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Cortical Thickness and Resting State Cardiac Function Across the Lifespan: A Cross-Sectional Pooled Mega Analysis
- Julian Koenig
- Birgit Abler
- Ingrid Agartz
- Torbjörn Åkerstedt
- Ole A. Andreassen
- Mia Anthony
- Katja Bertsch
- Rebecca C. Brown
- Romuald Brunner
- Luca Carnevali
- Hugo Critchley
- Kathryn R. Cullen
- Eco J.C. de Geus
- Isabel Dziobek
- Håkan Fischer
- Herta Flor
- Michael Gaebler
- Peter J. Gianaros
- Melita J. Giummarra
- Steven Greening
- Simon Guendelman
- James Heathers
- Sabine C. Herpertz
- Mandy Xian Hu
- Sebastian Jentschke
- Michael Kaess
- Tobias Kaufmann
- Bonnie Klimes-Dougan
- Stefan Koelsch
- Marlene Krauch
- Deniz Kumral
- Femke Lamers
- Tae-Ho Lee
- Mats Lekander
- Feng Lin
- Martin Lotze
- Elena Makovac
- Matteo Mancini
- Falk Mancke
- Kristoffer Månsson
- Stephen B. Manuck
- Mara Mather
- Frances Meeten
- Jungwon Min
- Bryon Mueller
- Vera Muench
- Frauke Nees
- Lin Nga
- Gustav Nilsonne
- Daniela Ordonez Acuna
- Berge Osnes
- Cristina Ottaviani
- Brenda W.J.H. Penninx
- Allison Ponzio
- Govinda R. Poudel
- Daniel Quintana
- Janis Reinelt
- Ping Ren
- Michiko Sakaki
- Lin Sorensen
- Karsten Specht
- Joana Straub
- Sandra Tamm
- Julian F. Thayer
- Benjamin Ubani
- Denise J. van der Mee
- Laura S. van Velzen
- Carlos Ventura-Bort
- Arno Villringer
- David R. Watson
- Luqing Wei
- Julia Wendt
- Melinda Westlund Schreiner
- Lars T. Westlye
- Mathias Weymar
- Tobias Winkelmann
- Guo-Rong Wu
- Hyun Joo Yoo
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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.