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  A cross-cohort replicable and heritable latent dimension linking behaviour to multi-featured brain structure

Nicolaisen-Sobesky, E., Mihalik, A., Kharabian-Masouleh, S., Ferreira, F. S., Hoffstaedter, F., Schwender, H., et al. (2022). A cross-cohort replicable and heritable latent dimension linking behaviour to multi-featured brain structure. Communications Biology, 5(1): 1297. doi:10.1038/s42003-022-04244-5.

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 Creators:
Nicolaisen-Sobesky, Eliana1, Author
Mihalik, Agoston2, 3, 4, Author
Kharabian-Masouleh, Shahrzad1, 5, Author
Ferreira, Fabio S.2, 3, Author
Hoffstaedter, Felix1, 5, Author
Schwender, Holger6, Author
Maleki Balajoo, Somayeh1, 5, Author
Valk, Sofie L.1, 5, 7, Author                 
Eickhoff, Simon B.1, 5, Author
Yeo, B. T. Thomas8, Author
Mourao-Miranda, Janaina2, 3, Author
Genon, Sarah1, 5, Author
Affiliations:
1Institute of Neuroscience and Medicine, Research Center Jülich, Germany, ou_persistent22              
2Centre for Medical Image Computing, University College London, United Kingdom, ou_persistent22              
3Max Planck UCL Centre for Computational Psychiatry and Ageing Research, London, United Kingdom, ou_persistent22              
4Department of Psychiatry, University of Cambridge, United Kingdom, ou_persistent22              
5Institute of Systems Neuroscience, University Hospital Düsseldorf, Germany, ou_persistent22              
6Mathematical Institute, Heinrich Heine University Düsseldorf, Germany, ou_persistent22              
7Otto Hahn Group Cognitive Neurogenetics, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_3222264              
8Department of Electrical and Computer Engineering, National University of Singapore, ou_persistent22              

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Free keywords: Cognitive neuroscience; Human behaviour
 Abstract: Identifying associations between interindividual variability in brain structure and behaviour requires large cohorts, multivariate methods, out-of-sample validation and, ideally, out-of-cohort replication. Moreover, the influence of nature vs nurture on brain-behaviour associations should be analysed. We analysed associations between brain structure (grey matter volume, cortical thickness, and surface area) and behaviour (spanning cognition, emotion, and alertness) using regularized canonical correlation analysis and a machine learning framework that tests the generalisability and stability of such associations. The replicability of brain-behaviour associations was assessed in two large, independent cohorts. The load of genetic factors on these associations was analysed with heritability and genetic correlation. We found one heritable and replicable latent dimension linking cognitive-control/executive-functions and positive affect to brain structural variability in areas typically associated with higher cognitive functions, and with areas typically associated with sensorimotor functions. These results revealed a major axis of interindividual behavioural variability linking to a whole-brain structural pattern.

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Language(s): eng - English
 Dates: 2022-05-312022-11-092022-11-26
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1038/s42003-022-04244-5
PMID: 36435870
PMC: PMC9701210
 Degree: -

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Project name : -
Grant ID : GE 2835/2–1; EI 816/ 4–1
Funding program : -
Funding organization : Deutsche Forschungsgemeinschaft (DFG)
Project name : -
Grant ID : 720270; 785907
Funding program : Horizon 2020
Funding organization : European Union
Project name : -
Grant ID : 1U54MH091657
Funding program : -
Funding organization : WU-Minn Consortium
Project name : -
Grant ID : U01AG052564; R01MH120080
Funding program : -
Funding organization : National Institutes of Health
Project name : -
Grant ID : WT102845/Z/13/Z
Funding program : -
Funding organization : Wellcome Trust
Project name : -
Grant ID : SFRH/BD/120640/2016
Funding program : -
Funding organization : Fundação para a Ciência e a Tecnologia
Project name : -
Grant ID : NUHSRO/2020/124/TMR/LOA
Funding program : -
Funding organization : NUS Yong Loo Lin School of Medicine
Project name : -
Grant ID : OFLCG19May-0035M; STaR20nov-0003
Funding program : -
Funding organization : Singapore National Medical Research Council
Project name : -
Grant ID : -
Funding program : -
Funding organization : Projekt DEAL

Source 1

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Title: Communications Biology
Source Genre: Journal
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Publ. Info: London : Springer Nature
Pages: - Volume / Issue: 5 (1) Sequence Number: 1297 Start / End Page: - Identifier: ISSN: 2399-3642
CoNE: https://pure.mpg.de/cone/journals/resource/2399-3642