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This is your brain on Vivaldi and Beatles

Date:
August 7, 2013
Source:
Suomen Akatemia (Academy of Finland)
Summary:
Listening to music activates large networks in the brain, but different kinds of music are processed differently. A team of researchers has developed a new method for studying music processing in the brain during a realistic listening situation. Using a combination of brain imaging and computer modeling, they found areas in the auditory, motor, and limbic regions to be activated during free listening to music.

Using a combination of brain imaging and computer modeling, researchers found areas in the auditory, motor, and limbic regions to be activated during free listening to music.
Credit: Image courtesy of Suomen Akatemia (Academy of Finland)

Listening to music activates large networks in the brain, but different kinds of music are processed differently. A team of researchers from Finland, Denmark and the UK has developed a new method for studying music processing in the brain during a realistic listening situation. Using a combination of brain imaging and computer modeling, they found areas in the auditory, motor, and limbic regions to be activated during free listening to music. They were furthermore able to pinpoint differences in the processing between vocal and instrumental music.

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The new method helps us to understand better the complex brain dynamics of brain networks and the processing of lyrics in music. The study was published in the journal NeuroImage.

Using functional magnetic resonance imaging (fMRI), the research team, led by Dr. Vinoo Alluri from the University of Jyväskylä, Finland, recorded the brain responses of individuals while they were listening to music from different genres, including pieces by Antonio Vivaldi, Miles Davis, Booker T. & the M.G.'s, The Shadows, Astor Piazzolla, and The Beatles. Following this, they analyzed the musical content of the pieces using sophisticated computer algorithms to extract musical features related to timbre, rhythm and tonality. Using a novel cross-validation method, they subsequently located activated brain areas that were common across the different musical stimuli.

The study revealed that activations in several areas in the brain belonging to the auditory, limbic, and motor regions were activated by all musical pieces. Notable, areas in the medial orbitofrontal region and the anterior cingulate cortex, which are relevant for self-referential appraisal and aesthetic judgments, were found to be activated during the listening. A further interesting finding was that vocal and instrumental music were processed differently. In particular, the presence of lyrics was found to shift the processing of musical features towards the right auditory cortex, which suggests a left-hemispheric dominance in the processing of the lyrics. This result is in line with previous research, but now for the first time observed during continuous listening to music.

"The new method provides a powerful means to predict brain responses to music, speech, and soundscapes across a variety of contexts," says Dr. Vinoo Alluri.


Story Source:

The above story is based on materials provided by Suomen Akatemia (Academy of Finland). Note: Materials may be edited for content and length.


Journal Reference:

  1. Vinoo Alluri, Petri Toiviainen, Torben E. Lund, Mikkel Wallentin, Peter Vuust, Asoke K. Nandi, Tapani Ristaniemi, Elvira Brattico. From Vivaldi to Beatles and back: Predicting lateralized brain responses to music. NeuroImage, 2013; 83: 627 DOI: 10.1016/j.neuroimage.2013.06.064

Cite This Page:

Suomen Akatemia (Academy of Finland). "This is your brain on Vivaldi and Beatles." ScienceDaily. ScienceDaily, 7 August 2013. <www.sciencedaily.com/releases/2013/08/130807094348.htm>.
Suomen Akatemia (Academy of Finland). (2013, August 7). This is your brain on Vivaldi and Beatles. ScienceDaily. Retrieved January 28, 2015 from www.sciencedaily.com/releases/2013/08/130807094348.htm
Suomen Akatemia (Academy of Finland). "This is your brain on Vivaldi and Beatles." ScienceDaily. www.sciencedaily.com/releases/2013/08/130807094348.htm (accessed January 28, 2015).

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