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Remixed Brain Waves Reveal Soundtrack Of The Human Brain

Simultaneous EEG and of human brains used to create free-form music

Scientists have combined and translated two kinds of brain wave recordings into music, transforming one (EEG) to create the pitch and duration of a note, and the other (fMRI) to control the intensity of the music. The research, published November 14 in the open access journal PLoS ONE by and colleagues from the University of Electronic Science and Technology, China, reveals an improved method to reflect the physiological processes of the scale-free brain in music.

Previous research published in PLoS ONE by the same group has described how and waveforms may be converted to music. In the past, researchers at the Department of Homeland Security’s Science and Technology Directorate have also explored the possibility of a form of neuro-training called ‘’, which uses music created from an individual’s to help the individual move from an anxious state to a relaxed state.

This new study uses simultaneous EEG and fMRI recordings to better represent the activity of the brain in musical notes. According to the researchers, this brain music “embodies the workings of the brain as art, providing a platform for scientists and artists to work together to better understand the links between music and the human brain.”

The authors also suggest that combining EEG and fMRI data may produce music that better reflects the functional activity of the brain, potentially leading to improvements useful for clinical diagnosis or biofeedback therapy in the future.


“Scale-Free Brain-Wave Music from Simultaneously EEG and fMRI Recordings”, Lu J, Wu D, Yang H, Luo C, Li C, et al. (2012)
PLoS ONE7(11): e49773. doi:10.1371/journal.pone.0049773

Financial Disclosure: The authors acknowledge the following funding supports: the 863 projects 2012AA011601, 2012BAI16B02, the Natural Science Foundations of China No. 90820301, 60835005, 81201159, 60736029 and the ‘111’ project (B12027). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Competing Interest Statement: The authors have declared that no competing interests exist.