Age- and sex-related variations in vocal-tract morphology and voice acoustics during adolescence

Markova, Diana; Richer, Louis; Pangelinan, Melissa M.; Schwartz, Deborah; Leonard, Gabriel; Perron, Michel; Pike, G. Bruce; Veillette, Suzanne; Chakravarty, M. Mallar; Pausová, Zdenka; Paus, Tomáš

doi:10.1016/j.yhbeh.2016.03.001

Cited by 55 publications

(31 citation statements)

References 47 publications

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“…Minimum, maximum and the standard deviation of F 0 showed similarly salient decreases at these ages (table 3). These drastic drops in voice pitch parameters are likely to reflect the effects of pubertal androgens on vocal fold lengthening and dynamics [3,5]. Puberty typically begins between age 9 and 14 in British boys and spans approximately 2 years [39], wherein ‘voice breaking’ (an acute drop in F 0/voice pitch) occurs in the final stages of puberty [4].…”

Section: Discussionmentioning

confidence: 99%

“…A large body of research demonstrates that voice pitch affects judgements of attractiveness, masculinity, dominance, competence, likeability and trustworthiness, and even impacts political and economic decision-making [45]. Moreover, listeners attribute such traits not only to adults [1] but also to adolescents [5] and even to babies with high- or low-pitched voices [30]. Given that a child's voice pitch hints at the voice pitch he will have as an adult, this attribution of voice-based social labels may begin very early in life, and remain consistent throughout a person's lifetime.…”

Section: Discussionmentioning

confidence: 99%

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Seven and up: individual differences in male voice fundamental frequency emerge before puberty and remain stable throughout adulthood

et al. 2016

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Voice pitch (the perceptual correlate of fundamental frequency, F0) varies considerably even among individuals of the same sex and age, communicating a host of socially and evolutionarily relevant information. However, due to the almost exclusive utilization of cross-sectional designs in previous studies, it remains unknown whether these individual differences in voice pitch emerge before, during or after sexual maturation, and whether voice pitch remains stable into adulthood. Here, we measured the F0 parameters of men who were recorded once every 7 years from age 7 to 56 as they participated in the British television documentary Up Series. Linear mixed models revealed significant effects of age on all F0 parameters, wherein F0 mean, minimum, maximum and the standard deviation of F0 showed sharp pubertal decreases between age 7 and 21, yet remained remarkably stable after age 28. Critically, men's pre-pubertal F0 at age 7 strongly predicted their F0 at every subsequent adult age, explaining up to 64% of the variance in post-pubertal F0. This finding suggests that between-individual differences in voice pitch that are known to play an important role in men's reproductive success are in fact largely determined by age 7, and may therefore be linked to prenatal and/or pre-pubertal androgen exposure.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Seven and up: individual differences in male voice fundamental frequency emerge before puberty and remain stable throughout adulthood

et al. 2016

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“…Behavior monitoring technologies have the potential to help infer internal states of participants during assessments 36 . Voice analysis stands out as particularly promising, given its increasing application in psychiatry (e.g., to assess mood and anxiety 37 ), in neurology (e.g., to assess motor function in populations such as those affected by Parkinson’s disease 38 ) and in developmental studies (e.g., to assess pubertal stage 39 ). The ease with which one can record audio samples in a controlled setting is particularly appealing.…”

Section: Methodsmentioning

confidence: 99%

An open resource for transdiagnostic research in pediatric mental health and learning disorders

Alexander¹,

Escalera²,

Ai³

et al. 2017

Sci Data

484

359

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“…Behavior monitoring technologies have the potential to help infer internal states of participants during assessments 32 . Voice analysis stands out as particularly promising, given its increasing application in psychiatry (e.g., to assess mood and anxiety 33 ), in neurology (e.g., to assess motor function in populations such as those affected by Parkinson's disease 34 ) and in developmental studies (e.g., to assess pubertal stage 35 ). The ease with which one can record audio samples in a controlled setting is particularly appealing.…”

Section: Voice and Video Recording And Actigraphy Data Collectionmentioning

confidence: 99%

An open resource for transdiagnostic research in pediatric mental health and learning disorders

Alexander

Escalera

et al. 2017

Preprint

130

203

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Technological and methodological innovations are equipping researchers with unprecedented capabilities for detecting and characterizing pathologic processes in the developing human brain. As a result, ambitions to achieve clinically useful tools to assist in the diagnosis and management of mental health and learning disorders are gaining momentum. To this end, it is critical to accrue large-scale multimodal datasets that capture a broad range of commonly encountered clinical psychopathology. The Child Mind Institute has launched the Healthy Brain Network (HBN), an ongoing initiative focused on creating and sharing a biobank of data from 10,000 New York area participants (ages 5-21). The HBN Biobank houses data about psychiatric, behavioral, cognitive, and lifestyle phenotypes, as well as multimodal brain imaging (resting and naturalistic viewing fMRI, diffusion MRI, morphometric MRI), electroencephalography, eye-tracking, voice and video recordings, genetics, and actigraphy. Here, we present the rationale, design and implementation of HBN protocols. We describe the first data release (n = 664) and the potential of the biobank to advance related areas (e.g., biophysical modeling, voice analysis).. CC-BY-ND 4.0 International license peer-reviewed) is the author/funder. It is made available under aThe copyright holder for this preprint (which was not . http://dx.doi.org/10.1101/149369 doi: bioRxiv preprint first posted online Jun. 13, 2017; PURPOSE OF DATA COLLECTIONPsychiatric and learning disorders are among the most common and debilitating illnesses across the lifespan. Epidemiologic studies indicate that 75% of all diagnosable psychiatric disorders begin prior to age 241 . This underscores the need for increased focus on studies of the developing brain 2 . Beyond improving our understanding of the pathophysiology that underlies the emergence of psychiatric illness throughout development, such research has the potential to identify clinically useful markers of illness that can improve the early detection of pathology and guide interventions. Although the use of neuroimaging, neuropsychology, neurophysiology and genetics has made significant strides in revealing biological correlates for a broad array of illnesses, findings have been lacking in specificity 3 . Consequently, progress in finding clinically useful brain-based biomarkers has been disappointing 4,5 .Given the slow pace in biomarker identification, investigators have been prompted to rethink research paradigms and practices. Most notably, the emphasis on mapping diagnostic labels from a clinically defined nosology (e.g., the Diagnostic and Statistical Manual of Mental Disorders (DSM) or the International Classification of Diseases) to varying biological indices has proven to be problematic, as it assumes consistent biological relationships with broad constellations of signs and symptoms 6,7 . Epidemiologists, psychopathologists, geneticists and neuroscientists are reconsidering the relevance of diagnostic boundaries due to the lack of specif...

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Age- and sex-related variations in vocal-tract morphology and voice acoustics during adolescence

Cited by 55 publications

References 47 publications

Seven and up: individual differences in male voice fundamental frequency emerge before puberty and remain stable throughout adulthood

Seven and up: individual differences in male voice fundamental frequency emerge before puberty and remain stable throughout adulthood

An open resource for transdiagnostic research in pediatric mental health and learning disorders

An open resource for transdiagnostic research in pediatric mental health and learning disorders

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