The COVID-19 pandemic introduced challenges for keeping participants and research assistants safe during laboratory visits. One solution was administering research assessments in the participant's home via an online platform, despite limited evidence of whether online tasks have similar effects as laboratory contexts. The present study compares physiological responses to a virtual adaptation of an infant cry stimulus-which is commonly used to evoke and measure autonomic nervous system responses among pregnant individuals-to a traditional laboratory-based cry task. Respiratory sinus arrhythmia (RSA), electrodermal activity (EDA), and heart rate (HR) were collected during infant cry presentation from 120 pregnant women in their third trimester. Half of the participants observed the infant cry stimulus in the laboratory before the pandemic, and the other half had the task delivered remotely using online teleconferencing technology in their homes. Results revealed that EDA increased and RSA decreased in response to the infant cry stimulus. HR did not significantly change from baseline to the infant cry stimulus. Importantly, whether the participants watched the infant cry stimulus at home versus in the laboratory did not affect their autonomic responses to the stimulus. These results demonstrate the ability of remote tasks to elicit an attachment-relevant stress response in pregnant women for remote data collection.
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http://dx.doi.org/10.1002/dev.70032 | DOI Listing |
Dev Psychobiol
March 2025
Department of Psychiatry, Duke University, Durham, North Carolina, USA.
The COVID-19 pandemic introduced challenges for keeping participants and research assistants safe during laboratory visits. One solution was administering research assessments in the participant's home via an online platform, despite limited evidence of whether online tasks have similar effects as laboratory contexts. The present study compares physiological responses to a virtual adaptation of an infant cry stimulus-which is commonly used to evoke and measure autonomic nervous system responses among pregnant individuals-to a traditional laboratory-based cry task.
View Article and Find Full Text PDFFolia Phoniatr Logop
March 2025
Center for Prespeech Development and Developmental Disorders, University Hospital Würzburg, Würzburg, Germany.
Introduction And Objective: Human neonates are born with some control over their larynx, which is essential for breathing, swallowing and phonation. Laryngeal constriction phenomena were observed during not provoked crying of full-term infants. As preterm infants show alterations in lung development and functionality, the aim of the present study was to examine whether these infants generate laryngeal constriction phenomena during the first week of life.
View Article and Find Full Text PDFAnnu Int Conf IEEE Eng Med Biol Soc
July 2024
Clinical studies have shown that infant crying is a crucial signal containing physical and mental information, such as hunger and pain, which can provide valuable insights into infants' pathology and demand. However, existing studies either focused on infant crying detection or reasoning (needs/diseases), where the limited data and label types hinder the model's generalization to unknown infants and reasons. To this end, we propose a multi-task Infant Crying Detection and Reasoning (ICDR) model for both the tasks of cry detection and reasoning, which utilizes a shared extractor to extract the deep representations and incorporates two classifiers for different tasks.
View Article and Find Full Text PDFJ Autism Dev Disord
March 2025
Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi" - DEI, Alma Mater Studiorum University of Bologna, Bologna, Italy.
Cry analysis is emerging as a promising tool for early autism identification. Acoustic features such as fundamental frequency (F0), cry duration, and phonation have shown potential as early vocal biomarkers. This systematic review and meta-analysis aimed to evaluate the diagnostic value of cry characteristics and the role of Machine Learning (ML) in improving autism screening.
View Article and Find Full Text PDFBiol Lett
February 2025
ENES Bioacoustics Research Lab CRNL, University of Saint-Etienne, CNRS, Inserm, Saint-Etienne, France.
In most human societies, grandparents often provide substantial care and support for their grandchildren, including as babies. Given that previous studies have shown that ageing is accompanied by a gradual decline in our ability to identify other people's emotions, does age also reduce our skill at understanding a baby's cries? Here, we show that older people with experience of caring for babies remain able to correctly decode the information conveyed by babies' cries. The results of our psychoacoustic experiments underline that older people were at least as good as younger adults at identifying whether a baby is crying in pain or rather as a result of simple discomfort.
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