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Brain-behaviour modes of covariation in healthy and clinically depressed young people

Agoston Mihalik, Fabio S. Ferreira, Maria J. Rosa, Michael Moutoussis, Gabriel Ziegler, Joao M. Monteiro, Liana Portugal, Rick A. Adams, Rafael Romero-Garcia, Petra E. Vértes, Manfred G. Kitzbichler, František Váša, Matilde M. Vaghi, Edward T. Bullmore, Peter Fonagy, Ian M. Goodyer, Peter B. Jones, NSPN Consortium, Raymond Dolan, Janaina Mourao-Miranda
doi: https://doi.org/10.1101/487421
Agoston Mihalik
1Centre for Medical Image Computing, Department of Computer Science, University College London, UK
2Max Planck University College London Centre for Computational Psychiatry and Ageing Research, University College London, UK
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  • For correspondence: a.mihalik@ucl.ac.uk
Fabio S. Ferreira
1Centre for Medical Image Computing, Department of Computer Science, University College London, UK
2Max Planck University College London Centre for Computational Psychiatry and Ageing Research, University College London, UK
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Maria J. Rosa
1Centre for Medical Image Computing, Department of Computer Science, University College London, UK
2Max Planck University College London Centre for Computational Psychiatry and Ageing Research, University College London, UK
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Michael Moutoussis
2Max Planck University College London Centre for Computational Psychiatry and Ageing Research, University College London, UK
3Wellcome Trust Centre for Neuroimaging, University College London, United Kingdom
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Gabriel Ziegler
4Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke-University Magdeburg, Germany
5German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
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Joao M. Monteiro
1Centre for Medical Image Computing, Department of Computer Science, University College London, UK
2Max Planck University College London Centre for Computational Psychiatry and Ageing Research, University College London, UK
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Liana Portugal
1Centre for Medical Image Computing, Department of Computer Science, University College London, UK
6LABNEC, Universidade Federal Fluminense, Brazil
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Rick A. Adams
1Centre for Medical Image Computing, Department of Computer Science, University College London, UK
2Max Planck University College London Centre for Computational Psychiatry and Ageing Research, University College London, UK
3Wellcome Trust Centre for Neuroimaging, University College London, United Kingdom
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Rafael Romero-Garcia
7Department of Psychiatry, University of Cambridge, United Kingdom
9Behavioural and Clinical Neuroscience Institute, University of Cambridge, United Kingdom
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Petra E. Vértes
7Department of Psychiatry, University of Cambridge, United Kingdom
9Behavioural and Clinical Neuroscience Institute, University of Cambridge, United Kingdom
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Manfred G. Kitzbichler
7Department of Psychiatry, University of Cambridge, United Kingdom
9Behavioural and Clinical Neuroscience Institute, University of Cambridge, United Kingdom
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František Váša
7Department of Psychiatry, University of Cambridge, United Kingdom
9Behavioural and Clinical Neuroscience Institute, University of Cambridge, United Kingdom
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Matilde M. Vaghi
2Max Planck University College London Centre for Computational Psychiatry and Ageing Research, University College London, UK
3Wellcome Trust Centre for Neuroimaging, University College London, United Kingdom
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Edward T. Bullmore
7Department of Psychiatry, University of Cambridge, United Kingdom
8Cambridgeshire and Peterborough National Health Service Foundation Trust, United Kingdom
9Behavioural and Clinical Neuroscience Institute, University of Cambridge, United Kingdom
10ImmunoPsychiatry, GlaxoSmithKline Research and Development, United Kingdom
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Peter Fonagy
11Research Department of Clinical, Educational and Health Psychology, University College London, United Kingdom
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Ian M. Goodyer
7Department of Psychiatry, University of Cambridge, United Kingdom
8Cambridgeshire and Peterborough National Health Service Foundation Trust, United Kingdom
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Peter B. Jones
7Department of Psychiatry, University of Cambridge, United Kingdom
8Cambridgeshire and Peterborough National Health Service Foundation Trust, United Kingdom
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Raymond Dolan
2Max Planck University College London Centre for Computational Psychiatry and Ageing Research, University College London, UK
3Wellcome Trust Centre for Neuroimaging, University College London, United Kingdom
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Janaina Mourao-Miranda
1Centre for Medical Image Computing, Department of Computer Science, University College London, UK
2Max Planck University College London Centre for Computational Psychiatry and Ageing Research, University College London, UK
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Abstract

Understanding how variations in dimensions of psychometrics, IQ and demographics relate to changes in brain connectivity during the critical developmental period of adolescence and early adulthood is a major challenge. This has particular relevance for mental health disorders where a failure to understand these links might hinder the development of better diagnostic approaches and therapeutics. Here, we investigated this question in 306 adolescents and young adults (14-24y, 25 clinically depressed) using a multivariate statistical framework, based on canonical correlation analysis (CCA). By linking individual functional brain connectivity profiles to self-report questionnaires, IQ and demographic data we identified two distinct modes of covariation. The first mode mapped onto an externalization/internalization axis and showed a strong association with sex. The second mode mapped onto a well-being/distress axis independent of sex. Interestingly, both modes showed an association with age. Crucially, the changes in functional brain connectivity associated with changes in these phenotypes showed marked developmental effects. The findings point to a role for the default mode, frontoparietal and limbic networks in psychopathology and depression.

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Posted December 13, 2018.
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Brain-behaviour modes of covariation in healthy and clinically depressed young people
Agoston Mihalik, Fabio S. Ferreira, Maria J. Rosa, Michael Moutoussis, Gabriel Ziegler, Joao M. Monteiro, Liana Portugal, Rick A. Adams, Rafael Romero-Garcia, Petra E. Vértes, Manfred G. Kitzbichler, František Váša, Matilde M. Vaghi, Edward T. Bullmore, Peter Fonagy, Ian M. Goodyer, Peter B. Jones, NSPN Consortium, Raymond Dolan, Janaina Mourao-Miranda
bioRxiv 487421; doi: https://doi.org/10.1101/487421
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Brain-behaviour modes of covariation in healthy and clinically depressed young people
Agoston Mihalik, Fabio S. Ferreira, Maria J. Rosa, Michael Moutoussis, Gabriel Ziegler, Joao M. Monteiro, Liana Portugal, Rick A. Adams, Rafael Romero-Garcia, Petra E. Vértes, Manfred G. Kitzbichler, František Váša, Matilde M. Vaghi, Edward T. Bullmore, Peter Fonagy, Ian M. Goodyer, Peter B. Jones, NSPN Consortium, Raymond Dolan, Janaina Mourao-Miranda
bioRxiv 487421; doi: https://doi.org/10.1101/487421

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