How Many Music Centers Are in the Brain?
Reference
Annals of the New York Academy of Sciences
Volume 930, THE BIOLOGICAL FOUNDATIONS OF MUSIC pages
273–280, June 2001
Summary
This article discussed the modularity of music functions and
complexities of this topic as a result of individual neurological variables in
music processing.
Traditionally it was believed there was a simple left-right
hemisphere division of music and language function: music processed on the right, language on the left.
However, Bever and Chiarello’s [1] work in 1974 revealed the
hemispheric lateralization of music processing as a result of music
training. This finding has since
been supported through various studies.
The author investigated brain activation patterns of
non-musicians, amateurs, and professional musicians while processing harmonic
and melodic discrimination tasks.
Results of this study indicated that while non-musicians and amateurs
processed these tasks bilaterally in the frontal lobes and the right temporal
lobe, the musicians processed them primarily in the left frontotemporal lobe. It is believed that musicians activate
the left hemisphere due to “inner speech” when listening to and analyzing
music. For example, they may
automatically name intervals or harmonic elements when listening. The author concluded that music
processing areas are more determined by “the way of listening or processing”
rather than “fixed music centers”.
Various studies have brought forth evidence of music
modularity, often based on isolated music functions affected by brain
lesion. Evidence suggests time
components of music are primarily processed in the left temporal lobe and pitch
processed more in the right.
The author noted that discussion of modularity of
music processing increases in complexity when it is acknowledged that music
processing can take place on various hierarchical levels. For example, time components may be
identified as meter or rhythm. Studies following brain lesion have demonstrated isolated neural
networks to process meter or rhythm.
The challenge remains for science to delineate the brain
anatomy with these potential music -processing areas. In considering this, the authored noted yet another
difficulty. In a recent study [2]
of individuals who had experienced small unilateral ischemic lesions of the
temporal, parietal, or frontal lobe, had a range of impairments in auditory
perception. Also, a group of
individuals who had a left hemispheric stroke demonstrated a range of
disassociated impairments including rhythm, meter, interval, or contour
regardless of whether the lesion was anterior or posterior to the central sulcus. The author noted that this
indicates “widespread and individually developed neural networks” involved in
music processing. As a result, the
author created a study to explore these individual factors.
In order to explore this, he created a study to determine if
the way someone learned music would influence neural processing when they
listened to music. If the
learning style influenced the neural process of listening, this could provide
further insight into the individualized processing networks.
Three groups of 13-15 years olds were created for the
study. One group learned music
with traditional instruction (declarative group). A second group was engaged in musical experiences, such as
singing or playing, as they were taught (procedural group). The third group was the control group
and did not receive any musical instruction.
Instruction lasted for 5 weeks. Following this period, EEG measurements were taken while the
students listened to music. The
results revealed that the declarative group had increased activation of the
left frontotemporal lobes. The
procedural group had increased activation in the right frontal and bilateral
parieto-occipital lobes. These
results confirm that music training influences brain activation patterns.
The author noted "brain substrates of music processing reflect
the auditory learning “biography”, the personal experiences accumulated over
time". These experiences may include
listening to music, learning to play an instrument, or being a professional
musician. The various musical
representations while processing music also appear to be partly interchangeable
and adaptable. That is not to say that there is no hemispheric specialization, or that there are not specific areas responsive to specific musical
elements. The point is that there
is individualization of processing, due in part to the “biography” of the
listener.
It was also noted that increased complexity of processing
requirements results in increased complexity of neural network responses. This may explain the more extensive
neural network response of musicians than of non-musicians when listening to music as they are
listening for, and recognizing, more aspects of the music.
The author concluded with recognition of the scope of the challenge of learning and understanding the modularity of music including the affects of the
influence of personal biographies on the individualization of some aspects of
music processing, and the ongoing plastic and adaptive responses of the brain.
Reflections
The individualization of certain aspects of neural processing
of music seems, in some ways, to be a double- edged sword. It makes the concept and application of
modularity of music processing more complex, but at the same time it
confirms individualized, plastic
responses to a musical stimulus.
This individualized, plastic response is encouraging news for
professionals using music-based interventions to address cognitive impairments
following acquired brain injury.
We can attribute specific function to specific brain area, and we know
that the brain is plastic and able to adapt at some level following
trauma. This is foundational in
rehabilitation science. This
article’s study on the plastic changes and differences in neural response of students
as a result of (simply) a teaching style highlighted again the incredible
potential of the brain to change.
It reminds one of the potential for change following consistent,
experience-based stimulation in rehabilitative interventions. The
extensiveness of neural networks for music processing also demonstrates music’s
efficacy as a multi-site neural stimulus, especially following trauma to the
brain.
In addition to the concepts discussed in the article, I appreciated the author’s description of music, stating
that it is not “a mere acoustic structure in time, or a stimulus created in a
laboratory to fit a well-controlled experimental design, but a phenomenon of
subjective human experience”. He continues that it is not “based on a
uniform mental capacity but on a complex set of perceptive and cognitive
operations…” This to me, acknowledges not only
the complexity of music itself, but also the potential range of human response to
it. These are important
factors to remember when studying music and the brain, its stimulus, its
impact, and its therapeutic potential.
References:
1.
Bever, T.G. & R.I. Chiarello. 1974. Cerebral
dominance in musicians and non-musicians. Science. 185:537-540.
2.
Schuppert, M., T.F.Munte, B.M. Wieringa, et al.
2000. Receptive amusia: evidence for cross-hemispheric neural networks
underlying music processing strategies.
Brain 123: 546-559.
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