View in EDS HTML Full Text PDF Full Text

Post-COVID breathlessness: a mathematical model of respiratory processing in the brain.

Saved in:
Bibliographic Details
Title: Post-COVID breathlessness: a mathematical model of respiratory processing in the brain.
Authors: von Werder, Dina (AUTHOR), Regnath, Franziska (AUTHOR), Schäfer, Daniel (AUTHOR), Jörres, Rudolf (AUTHOR), Lehnen, Nadine (AUTHOR), Glasauer, Stefan (AUTHOR)
Source: European Archives of Psychiatry & Clinical Neuroscience. Dec2024, Vol. 274 Issue 8, p1857-1868. 12p.
Subjects: Post-acute COVID-19 syndrome, COVID-19 pandemic, Central nervous system, COVID-19, Dyspnea
Abstract: Breathlessness is among the most common post-COVID symptoms. In a considerable number of patients, severe breathlessness cannot be explained by peripheral organ impairment. Recent concepts have described how such persistent breathlessness could arise from dysfunctional processing of respiratory information in the brain. In this paper, we present a first quantitative and testable mathematical model of how processing of respiratory-related signals could lead to breathlessness perception. The model is based on recent theories that the brain holds an adaptive and dynamic internal representation of a respiratory state that is based on previous experiences and comprises gas exchange between environment, lung and tissue cells. Perceived breathlessness reflects the brain's estimate of this respiratory state signaling a potentially hazardous disequilibrium in gas exchange. The internal respiratory state evolves from the respiratory state of the last breath, is updated by a sensory measurement of CO2 concentration, and is dependent on the current activity context. To evaluate our model and thus test the assumed mechanism, we used data from an ongoing rebreathing experiment investigating breathlessness in patients with post-COVID without peripheral organ dysfunction (N = 5) and healthy control participants without complaints after COVID-19 (N = 5). Although the observed breathlessness patterns varied extensively between individual participants in the rebreathing experiment, our model shows good performance in replicating these individual, heterogeneous time courses. The model assumes the same underlying processes in the central nervous system in all individuals, i.e., also between patients and healthy control participants, and we hypothesize that differences in breathlessness are explained by different weighting and thus influence of these processes on the final percept. Our model could thus be applied in future studies to provide insight into where in the processing cascade of respiratory signals a deficit is located that leads to (post-COVID) breathlessness. A potential clinical application could be, e.g., the monitoring of effects of pulmonary rehabilitation on respiratory processing in the brain to improve the therapeutic strategies. [ABSTRACT FROM AUTHOR]
Copyright of European Archives of Psychiatry & Clinical Neuroscience is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 180988869
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Post-COVID breathlessness: a mathematical model of respiratory processing in the brain.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22von+Werder%2C+Dina%22">von Werder, Dina</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Regnath%2C+Franziska%22">Regnath, Franziska</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Schäfer%2C+Daniel%22">Schäfer, Daniel</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jörres%2C+Rudolf%22">Jörres, Rudolf</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lehnen%2C+Nadine%22">Lehnen, Nadine</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Glasauer%2C+Stefan%22">Glasauer, Stefan</searchLink> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22European+Archives+of+Psychiatry+%26+Clinical+Neuroscience%22">European Archives of Psychiatry & Clinical Neuroscience</searchLink>. Dec2024, Vol. 274 Issue 8, p1857-1868. 12p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Post-acute+COVID-19+syndrome%22">Post-acute COVID-19 syndrome</searchLink><br /><searchLink fieldCode="DE" term="%22COVID-19+pandemic%22">COVID-19 pandemic</searchLink><br /><searchLink fieldCode="DE" term="%22Central+nervous+system%22">Central nervous system</searchLink><br /><searchLink fieldCode="DE" term="%22COVID-19%22">COVID-19</searchLink><br /><searchLink fieldCode="DE" term="%22Dyspnea%22">Dyspnea</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Breathlessness is among the most common post-COVID symptoms. In a considerable number of patients, severe breathlessness cannot be explained by peripheral organ impairment. Recent concepts have described how such persistent breathlessness could arise from dysfunctional processing of respiratory information in the brain. In this paper, we present a first quantitative and testable mathematical model of how processing of respiratory-related signals could lead to breathlessness perception. The model is based on recent theories that the brain holds an adaptive and dynamic internal representation of a respiratory state that is based on previous experiences and comprises gas exchange between environment, lung and tissue cells. Perceived breathlessness reflects the brain's estimate of this respiratory state signaling a potentially hazardous disequilibrium in gas exchange. The internal respiratory state evolves from the respiratory state of the last breath, is updated by a sensory measurement of CO2 concentration, and is dependent on the current activity context. To evaluate our model and thus test the assumed mechanism, we used data from an ongoing rebreathing experiment investigating breathlessness in patients with post-COVID without peripheral organ dysfunction (N = 5) and healthy control participants without complaints after COVID-19 (N = 5). Although the observed breathlessness patterns varied extensively between individual participants in the rebreathing experiment, our model shows good performance in replicating these individual, heterogeneous time courses. The model assumes the same underlying processes in the central nervous system in all individuals, i.e., also between patients and healthy control participants, and we hypothesize that differences in breathlessness are explained by different weighting and thus influence of these processes on the final percept. Our model could thus be applied in future studies to provide insight into where in the processing cascade of respiratory signals a deficit is located that leads to (post-COVID) breathlessness. A potential clinical application could be, e.g., the monitoring of effects of pulmonary rehabilitation on respiratory processing in the brain to improve the therapeutic strategies. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of European Archives of Psychiatry & Clinical Neuroscience is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=180988869
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s00406-023-01739-y
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 1857
    Subjects:
      – SubjectFull: Post-acute COVID-19 syndrome
        Type: general
      – SubjectFull: COVID-19 pandemic
        Type: general
      – SubjectFull: Central nervous system
        Type: general
      – SubjectFull: COVID-19
        Type: general
      – SubjectFull: Dyspnea
        Type: general
    Titles:
      – TitleFull: Post-COVID breathlessness: a mathematical model of respiratory processing in the brain.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: von Werder, Dina
      – PersonEntity:
          Name:
            NameFull: Regnath, Franziska
      – PersonEntity:
          Name:
            NameFull: Schäfer, Daniel
      – PersonEntity:
          Name:
            NameFull: Jörres, Rudolf
      – PersonEntity:
          Name:
            NameFull: Lehnen, Nadine
      – PersonEntity:
          Name:
            NameFull: Glasauer, Stefan
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 12
              Text: Dec2024
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-print
              Value: 09401334
          Numbering:
            – Type: volume
              Value: 274
            – Type: issue
              Value: 8
          Titles:
            – TitleFull: European Archives of Psychiatry & Clinical Neuroscience
              Type: main
ResultId 1