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Regional patterns of human cortex development correlate with underlying neurobiology

Author

Listed:
  • Leon D. Lotter

    (Research Centre Jülich
    Heinrich Heine University
    Max Planck School of Cognition; Stephanstrasse 1A)

  • Amin Saberi

    (Research Centre Jülich
    Heinrich Heine University
    Max Planck Institute for Human Cognitive and Brain Sciences)

  • Justine Y. Hansen

    (McGill University)

  • Bratislav Misic

    (McGill University)

  • Casey Paquola

    (Research Centre Jülich)

  • Gareth J. Barker

    (King’s College London)

  • Arun L. W. Bokde

    (Trinity College Dublin)

  • Sylvane Desrivières

    (King’s College London)

  • Herta Flor

    (Heidelberg University
    University of Mannheim)

  • Antoine Grigis

    (Université Paris-Saclay)

  • Hugh Garavan

    (University of Vermont)

  • Penny Gowland

    (University of Nottingham; University Park)

  • Andreas Heinz

    (and Berlin Institute of Health)

  • Rüdiger Brühl

    (Physikalisch-Technische Bundesanstalt (PTB); Braunschweig and Berlin)

  • Jean-Luc Martinot

    (INSERM U1299 “Trajectoires Développementales & Psychiatrie”; Centre Borelli)

  • Marie-Laure Paillère

    (INSERM U1299 “Trajectoires Développementales & Psychiatrie”; Centre Borelli
    Pitié-Salpêtrière Hospital)

  • Eric Artiges

    (INSERM U1299 “Trajectoires Développementales & Psychiatrie”; Centre Borelli
    EPS Barthélémy Durand)

  • Dimitri Papadopoulos Orfanos

    (Université Paris-Saclay)

  • Tomáš Paus

    (University of Montreal
    McGill University)

  • Luise Poustka

    (University Medical Centre Göttingen)

  • Sarah Hohmann

    (Heidelberg University)

  • Juliane H. Fröhner

    (Technische Universität Dresden)

  • Michael N. Smolka

    (Technische Universität Dresden)

  • Nilakshi Vaidya

    (Charité Universitätsmedizin Berlin)

  • Henrik Walter

    (and Berlin Institute of Health)

  • Robert Whelan

    (Trinity College Dublin)

  • Gunter Schumann

    (Charité Universitätsmedizin Berlin
    Fudan University)

  • Frauke Nees

    (Heidelberg University
    Heidelberg University
    University Medical Center Schleswig-Holstein, Kiel University)

  • Tobias Banaschewski

    (Heidelberg University
    partner site Mannheim-Heidelberg-Ulm)

  • Simon B. Eickhoff

    (Research Centre Jülich
    Heinrich Heine University)

  • Juergen Dukart

    (Research Centre Jülich
    Heinrich Heine University)

Abstract

Human brain morphology undergoes complex changes over the lifespan. Despite recent progress in tracking brain development via normative models, current knowledge of underlying biological mechanisms is highly limited. We demonstrate that human cortical thickness development and aging trajectories unfold along patterns of molecular and cellular brain organization, traceable from population-level to individual developmental trajectories. During childhood and adolescence, cortex-wide spatial distributions of dopaminergic receptors, inhibitory neurons, glial cell populations, and brain-metabolic features explain up to 50% of the variance associated with a lifespan model of regional cortical thickness trajectories. In contrast, modeled cortical thickness change patterns during adulthood are best explained by cholinergic and glutamatergic neurotransmitter receptor and transporter distributions. These relationships are supported by developmental gene expression trajectories and translate to individual longitudinal data from over 8000 adolescents, explaining up to 59% of developmental change at cohort- and 18% at single-subject level. Integrating neurobiological brain atlases with normative modeling and population neuroimaging provides a biologically meaningful path to understand brain development and aging in living humans.

Suggested Citation

  • Leon D. Lotter & Amin Saberi & Justine Y. Hansen & Bratislav Misic & Casey Paquola & Gareth J. Barker & Arun L. W. Bokde & Sylvane Desrivières & Herta Flor & Antoine Grigis & Hugh Garavan & Penny Gowl, 2024. "Regional patterns of human cortex development correlate with underlying neurobiology," Nature Communications, Nature, vol. 15(1), pages 1-21, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-52366-7
    DOI: 10.1038/s41467-024-52366-7
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    References listed on IDEAS

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