Browse
Submit Data
Databases
API
Help

Dataset Information

7 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Observation and analysis of in vivo vocal fold tissue instabilities produced by nonlinear source-filter coupling: a case study.

ABSTRACT: Different source-related factors can lead to vocal fold instabilities and bifurcations referred to as voice breaks. Nonlinear coupling in phonation suggests that changes in acoustic loading can also be responsible for this unstable behavior. However, no in vivo visualization of tissue motion during these acoustically induced instabilities has been reported. Simultaneous recordings of laryngeal high-speed videoendoscopy, acoustics, aerodynamics, electroglottography, and neck skin acceleration are obtained from a participant consistently exhibiting voice breaks during pitch glide maneuvers. Results suggest that acoustically induced and source-induced instabilities can be distinguished at the tissue level. Differences in vibratory patterns are described through kymography and phonovibrography; measures of glottal area, open/speed quotient, and amplitude/phase asymmetry; and empirical orthogonal function decomposition. Acoustically induced tissue instabilities appear abruptly and exhibit irregular vocal fold motion after the bifurcation point, whereas source-induced ones show a smoother transition. These observations are also reflected in the acoustic and acceleration signals. Added aperiodicity is observed after the acoustically induced break, and harmonic changes appear prior to the bifurcation for the source-induced break. Both types of breaks appear to be subcritical bifurcations due to the presence of hysteresis and amplitude changes after the frequency jumps. These results are consistent with previous studies and the nonlinear source-filter coupling theory.

SUBMITTER: Zanartu M

PROVIDER: S-EPMC3055289 | biostudies-other | 2011 Jan

REPOSITORIES: biostudies-other

ACCESS DATA

Json Xml

Similar Datasets

Nonlinear source-filter coupling in phonation: vocal exercises.

Project description:Nonlinear source-filter coupling has been demonstrated in computer simulations, in excised larynx experiments, and in physical models, but not in a consistent and unequivocal way in natural human phonations. Eighteen subjects (nine adult males and nine adult females) performed three vocal exercises that represented a combination of various fundamental frequency and formant glides. The goal of this study was to pinpoint the proportion of source instabilities that are due to nonlinear source-tract coupling. It was hypothesized that vocal fold vibration is maximally destabilized when F(0) crosses F(1), where the acoustic load changes dramatically. A companion paper provides the theoretical underpinnings. Expected manifestations of a source-filter interaction were sudden frequency jumps, subharmonic generation, or chaotic vocal fold vibrations that coincide with F(0)-F(1) crossovers. Results indicated that the bifurcations occur more often in phonations with F(0)-F(1) crossovers, suggesting that nonlinear source-filter coupling is partly responsible for source instabilities. Furthermore it was observed that male subjects show more bifurcations in phonations with F(0)-F(1) crossovers, presumably because in normal speech they are less likely to encounter these crossovers as much as females and hence have less practice in suppressing unwanted instabilities.

| S-EPMC2677316 | biostudies-other

Source-tract interaction with prescribed vocal fold motion.

Project description:An equation describing the time-evolution of glottal volume velocity with specified vocal fold motion is derived when the sub- and supra-glottal vocal tracts are present. The derivation of this Fant equation employs a property explicated in Howe and McGowan [(2011) J. Fluid Mech. 672, 428-450] that the Fant equation is the adjoint to the equation characterizing the matching conditions of sub- and supra-glottal Green's functions segments with the glottal segment. The present aeroacoustic development shows that measurable quantities such as input impedances at the glottis, provide the coefficients for the Fant equation when source-tract interaction is included in the development. Explicit expressions for the Green's function are not required. With the poles and zeros of the input impedance functions specified, the Fant equation can be solved. After the general derivation of the Fant equation, the specific cases where plane wave acoustic propagation is described either by a Sturm-Liouville problem or concatenated cylindrical tubes is considered. Simulations show the expected skewing of the glottal volume velocity pulses depending on whether the fundamental frequency is below or above a sub- or supra-glottal formant. More complex glottal wave forms result when both the first supra-glottal fundamental frequencies are high and close to the first sub-glottal formant.

| S-EPMC3341965 | biostudies-other

Expression data from rat vocal fold at different periods after vocal fold injury

Project description:Vocal cord healing is a dynamic process, and many genes and proteins are involved, which play varying roles at different regeneration stages after injury. Previous studies have shown that inflammatory responses occur at the early stage of vocal cord injury, where the fibroblasts proliferate exuberantly with intensive secretion and deposition of ECM. These activities reach the peak at 3-7 days and their intensity begins to decline 15 days later. A study based on the dermal system has shown that ECM remodeling during the repair of injury can last for several months. However, few studies have been conducted as to the dynamic changes of gene expressions and signaling pathway during the healing process of vocal cord injury. Plotting these changes will facilitate the understanding about the physiological changes during healing and the identification of key time points and target genes in fibrosis formation.

2019-10-26 | GSE139383 | GEO

Expression data from rat vocal fold at different periods after vocal fold injury (miRNA)

Project description:Vocal cord healing is a dynamic process, and many genes and proteins are involved, which play varying roles at different regeneration stages after injury. Previous studies have shown that inflammatory responses occur at the early stage of vocal cord injury, where the fibroblasts proliferate exuberantly with intensive secretion and deposition of ECM. These activities reach the peak at 3-7 days and their intensity begins to decline 15 days later. A study based on the dermal system has shown that ECM remodeling during the repair of injury can last for several months. However, few studies have been conducted as to the dynamic changes of gene and microRNA expressions during the healing process of vocal cord injury. Plotting these changes will facilitate the understanding about the physiological changes during healing and the identification of key time points and target genes and microRNAs in fibrosis formation.

2020-03-25 | GSE147473 | GEO

Transcription in wounded rat vocal folds and vocal fold fibroblasts

Project description:We used microarrays to characterize transcriptome profiles of rat vocal fold tissue following surgical injury (vs. naive tissue); rat vocal fold fibroblasts harvested from scar tissue at the 60 d time point (vs. naive fibroblasts); rat vocal fold scar fibroblasts treated with siRNA against the collagen chaperone protein rat gp46 (vs. scramble siRNA). Adult Fischer 344 rat vocal fold tissue was harvested at 3, 14, and 60 days following surgical injury (control = age-matched naive tissue); rat vocal fold scar fibroblasts were obtained via explant culture of tissue obtained 60 days following surgical injury and harvested at 80% confluence during passage 1 (control = age-matched naive rat vocal fold fibroblasts); rat vocal fold scar fibroblasts were treated for 1 h with 50 nM liposome-delivered siRNA against rat gp46 when 80% confluent at passage 1, cultured for an additional 24 h in fresh media, then harvested (control = rat vocal fold scar fibroblasts treated with 50 nM liposome-delivered scramble siRNA).

2014-10-09 | E-GEOD-62204 | biostudies-arrayexpress

Transcription in wounded rat vocal folds and vocal fold fibroblasts

2014-10-09 | GSE62204 | GEO

The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation Models.

Project description:The Kalman filter provides a simple and efficient algorithm to compute the posterior distribution for state-space models where both the latent state and measurement models are linear and gaussian. Extensions to the Kalman filter, including the extended and unscented Kalman filters, incorporate linearizations for models where the observation model p(observation|state) is nonlinear. We argue that in many cases, a model for p(state|observation) proves both easier to learn and more accurate for latent state estimation. Approximating p(state|observation) as gaussian leads to a new filtering algorithm, the discriminative Kalman filter (DKF), which can perform well even when p(observation|state) is highly nonlinear and/or nongaussian. The approximation, motivated by the Bernstein-von Mises theorem, improves as the dimensionality of the observations increases. The DKF has computational complexity similar to the Kalman filter, allowing it in some cases to perform much faster than particle filters with similar precision, while better accounting for nonlinear and nongaussian observation models than Kalman-based extensions. When the observation model must be learned from training data prior to filtering, off-the-shelf nonlinear and nonparametric regression techniques can provide a gaussian model for p(observation|state) that cleanly integrates with the DKF. As part of the BrainGate2 clinical trial, we successfully implemented gaussian process regression with the DKF framework in a brain-computer interface to provide real-time, closed-loop cursor control to a person with a complete spinal cord injury. In this letter, we explore the theory underlying the DKF, exhibit some illustrative examples, and outline potential extensions.

| S-EPMC8259355 | biostudies-literature

Nonlinear viscoelastic characterization of human vocal fold tissues under large-amplitude oscillatory shear (LAOS).

Project description:Viscoelastic shear properties of human vocal fold tissues were previously quantified by the shear moduli (G' and G?). Yet these small-strain linear measures were unable to describe any nonlinear tissue behavior. This study attempted to characterize the nonlinear viscoelastic response of the vocal fold lamina propria under large-amplitude oscillatory shear (LAOS) with a stress decomposition approach. Human vocal fold cover and vocal ligament specimens from eight subjects were subjected to LAOS rheometric testing with a simple-shear rheometer. The empirical total stress response was decomposed into elastic and viscous stress components, based on odd-integer harmonic decomposition approach with Fourier transform. Nonlinear viscoelastic measures derived from the decomposition were plotted in Pipkin space and as rheological fingerprints to observe the onset of nonlinearity and the type of nonlinear behavior. Results showed that both the vocal fold cover and the vocal ligament experienced intercycle strain softening, intracycle strain stiffening, as well as shear thinning both intercycle and intracycle. The vocal ligament appeared to demonstrate an earlier onset of nonlinearity at phonatory frequencies, and higher sensitivity to changes in frequency and strain. In summary, the stress decomposition approach provided much better insights into the nonlinear viscoelastic behavior of the vocal fold lamina propria than the traditional linear measures.

| S-EPMC5959278 | biostudies-literature

Vocal individuality cues in the African penguin (Spheniscus demersus): a source-filter theory approach.

Project description:The African penguin is a nesting seabird endemic to southern Africa. In penguins of the genus Spheniscus vocalisations are important for social recognition. However, it is not clear which acoustic features of calls can encode individual identity information. We recorded contact calls and ecstatic display songs of 12 adult birds from a captive colony. For each vocalisation, we measured 31 spectral and temporal acoustic parameters related to both source and filter components of calls. For each parameter, we calculated the Potential of Individual Coding (PIC). The acoustic parameters showing PIC ? 1.1 were used to perform a stepwise cross-validated discriminant function analysis (DFA). The DFA correctly classified 66.1% of the contact calls and 62.5% of display songs to the correct individual. The DFA also resulted in the further selection of 10 acoustic features for contact calls and 9 for display songs that were important for vocal individuality. Our results suggest that studying the anatomical constraints that influence nesting penguin vocalisations from a source-filter perspective, can lead to a much better understanding of the acoustic cues of individuality contained in their calls. This approach could be further extended to study and understand vocal communication in other bird species.

| S-EPMC4658557 | biostudies-literature

Unraveling the molecular pathobiology of vocal fold systemic dehydration using an in vivo rabbit model

Project description:The purpose of this study is to investigate if acute systemic dehydration impacts the vocal folds at the mRNA level. Rabbits were used as animal model to enable a systematic and rigorous assessment of the pathobiology of vocal fold hydration since they can be manipulated in a physiologically realistic manner. We anticipate that the results of this study will help to elucidate the effects of altered hydration state in response to furosemide on vocal fold epithelium, lamina propria and muscle tissue at the transcriptome level. Together with cellular, structural, and functional techniques that are part of this project, we expect to provide validated scientific recommendations on the adverse effects of dehydration and the therapeutic benefits of hydration.

2020-07-09 | GSE132765 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data