Main content

  1. Birgit Abler
  2. Ingrid Agartz
  3. Torbjörn Åkerstedt
  4. Mia Anthony
  5. Katja Bertsch
  6. Rebecca C. Brown
  7. Romuald Brunner
  8. Eco J.C. de Geus
  9. Simon Guendelman
  10. Sabine C. Herpertz
  11. Michael Kaess
  12. Tobias Kaufmann
  13. Marlene Krauch
  14. Feng Lin
  15. Elena Makovac
  16. Matteo Mancini
  17. Falk Mancke
  18. Bryon Mueller
  19. Vera Muench
  20. Frauke Nees
  21. Daniela Ordonez Acuna
  22. Brenda W.J.H. Penninx
  23. Allison Ponzio
  24. Govinda R. Poudel
  25. Janis Reinelt
  26. Ping Ren
  27. Lin Sørensen
  28. Joana Straub
  29. Julian F. Thayer
  30. Benjamin Ubani
  31. Laura S. van Velzen
  32. David R. Watson
  33. Luqing Wei
  34. Melinda Westlund Schreiner

Date created: | Last Updated:


Creating DOI. Please wait...

Create DOI

Category: Project

Description: Resting state autonomic nervous system activity [ANS] indexed by measures of heart rate [HR] and its variability [HRV], is associated with brain morphology, in particular cortical thickness [CT]. However, findings have been mixed regarding the regions of interest [ROI] associated with HR/HRV and the direction of the association. Sex and age differences in HR/HRV and CT may explain some of the existing inconsistencies. Understanding the association between ANS function and brain morphology across aging, may provide important insights into neurovisceral mechanisms underlying health and disease. Previous studies have been limited by small sample sizes, prohibiting the assessment of sex differences, and effects of aging, in the association between ANS function and CT. In an effort to overcome these limitations, data from researchers worldwide, applying similar protocols in the assessment of CT and recording of HR/HRV, will be pooled for a mega-analysis. This preprint details the hypotheses, strategies for pooling of data and planned analyses of this project.

License: CC0 1.0 Universal


Add important information, links, or images here to describe your project.


Loading files...



Recent Activity

Loading logs...

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.