Main content

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

Date created: | Last Updated:

: DOI | ARK

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

Wiki

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

Files

Loading files...

Citation

Tags

Recent Activity

Loading logs...

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
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.
Accept
×

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.