Respiratory variability preceding and following sighs: a resetter hypothesis.
Open accessAbstract
Respiratory behavior is characterized by complex variability with structured and random components. Assuming that both a lack of variability and too much randomness represent suboptimal breathing regulation, we hypothesized that sighing acts as a resetter inducing structured variability. Spontaneous breathing was measured in healthy persons (N=42) during a 20min period of quiet sitting using the LifeShirt(®) System. Four blocks of 10 breaths with a 50% window overlap were determined before and after spontaneous sighs. Total respiratory variability of minute ventilation was measured using the coefficient of variation and structured (correlated) variability was quantified using autocorrelation. Towards a sigh, total variability gradually increased without concomittant changes in correlated variability, suggesting that randomness increased. After a sigh, correlated variability increased. No changes in variability were found in comparable epochs without intermediate sighs. We conclude that a sigh resets structured respiratory variability, enhancing information processing in the respiratory system.
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Decreased HRV and respiratory variability are clearly associated with emotional as well as cognitive load and top-down regulation.
“Decreased HRV and respiratory variability are clearly associated with emotional (e.g., negative emotions such as anxiety, Boiten, 1998; Thayer and Lane, 2000; Wilhelm et al., 2001; Van Diest et al., 2006; Friedman, 2007) as well as cognitive load and top-down regulation (Thayer and Lane, 2000, 2009; Vlemincx et al., 2010, 2011).”
From Voice Stress Analysis: A New Framework for Voice and Effort in Human Performance (2018) · cites this paper as Vlemincx et al., 2010
The Discussion (page unavailable in our copy) says task-related concentration may be accompanied by reduced respiratory variability and links task-related activation to reduced cardiorespiratory complexity. It does not establish decreased HRV in relation to cognitive load or top-down regulation; the authors say they could not assess HRV in this study. The claim’s unqualified wording is also stronger than the paper’s tentative account of respiratory variability. (LLM, conf=0.84)
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Voice Stress Analysis: A New Framework for Voice and Effort in Human Performance
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Self-citation
- Authors
- Vlemincx, E., Van Diest, I., Lehrer, P. M., Aubert, A. E., & Van den Bergh, O.
- Affiliations
- KU Leuven (BE)
- University of Medicine and Dentistry of New Jersey (US)
- Venue
- Biological Psychology
- Publisher
- Elsevier BV
- Published
- 2010-04
- Volume
- 84
- Issue
- 1
- Pages
- 82-87
- ISSN
- 0301-0511 (ISSN-L)
- OpenAlex
- W2066222517
- Cited by
- 51
- References
- 45
- Citations by year
- 2026: 4 · 2025: 2 · 2024: 3 · 2023: 1 · 2022: 2 · 2021: 2 · 2020: 4 · 2019: 1 · 2018: 3 · 2017: 3 · 2016: 5 · 2015: 5 · 2014: 3 · 2013: 4 · 2012: 5
- FWCI
- 1.94
- Type
- journal article
- Language
- en
- Open access
- green
- lirias.kuleuven.be
- Licence
- Locations
- Biological Psychology (publishedVersion)
- PubMed (publishedVersion)
- Lirias (KU Leuven) (submittedVersion, other-oa)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Neuroscience of respiration and sleep
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Keywords
- sighing, respiratory variation, respiratory control, random variation, minute ventilation, autocorrelation, coefficient of variation, spontaneous breathing
- MeSH terms
- Adolescent, Female, Humans, Male, Respiration, Respiratory Mechanics, Young Adult
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