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. Mia Anthony
  5. Katja Bertsch
  6. Rebecca C. Brown
  7. Romuald Brunner
  8. Kathryn R. Cullen
  9. Eco J.C. de Geus
  10. Isabel Dziobek
  11. Simon Guendelman
  12. Sabine C. Herpertz
  13. Michael Kaess
  14. Tobias Kaufmann
  15. Marlene Krauch
  16. Feng Lin
  17. Elena Makovac
  18. Matteo Mancini
  19. Falk Mancke
  20. Stephen B. Manuck
  21. Bryon Mueller
  22. Vera Muench
  23. Frauke Nees
  24. Daniela Ordonez Acuna
  25. Brenda W.J.H. Penninx
  26. Allison Ponzio
  27. Govinda R. Poudel
  28. Janis Reinelt
  29. Ping Ren
  30. Lin Sørensen
  31. Joana Straub
  32. Julian F. Thayer
  33. Benjamin Ubani
  34. Laura S. van Velzen
  35. David R. Watson
  36. Luqing Wei
  37. 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

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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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