A5029378698- Neuroscience and Music Perception
- Language Development and Disorders
- Music and Audio Processing
- Reading and Literacy Development
- Voice and Speech Disorders
- Diverse Music Education Insights
- Neural dynamics and brain function
- Children's Physical and Motor Development
- Music Technology and Sound Studies
- Infant Health and Development
- Tracheal and airway disorders
Vanderbilt University Medical Center
2020-2024
A growing number of studies have shown a connection between rhythmic processing and language skill. It has been proposed that domain-general rhythm abilities might help children to tap into the speech (prosody), cueing them prosodic markers grammatical (syntactic) information during acquisition, thus underlying observed correlations language. Working memory processes common task demands for musical discrimination spoken paradigms are another possible source individual variance in abilities....
Abstract Uncovering the genetic underpinnings of musical ability and engagement is a foundational step for exploring their wide‐ranging associations with cognition, health, neurodevelopment. Prior studies have focused on using twin family designs, demonstrating moderate heritability phenotypes. The current study used genome‐wide complex trait analysis polygenic score (PGS) approaches utilizing genotype data to examine influences two musicality traits (rhythmic perception music engagement) in...
Impaired musical rhythm abilities and developmental speech-language related disorders are biologically clinically intertwined. Prior work examining their relationship has primarily used small samples; here, we studied associations at population-scale by conducting the largest systematic epidemiological investigation to date (total N = 39,092). Based on existing theoretical frameworks, predicted that impairment would be a significant risk factor for in general adult population. Findings were...
Recently reported links between rhythm and grammar processing have opened new perspectives for using in clinical interventions children with developmental language disorder (DLD). Previous research the rhythmic priming paradigm has shown improved performance on tasks after regular primes compared to control conditions. However, this been limited effects of grammaticality judgments. The current study investigated whether could also benefit sentence repetition, a task requiring proficiency...
Purpose Data mining algorithms using electronic health records (EHRs) are useful in large-scale population-wide studies to classify etiology and comorbidities (Casey et al., 2016). Here, we apply this approach developmental language disorder (DLD), a prevalent communication whose risk factors epidemiology remain largely undiscovered. Method We first created reliable system for manually identifying DLD EHRs based on speech-language pathologist (SLP) diagnostic expertise. then developed...
In the presence of temporally organized stimuli, there is a tendency to entrain beat, even at neurological level. Previous research has shown that when adults listen rhythmic stimuli and are asked imagine their neural responses same as beat physically accented. The current study explores processing simple structures where accented or inferred from previously presented structure in passive listening context. We further explore associations these correlates with behavioral self-reported...
Informal music experiences and engagement (e.g., parent-child singing activities) are common in infancy early childhood. However, the specific role of home environment fostering infants’ development is underspecified. Recent theories empirical evidence demonstrate shared biology between language processing, as well overlapping acoustic characteristics speech song. Emerging yet limited work has established positive links environments their later receptive vocabulary development. Here, we...
Purpose: Data mining algorithms using electronic health records (EHRs) are useful in large-scale population-wide studies to classify etiology and comorbidities (Casey et al., 2016). Here, we apply this approach developmental language disorder (DLD), a prevalent communication whose risk factors epidemiology remain largely undiscovered.Method: We first created reliable system for manually identifying DLD EHRs based on speech-language pathologist (SLP) diagnostic expertise. then developed...