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Donā€™t scan so close to me

±«ÓćÖ±²„ researcher scans Stingā€™s musical brain
Published: 15 August 2016

What does the 1960s Beatles hit ā€œGirlā€ have in common with Astor Piazzollaā€™s evocative tango composition ā€œLibertangoā€?

Probably not much, to the casual listener. But in the mind of one famously eclectic singer-songwriter, the two songs are highly similar. Thatā€™s one of the surprising findings of an unusual neuroscience study based on brain scans of the musician Sting.

The paper, published in the journal Neurocase, uses recently developed imaging-analysis techniques to provide a window into the mind of a masterful musician. It also represents an approach that could offer insights into how gifted individuals find connections between seemingly disparate thoughts or sounds, in fields ranging from arts to politics or science.

ā€œThese state-of the-art techniques really allowed us to make maps of how Stingā€™s brain organizes music,ā€ says lead author Daniel Levitin, a cognitive psychologist at ±«ÓćÖ±²„. ā€œThatā€™s important because at the heart of great musicianship is the ability to manipulate in oneā€™s mind rich representations of the desired soundscape.ā€

Lab tour with a twist

The research stemmed from a serendipitous encounter several years ago. Sting had read Levitinā€™s book This Is Your Brain on Music and was coming to Montreal to play a concert. His representatives contacted Levitin and asked if he might take a tour of the lab at ±«ÓćÖ±²„. Levitin -- whose lab has hosted visits from many popular musicians over the years ā€“ readily agreed. And he added a unique twist: ā€œI asked if he also wanted to have his brain scanned. He said ā€˜yesā€™.ā€

So it was that ±«ÓćÖ±²„ students in the Stewart Biology Building one day found themselves sharing an elevator with the former lead singer of The Police, who has won 16 Grammy Awards, including one in 1982 for the hit single ā€œDonā€™t Stand So Close To Me.ā€

Both functional and structural scans were conducted in a single session at the brain imaging unit of ±«ÓćÖ±²„ā€™s Montreal Neurological Institute, the hot afternoon before a Police concert. A power outage knocked the entire campus off-line for several hours, threatening to cancel the experiment. Because it takes over an hour to reboot the fMRI machine, time grew short. Sting generously agreed to skip his soundcheck .

Levitin then teamed up with Scott Grafton, a leading brain-scan expert at the , to use two novel techniques to analyze the scans. The techniques, known as multivoxel pattern analysis and representational dissimilarity analysis, showed which songs Sting found similar to one another and which ones are dissimilar ā€“ based not on tests or questionnaires, but on activations of brain regions.

"At the heart of these methods is the ability to test if patterns of brain activity are more alike for two similar styles of music compared to different styles. This approach has never before been considered in brain imaging experiments of music,ā€ notes Scott Grafton.

Unexpected connections

ā€œStingā€™s brain scan pointed us to several connections between pieces of music that I know well but had never seen as related before,ā€ Levitin says. Piazzollaā€™s ā€œLibertangoā€ and the Beatlesā€™ ā€œGirlā€ proved to be two of the most similar. Both are in minor keys and include similar melodic motifs, the paper reveals. Another example: Stingā€™s own ā€œMoon over Bourbon Streetā€ and Booker T. and the MGā€™s ā€œGreen Onions,ā€ both of which are in the key of F minor, have the same tempo (132 beats per minute) and a swing rhythm.

The methods introduced in this paper, Levitin says, ā€œcan be used to study all sorts of things: how athletes organize their thoughts about body movements; how writers organize their thoughts about characters; how painters think about color, form and space.ā€

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PHOTO: Owen Egan

This research was supported by the NaturalĢżSciences and Engineering Research Council of Canada.

ā€œMeasuring the representational space of music with fMRI: a case study with Sting,ā€ Daniel J. Levitin and Scott T. Grafton, Neurocase, published online Aug. 12, 2016.

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