Tapping into the vocal learning and rhythmic synchronization hypothesis
Theofanopoulou BMC Neuroscience
(2024) 25:63
https://doi.org/10.1186/s12868-024-00863-2
BMC Neuroscience
Open Access
CO M M E N T
Tapping into the vocal learning and rhythmic
synchronization hypothesis
Constantina Theofanopoulou1,2,3*
Abstract
In this article, I present three main points that could benefit the “vocal learning and rhythmic synchronization
hypothesis”, encompassing neurogenetic mechanisms of gene expression transmission and single motor neuron
function, classification of different behavioral motor phenotypes (e.g., spontaneous vs. voluntary), and other
evolutionary considerations (i.e., the involvement of reward mechanisms).
Keywords Vocal learning, Rhythmic synchronization, Rhythm entrainment, Beat synchronization, Language, Speech,
Dance
The “vocal learning and rhythmic synchronization
hypothesis” (VLRSH) [1], formulated by Ani Patel, aims
to explain how the evolution of advanced vocal learning
in humans and parrots may have resulted in their ability
to synchronize nonvocal movements to a rhythmic beat. I
believe this hypothesis provides one of the most promising avenues for linking the evolution of two core components (i.e., vocal learning and rhythmic synchronization)
that are necessary for complex sensorimotor behaviors
such as speech, song, and dance. Earlier versions of this
hypothesis [2, 3] have been influential in shaping my
research agenda, where I currently focus on studying the
brain pathways involved in speech and dance production
and learning in humans. In this version of the VLRSH
[1], Patel delves deeper into the neurobiological mechanisms, proposing that the evolution of a strong integration between auditory regions and vocal dorsal premotor
This comment refers to the article available online at https://doi.
org/10.1186/s12868-024-00843-6.
*Correspondence:
Constantina Theofanopoulou
1
Rockefeller University, New York, NY, USA
2
Center for Ballet and the Arts, New York University, New York, NY, USA
3
Drexel University, Philadelphia, PA, USA
regions in ancestral humans (via the laryngeal pitch control pathway) involved gene regulation changes which
fortuitously enhanced the strength of neural connections
between auditory and nonvocal dorsal premotor regions
near the vocal dorsal premotor regions.
Ani Patel has invested significant effort in synthesizing
existing literature to construct a hypothesis that is both
robust and testable. While acknowledging the solidity
of Patel’s work that has uniquely inspired my research,
I identify areas within the hypothesis that merit further
refinement and exploration. In this commentary, I intend
to address three specific points derived from Patel’s
hypothesis. Firstly, I will dig into the neural mechanisms
and suggest an alternative or complementary scenario
for the gene regulation changes in neighboring brain
regions that, according to Patel [1], could have led to the
enhancement of the brain pathways needed for rhythmic synchronization. Secondly, I advocate for a more
profound understanding of what constitutes “voluntary”,
“involuntary”, “reflexive” or “spontaneous” movements,
whether vocal or nonvocal, as a beneficial addition to the
hypothesis. Thirdly, I will present my perspective on an
additional parameter that Patel suggests could have contributed to the human and parrot ability to dance: their
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Theofanopoulou BMC Neuroscience
(2024) 25:63
“craving for social interaction and a strong sensitivity to
social reward [4]”.
Adjacent and/or overlapping motor circuits for
vocal learning and rhythm synchronization
One of the fundamental tenets of the VLRSH is the
notion that gene regulation changes in specific neurons,
particularly those engaged in the integration between
auditory and vocal dorsal premotor regions, triggered
alterations in the gene regulation of adjacent or nearby
neurons involved in the integration between auditory and
nonvocal dorsal premotor regions. However, the mechanistic details of how neurons can directly impact the gene
expression of neighboring neurons remain unclear. While
certain mechanisms exist, such as neurotransmitter signaling influencing the electrical activity of the receiving
neuron, the release of neurotrophic factors from one
neuron to another, or activity-dependent plasticity, none
of these mechanisms explain the proposed “infection”
of gene expression to adjacent neurons posited by the
VLRSH.
While formulating my working hypothesis for studying in tandem the speech and dance brain pathways
in humans, I was able to find only limited instances of
research demonstrating the feasibility of gene expression transmission from one neuron to another. For
instance, experiments involving Xenopus tectal neurons
revealed that overexpressing Candidate Plasticity Gene
15 (CPG15) not only enhanced dendritic outgrowth and
synapse maturation in the directly overexpressed neurons but also influenced these characteristics in adjacent
neurons, potentially through intercellular interactions
[5, 6]. Another set of experiments in transgenic animal
models of neurodegenerative diseases also identified the
“spread” of gene expression properties in neighboring
neurons [7]: in these models, the accumulation of Tau
in neurons expressing a transgene resulted in tau aggregates developing in adjacent neurons lacking the transgene but receiving projections from transgene-expressing
neurons, possibly through a trans-synaptic prion-like
mechanism [7]. Additionally, in neuropathic pain mouse
models, experimental injury to a set of neurons in the
dorsal root ganglion led to differential gene regulation
in the injured neurons also affecting gene regulation in
nearby intact neurons, possibly through the activation of
intracellular second messenger systems inducing immediate early genes (IEGs) controlling expression changes
in other genes [8]. While these studies offer insights into
potential mechanisms for studying the VLRSH, (...truncated)