This title appears in the Scientific Report :
2022
Please use the identifier:
http://dx.doi.org/10.34734/FZJ-2022-03050 in citations.
Please use the identifier: http://hdl.handle.net/2128/31696 in citations.
Please use the identifier: http://dx.doi.org/10.1038/s41598-022-17556-7 in citations.
Empirical facts from search for replicable associations between cortical thickness and psychometric variables in healthy adults
Empirical facts from search for replicable associations between cortical thickness and psychometric variables in healthy adults
The study of associations between inter-individual differences in brain structure and behaviour has a long history in psychology and neuroscience. Many associations between psychometric data, particularly intelligence and personality measures and local variations of brain structure have been reporte...
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Personal Name(s): | Kharabian, Shahrzad |
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Eickhoff, Simon / Maleki Balajoo, Somayeh / Nicolaisen, Eliana / Thirion, Bertrand / GENON, Sarah (Corresponding author) | |
Contributing Institute: |
Gehirn & Verhalten; INM-7 |
Published in: | Scientific reports, 12 (2022) 1, S. 13286 |
Imprint: |
[London]
Macmillan Publishers Limited, part of Springer Nature
2022
|
DOI: |
10.34734/FZJ-2022-03050 |
DOI: |
10.1038/s41598-022-17556-7 |
Document Type: |
Journal Article |
Research Program: |
Neuroimaging Multilevel Brain Organization and Variability |
Link: |
Get full text OpenAccess OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://hdl.handle.net/2128/31696 in citations.
Please use the identifier: http://dx.doi.org/10.1038/s41598-022-17556-7 in citations.
The study of associations between inter-individual differences in brain structure and behaviour has a long history in psychology and neuroscience. Many associations between psychometric data, particularly intelligence and personality measures and local variations of brain structure have been reported. While the impact of such reported associations often goes beyond scientific communities, resonating in the public mind, their replicability is rarely evidenced. Previously, we have shown that associations between psychometric measures and estimates of grey matter volume (GMV) result in rarely replicated findings across large samples of healthy adults. However, the question remains if these observations are at least partly linked to the multidetermined nature of the variations in GMV, particularly within samples with wide age-range. Therefore, here we extended those evaluations and empirically investigated the replicability of associations of a broad range of psychometric variables and cortical thickness in a large cohort of healthy young adults. In line with our observations with GMV, our current analyses revealed low likelihood of significant associations and their rare replication across independent samples. We here discuss the implications of these findings within the context of accumulating evidence of the general poor replicability of structural-brain-behaviour associations, and more broadly of the replication crisis. |