Music in the brain: the musical multi-feature studies by Peter Vuust
http://www.en.auh.dk/files/Hospital/AUH/English/Departments/Center%20of%20Functionally%20Integrative%20Neuroscience%20(CFIN)/The%20musical%20multi-feature%20studies.pdf
2. Summary
In
Peter Vuust’s ‘The
musical multi-feature studies’, he mentioned that the study of how musicians’
brains evolve through daily training has recently emerged as an effective way
of gaining insight into changes of the human brain during development and
training. Mismatch negativity (MMN) studies have consistently revealed neural
differences in early sound processing between people with different musical
backgrounds. And he throws a question, “Can the MMN paradigms be adapted to
resemble a musical context while keeping the experimental duration contained,
and will they reveal differences in sound-related brain activity among
different types of musicians?”
For his experiment, he made two changes to classic MMN-paradigm:
1. Emulating harmonic progressions found in real music by using the Alberti
bass with underlying a harmonic scheme of major and minor chords. 2. Embedding
more than one type of sound with alternating pitches. Through using this musical
multi-feature paradigm, he could test for differences between musicians playing
different styles of Western music, specifically between classical, jazz and
pop/rock musicians.
Regarding the listening experience, there are differences in
relation to how musicians are taught and learned. For example, for Jazz
musicians, they typically learn and perform music by using the ear and they are
taught by ear training programme at Jazz school, in contrast, Classic musicians
are less focused on learning by the ear. (Suzuki method teaches music by ear in
the early years of childhood)
He applied the new fast musical multi-feature MMN paradigm with
classical musicians, jazz musicians, band musicians and non-musicians with 6
types of acoustic changes: pitch, mistuning, intensity, timbre, sound-source location,
and rhythm in the same sound sequence for 15 minutes. They obtained larger
overall MMN amplitude in Jazz musicians as compared with all other types of
musicians across six different sound features. This indicates a greater overall
sensitivity to sound changes in Jazz musicians as compared to others.
Especially, sliding to tones is a typical feature in improvisational music such
as Jazz music as opposed to Classical music. When interpreting these results,
it should be kept in mind that jazz musicians score higher in musical aptitude
tests than rock musicians and non-musicians, especially with regards to tonal
abilities.
He points out few interesting implications and applications of
this study. First, the MMNs obtained in relation to the auditory deviants in
our musical multi-feature paradigm shows that it is possible to develop highly
controlled brain measuring paradigms which still resembles “real” music. “We
may be able to track brain measures (MMN) involved in survival-related
attentional processing during ‘real’ music listening, and thereby study other
important aspects of music.” Secondly, this paradigm provides an ecological
method of comparing MMNs in musicians from different musical genres and this is
important because musical complexity, in many instances, is crucial in order to
detect fine-grained auditory processing differences between participants from
various musical backgrounds. Lastly, it may find usage in clinical studies,
where it may be used to identify the cognitive limitations related to musical
processing.
3. Reflections
I was very thrilled to know about the concept and purpose of
Mismatch negativity (MMN) and it was interesting to see the differences in
sound-related brain activity among different types of musicians. I was
surprised that Jazz musicians scored higher in musical aptitude and obtained
larger overall MMN amplitude than others since I expected Classic musicians
would score higher than others. Vuust mentioned, “Jazz music in its modern form
is characterized by complex chord changes, rich harmonies and challenging
rhythmic structures such as polyrhythms that place great
demands on listeners’ and performers’ theoretical and ear training skills”, as
if classic musicians are not trained as much. I do not agree fully with his
point because there are many classic musicians who have very well-trained ear
and improvisation skills. Furthermore, we can see all of complex chord changes,
rich harmonies and challenging rhythmic structure in many classic pieces since
baroque to contemporary music. Also, for Rock musicians, there are many musicians
who can improvise and composed very well as much as Jazz musicians. Of course,
the result of this study would be varied depending on who they chose but I am
just wondering if all musicians have same level of musical skills.
Moreover, since this study is first to show differences in
pre-attentive brain responses between musicians, it would be very interesting
to see “multi-attribute ‘profiles’ of sound-discrimination abilities in single
individuals” in further study if they can refine ERP method at the individual
level like what they mentioned. Also, I strongly agree and support the idea
that it may be helpful to those who have cognitive limitations related to
musical processing.
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