997d2_ultrasound_modulated_eeg/