Scholarlink

<p>Severe symptoms in the absence of measurable body pathology are a frequent hallmark of post-COVID syndrome. From a Bayesian Brain perspective, such symptoms can be explained by incorrect internal models that the brain uses to interpret sensory signals. In this pre-registered study, we investigate whether induced breathlessness perception during a controlled CO<sub>2</sub>rebreathing challenge is reflected by altered respiratory measures (physiology and breathing patterns), and propose different computational mechanisms that could explain our findings in a Bayesian Brain framework. We analysed data from 40 patients with post-COVID syndrome and 40 healthy participants. Results from lung function, neurological and neurocognitive examination of all participants were within normal limits on the day of the experiment. Using a Bayesian repeated-measures ANOVA, we found that patients’ breathlessness was strongly increased (BF<sub>10,<i>baseline</i></sub>=8.029, BF<sub>10,<i>rebreathing</i></sub>=11636, BF<sub>10,<i>recovery</i></sub>=43662) compared to controls. When excluding patients who hyperventilated (<i>N</i> = 8, 20%) during the experiment from the analysis, differences in breathlessness remained (BF<sub>10,<i>baseline</i></sub>=1.283, BF<sub>10,<i>rebreathing</i></sub>=126.812, BF<sub>10,<i>recovery</i></sub>=751.282). For physiology and breathing patterns, all evidence pointed towards no difference between the two groups (0.307 &gt; BF<sub>10</sub> &lt; 0.704). In summary, we found intact breathing patterns and physiology but increased symptom perception in patients with post-COVID syndrome.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Increased breathlessness in post-COVID syndrome despite normal breathing patterns in a rebreathing challenge

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月29日

查看全文
  • Dina von Werder,
  • Maria Aubele,
  • Franziska Regnath,
  • Elisabeth Tebbe,
  • Dejan Mladenov,
  • Victoria von Rheinbaben,
  • Elisabeth Hahn,
  • Daniel Schäfer,
  • Katharina Biersack,
  • Kristina Adorjan,
  • Hans C. Stubbe,
  • Katleen Bogaerts,
  • Rudolf A. Jörres,
  • Dennis Nowak,
  • Omer Van den Bergh,
  • Stefan Glasauer,
  • Nadine Lehnen

摘要

Severe symptoms in the absence of measurable body pathology are a frequent hallmark of post-COVID syndrome. From a Bayesian Brain perspective, such symptoms can be explained by incorrect internal models that the brain uses to interpret sensory signals. In this pre-registered study, we investigate whether induced breathlessness perception during a controlled CO2rebreathing challenge is reflected by altered respiratory measures (physiology and breathing patterns), and propose different computational mechanisms that could explain our findings in a Bayesian Brain framework. We analysed data from 40 patients with post-COVID syndrome and 40 healthy participants. Results from lung function, neurological and neurocognitive examination of all participants were within normal limits on the day of the experiment. Using a Bayesian repeated-measures ANOVA, we found that patients’ breathlessness was strongly increased (BF10,baseline=8.029, BF10,rebreathing=11636, BF10,recovery=43662) compared to controls. When excluding patients who hyperventilated (N = 8, 20%) during the experiment from the analysis, differences in breathlessness remained (BF10,baseline=1.283, BF10,rebreathing=126.812, BF10,recovery=751.282). For physiology and breathing patterns, all evidence pointed towards no difference between the two groups (0.307 > BF10 < 0.704). In summary, we found intact breathing patterns and physiology but increased symptom perception in patients with post-COVID syndrome.