How different are the differences? A commentary on the paper “Beat-based dancing to music has evolutionary foundations in vocal learning”
(2024) 25:61
Penhune BMC Neuroscience
https://doi.org/10.1186/s12868-024-00850-7
BMC Neuroscience
Open Access
COMMENT
How different are the differences?
A commentary on the paper “Beat‑based
dancing to music has evolutionary foundations
in vocal learning”
Virginia B. Penhune1,2*
Abstract
We propose that while examining homologies and convergences in auditory-motor synchronization
between humans and non-human animals is informative, examining differences in behaviour and brain mechanisms
can help to better define the boundaries of the phenomena.
There are few researchers in the domain of music neuroscience who have exerted such a strong and deeply reasoned theoretical influence on central issues in our field.
For this reason, it is a pleasure to read Ani Patel’s new
paper and to have the opportunity to comment on it. In
this paper, Patel extends his ideas about the link between
vocal learning and beat synchronization in non-human
animals to the domain of dance. His previous experimental work has provided evidence that some vocal-learning
birds show partial abilities to synchronize and flexibly
move the beat of human music [1, 2]. In parallel, other
labs have shown that non-human primates can also be
trained to synchronize to a beat from visual stimuli [3].
Based on these findings, Patel has proposed that this type
of partial synchronization in birds and in non-human primates may be a precursor of the broader human ability to
This comment refers to the article available online at https://doi.org/10.1186/
s12868-024-00843-6.
*Correspondence:
Virginia B. Penhune
1
Laboratory for Motor Learning and Neural Plasticity, Department
of Psychology, Concordia University, Montréal, QC, Canada
2
Montréal Laboratory for Brain, Music and Sound (BRAMS), Montréal, QC,
Canada
move to music [4]. Further, he speculates that avian synchronization is based on gene-regulation changes in the
dorsal auditory-motor circuits that control vocalization
[5]. In the current paper, he puts forward the idea that
these adaptations in the vocal-motor control system fortuitously spread to optimize control of the motor system
more generally, specifically via enhanced auditory-parietal connectivity. He hypothesizes that these adaptations
are present in some primates, and especially in humans,
which is what allows us to synchronize a wide range of
movements to complex auditory sequences such as those
found in music and dance.
The search for animal-human behavioural homologies
and converging brain mechanisms is a powerful source
of hypotheses about possible evolutionary and neurophysiological changes that might underlie the development of specific behaviours. In the current paper, Patel
sets out several testable hypotheses based on his ideas.
First, he proposes that in humans, individual differences in beat synchronization ability should be related
to individual differences in the white matter connections
between auditory, parietal and premotor regions. Some
evidence for this hypothesis comes from work showing
that individual differences in the connections between
auditory and premotor regions are related to the ability
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Penhune BMC Neuroscience
(2024) 25:61
to synchronize speech to a stream of syllables [6]. In the
domain of music, learning to reproduce rhythms, and
tapping and continuation to a beat have been linked to
white matter microstructure in the arcuate fasciculus [7,
8]. Second, he suggests that parietal to premotor connections should be enhanced in humans compared to
primates. Information about differences in the auditoryparietal-prefrontal connections between humans and
primates is available from the comparative neuroanatomical work of Michael Petrides [9] who suggests that differential connectivity with high-order frontal motor regions
and enhanced development of frontal processing are
key contributors to language and other cognitive development in humans [10]. In a recent study, connectivity
between inferior parietal cortex and premotor regions
was found to be related to second-language learning [11].
In particular, connections with more superior premotor regions were related to improvements in vocabulary,
and connections with more inferior regions were related
to improvements in rate of articulation. Patel also raises
several other interesting directions for future research,
including examining the role of parietal cortex in beat
processing and developmental studies of synchronization
abilities in children.
Examining homologies between humans and nonhuman animals has been demonstrated to be informative
in many domains of cognitive neuroscience. However,
differences in behaviour and brain mechanisms are likely
to be equally important and have the potential to help
us better define the boundaries of the phenomena to be
explored. In this current adaptation of the vocal-learning
hypothesis, a central tenet is that synchronization to the
beat is a key point of convergence between human and
animal responses to music, and in turn, auditory-motor
synchronization is considered a core feature of human
dance. Let us consider these points. When viewed with
human eyes, Snowball the parrot makes a variety of convincingly dance-like movements in response to music
[2]. This kind of synchronized movement is a highly salient feature of many forms of human dance; but it seems
likely that dance and non-instrumental vocal music
vastly predate most of the familiar musics that we call to
mind when making this comparison. It seems potentially
equally likely that regular, sound-producing movement
is a precursor to music, rather than an outcome of it, a
point that has been made previously by Steven Brown
[12].
Further, even vocal-learning birds who exhibit partial synchronization to human music do not appear to
synchronize to other stimuli in the wild, or to synchronize to music without at least passive feedback from
their human partners. Maca (...truncated)