This article was published in Scientific American’s former blog network and reflects the views of the author, not necessarily those of Scientific American
Just about everyone appreciates music, but music that results from a creative implementation of sound can be especially compelling. Human beings are inventive creatures who discover a myriad of ways to innovate in the musical realm. This video preview of Landfill Harmonic, a documentary shot in a slum in Paraguay shows that people can find ways to make music even in less-than-ideal conditions.
While kids in Paraguay are making music out of garbage, researchers in China are making music out of brain activity. Back in 2009, the authors of "Scale-Free Brain-Wave Music from Simultaneously EEG and fMRI Recordings" used electroencephalography or EEG as a basis for the composition of music. EEG involves measuring the brain's electrical activity through the scalp via a cap that looks like this:
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Recording from the brain in this manner results in waveforms that represent the electrical activity of distinct groups of neurons in the cortex. The authors used the period of the EEG waveform to represent the duration of a musical note, the amplitude of the waveform to represent the pitch of the note, and the average power change of the waveform to represent the volume (intensity) of the music. The group was able to produce music from EEG brain recordings by following this formula. However, the music that resulted from this analysis rapidly changed in volume which made for suboptimal listening. In order to solve this problem, the researchers added recordings from functional brain imaging, or fMRI, to control the volume instead of using the EEG waveform power change. By recording from the brain using simultaneous EEG and fMRI, the researchers correlated the volume of their brain-derived compositions to the BOLD signal of the fMRI. The result of using fMRI as a volume control was music with less erratic shifts in volume than the solely EEG-derived music.
Take a listen to the results below.
