Uncovering the genetic underpinnings of musical ability and engagement is a foundational step for exploring their wide‐ranging associations with cognition, health, and neurodevelopment. Prior studies have focused on using twin and family designs, demonstrating moderate heritability of musical phenotypes. The current study used genome‐wide complex trait analysis and polygenic score (PGS) approaches utilizing genotype data to examine genetic influences on two musicality traits (rhythmic perception and music engagement) in
- NSF-PAR ID:
- 10333232
- Date Published:
- Journal Name:
- Proceedings of the Conference on Cognitive Computational Neuroscience
- Page Range / eLocation ID:
- 324-327
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Prosody perception is fundamental to spoken language communication as it supports comprehension, pragmatics, morphosyntactic parsing of speech streams, and phonological awareness. A particular aspect of prosody: perceptual sensitivity to speech rhythm patterns in words (i.e., lexical stress sensitivity), is also a robust predictor of reading skills, though it has received much less attention than phonological awareness in the literature. Given the importance of prosody and reading in educational outcomes, reliable and valid tools are needed to conduct large-scale health and genetic investigations of individual differences in prosody, as groundwork for investigating the biological underpinnings of the relationship between prosody and reading. Motivated by this need, we present the Test of Prosody via Syllable Emphasis (“TOPsy”) and highlight its merits as a phenotyping tool to measure lexical stress sensitivity in as little as 10 min, in scalable internet-based cohorts. In this 28-item speech rhythm perception test [modeled after the stress identification test from Wade-Woolley (2016) ], participants listen to multi-syllabic spoken words and are asked to identify lexical stress patterns. Psychometric analyses in a large internet-based sample shows excellent reliability, and predictive validity for self-reported difficulties with speech-language, reading, and musical beat synchronization. Further, items loaded onto two distinct factors corresponding to initially stressed vs. non-initially stressed words. These results are consistent with previous reports that speech rhythm perception abilities correlate with musical rhythm sensitivity and speech-language/reading skills, and are implicated in reading disorders (e.g., dyslexia). We conclude that TOPsy can serve as a useful tool for studying prosodic perception at large scales in a variety of different settings, and importantly can act as a validated brief phenotype for future investigations of the genetic architecture of prosodic perception, and its relationship to educational outcomes.more » « less
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Abstract Previous work suggests that auditory–vestibular interactions, which emerge during bodily movement to music, can influence the perception of musical rhythm. In a seminal study on the ontogeny of musical rhythm, Phillips‐Silver and Trainor (2005) found that bouncing infants to an unaccented rhythm influenced infants’ perceptual preferences for accented rhythms that matched the rate of bouncing. In the current study, we ask whether nascent, diffuse coupling between auditory and motor systems is sufficient to bootstrap short‐term Hebbian plasticity in the auditory system and explain infants’ preferences for accented rhythms thought to arise from auditory–vestibular interactions. First, we specify a nonlinear, dynamical system in which two oscillatory neural networks, representing developmentally nascent auditory and motor systems, interact through weak, non‐specific coupling. The auditory network was equipped with short‐term Hebbian plasticity, allowing the auditory network to tune its intrinsic resonant properties. Next, we simulate the effect of vestibular input (e.g., infant bouncing) on infants’ perceptual preferences for accented rhythms. We found that simultaneous auditory–vestibular training shaped the model's response to musical rhythm, enhancing vestibular‐related frequencies in auditory‐network activity. Moreover, simultaneous auditory–vestibular training, relative to auditory‐ or vestibular‐only training, facilitated short‐term auditory plasticity in the model, producing stronger oscillator connections in the auditory network. Finally, when tested on a musical rhythm, models which received simultaneous auditory–vestibular training, but not models that received auditory‐ or vestibular‐only training, resonated strongly at frequencies related to their “bouncing,” a finding qualitatively similar to infants’ preferences for accented rhythms that matched the rate of infant bouncing.
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