Cortical Thickness and Resting State Cardiac Function Across the Lifespan: A Cross-Sectional Pooled Mega Analysis

Contributors:
  1. Birgit Abler
  2. Ingrid Agartz
  3. Torbjörn Åkerstedt
  4. Ole A. Andreassen
  5. Mia Anthony
  6. Katja Bertsch
  7. Rebecca C. Brown
  8. Romuald Brunner
  9. Hugo D. Critchley
  10. Kathryn R. Cullen
  11. Eco J.C. de Geus
  12. Isabel Dziobek
  13. Herta Flor
  14. Peter J. Gianaros
  15. Simon Guendelman
  16. Sabine C. Herpertz
  17. Mandy X. Hu
  18. Michael Kaess
  19. Tobias Kaufmann
  20. Marlene Krauch
  21. Femke Lamers
  22. Mats Lekander
  23. Feng Lin
  24. Elena Makovac
  25. Matteo Mancini
  26. Falk Mancke
  27. Stephen B. Manuck
  28. Bryon Mueller
  29. Vera Muench
  30. Frauke Nees
  31. Daniela Ordonez Acuna
  32. Brenda W.J.H. Penninx
  33. Allison Ponzio
  34. Govinda R. Poudel
  35. Janis Reinelt
  36. Ping Ren
  37. Lin Sørensen
  38. Karsten Specht
  39. Joana Straub
  40. Julian F. Thayer
  41. Benjamin Ubani
  42. Laura S. van Velzen
  43. Carlos Ventura-Bort
  44. Arno Villringer
  45. David R. Watson
  46. Luqing Wei
  47. Julia Wendt
  48. Melinda Westlund Schreiner

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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

This project represents a preprint. Learn more about how to work with preprint files. View preprint

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If you are interested to contribute data to this project, please contact J. Koenig up until May 1st 2018.

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