Domain adapted brain network fusion captures variance related to pubertal brain development and mental health

Puberty demarks a period of profound brain dynamics that orchestrates changes to a multitude of neuroimaging-derived phenotypes. This complexity poses a dimensionality problem when attempting to chart an individual’s brain development over time. Here, we illustrate that shifts in subject similarity...

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Published inNature communications Vol. 14; no. 1; pp. 6698 - 10
Main Authors Kraft, Dominik, Alnæs, Dag, Kaufmann, Tobias
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 23.10.2023
Nature Publishing Group
Nature Portfolio
Subjects
59/57
631/378/116
631/378/2649
631/477
Adaptation
Adolescent
Adolescents
Brain
Brain - diagnostic imaging
Brain research
Charts
Cognitive development
Datasets
Humanities and Social Sciences
Humans
Longitudinal Studies
Machine learning
Medical imaging
Mental disorders
Mental Health
multidisciplinary
Neuroimaging
Phenotypes
Psychopathology
Puberty
Science
Science (multidisciplinary)
Similarity
Online AccessGet full text

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Abstract Puberty demarks a period of profound brain dynamics that orchestrates changes to a multitude of neuroimaging-derived phenotypes. This complexity poses a dimensionality problem when attempting to chart an individual’s brain development over time. Here, we illustrate that shifts in subject similarity of brain imaging data relate to pubertal maturation in the longitudinal ABCD study. Given that puberty depicts a critical window for emerging mental health issues, we additionally show that our model is capable of capturing variance in the adolescent brain related to psychopathology in a population-based and a clinical cohort. These results suggest that low-dimensional reference spaces based on subject similarities render useful to chart variance in brain development in youths. Charting variance in brain development across adolescence remains a challenge. Here, the authors show that domain adapted brain network fusion based on subject similarities in brain structure is associated with puberty and mental health in two independent cohorts.
AbstractList Puberty demarks a period of profound brain dynamics that orchestrates changes to a multitude of neuroimaging-derived phenotypes. This complexity poses a dimensionality problem when attempting to chart an individual's brain development over time. Here, we illustrate that shifts in subject similarity of brain imaging data relate to pubertal maturation in the longitudinal ABCD study. Given that puberty depicts a critical window for emerging mental health issues, we additionally show that our model is capable of capturing variance in the adolescent brain related to psychopathology in a population-based and a clinical cohort. These results suggest that low-dimensional reference spaces based on subject similarities render useful to chart variance in brain development in youths.Puberty demarks a period of profound brain dynamics that orchestrates changes to a multitude of neuroimaging-derived phenotypes. This complexity poses a dimensionality problem when attempting to chart an individual's brain development over time. Here, we illustrate that shifts in subject similarity of brain imaging data relate to pubertal maturation in the longitudinal ABCD study. Given that puberty depicts a critical window for emerging mental health issues, we additionally show that our model is capable of capturing variance in the adolescent brain related to psychopathology in a population-based and a clinical cohort. These results suggest that low-dimensional reference spaces based on subject similarities render useful to chart variance in brain development in youths.
Abstract Puberty demarks a period of profound brain dynamics that orchestrates changes to a multitude of neuroimaging-derived phenotypes. This complexity poses a dimensionality problem when attempting to chart an individual’s brain development over time. Here, we illustrate that shifts in subject similarity of brain imaging data relate to pubertal maturation in the longitudinal ABCD study. Given that puberty depicts a critical window for emerging mental health issues, we additionally show that our model is capable of capturing variance in the adolescent brain related to psychopathology in a population-based and a clinical cohort. These results suggest that low-dimensional reference spaces based on subject similarities render useful to chart variance in brain development in youths.
Puberty demarks a period of profound brain dynamics that orchestrates changes to a multitude of neuroimaging-derived phenotypes. This complexity poses a dimensionality problem when attempting to chart an individual’s brain development over time. Here, we illustrate that shifts in subject similarity of brain imaging data relate to pubertal maturation in the longitudinal ABCD study. Given that puberty depicts a critical window for emerging mental health issues, we additionally show that our model is capable of capturing variance in the adolescent brain related to psychopathology in a population-based and a clinical cohort. These results suggest that low-dimensional reference spaces based on subject similarities render useful to chart variance in brain development in youths. Charting variance in brain development across adolescence remains a challenge. Here, the authors show that domain adapted brain network fusion based on subject similarities in brain structure is associated with puberty and mental health in two independent cohorts.
Puberty demarks a period of profound brain dynamics that orchestrates changes to a multitude of neuroimaging-derived phenotypes. This complexity poses a dimensionality problem when attempting to chart an individual’s brain development over time. Here, we illustrate that shifts in subject similarity of brain imaging data relate to pubertal maturation in the longitudinal ABCD study. Given that puberty depicts a critical window for emerging mental health issues, we additionally show that our model is capable of capturing variance in the adolescent brain related to psychopathology in a population-based and a clinical cohort. These results suggest that low-dimensional reference spaces based on subject similarities render useful to chart variance in brain development in youths.Charting variance in brain development across adolescence remains a challenge. Here, the authors show that domain adapted brain network fusion based on subject similarities in brain structure is associated with puberty and mental health in two independent cohorts.
Puberty demarks a period of profound brain dynamics that orchestrates changes to a multitude of neuroimaging-derived phenotypes. This complexity poses a dimensionality problem when attempting to chart an individual’s brain development over time. Here, we illustrate that shifts in subject similarity of brain imaging data relate to pubertal maturation in the longitudinal ABCD study. Given that puberty depicts a critical window for emerging mental health issues, we additionally show that our model is capable of capturing variance in the adolescent brain related to psychopathology in a population-based and a clinical cohort. These results suggest that low-dimensional reference spaces based on subject similarities render useful to chart variance in brain development in youths.
ArticleNumber 6698
Author Kraft, Dominik
Kaufmann, Tobias
Alnæs, Dag
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  givenname: Dag
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  organization: Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Norwegian Centre for Mental Disorders Research, University of Oslo and Oslo University Hospital, German Center for Mental Health (DZPG), partner site Tübingen
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Snippet Puberty demarks a period of profound brain dynamics that orchestrates changes to a multitude of neuroimaging-derived phenotypes. This complexity poses a...
Abstract Puberty demarks a period of profound brain dynamics that orchestrates changes to a multitude of neuroimaging-derived phenotypes. This complexity poses...
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Humans
Longitudinal Studies
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Title Domain adapted brain network fusion captures variance related to pubertal brain development and mental health
URI https://link.springer.com/article/10.1038/s41467-023-41839-w
https://www.ncbi.nlm.nih.gov/pubmed/37872174
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Volume 14
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