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Human cortex development is shaped by molecular and cellular brain systems

  • IMAGEN Consortium
  • Jülich Research Centre
  • Heinrich Heine University
  • Max Planck School of Cognition
  • Max Planck Institute for Human Cognitive and Brain Sciences
  • Freie Universität Berlin
  • Humboldt University of Berlin
  • Berlin Institute of Health
  • Ecole Normale Supérieure Paris-Saclay
  • AP-HP, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
  • University of Toronto
  • Charité University of Medicine Berlin
  • Trinity College Dublin
  • McGill University
  • Universitatsklinikum Mannheim
  • Heidelberg University
  • Neurospin, Commissariat Energie Atom
  • Université Paris-Saclay
  • University of Vermont
  • University of Nottingham
  • Physikalisch-Technische Bundesanstalt
  • Etablissement Public de Santé (EPS) Barthélemy Durand
  • University of Montreal
  • University Medical Center Göttingen
  • TU Dresden
  • Research Center Jülich

Research output: Working paper/PreprintPreprint

Abstract

Human brain morphology undergoes complex developmental changes with diverse regional
trajectories. Various biological factors influence cortical thickness development, but human data
are scarce. Building on methodological advances in neuroimaging of large cohorts, we show that
population-based developmental trajectories of cortical thickness unfold along patterns of
molecular and cellular brain organization. During childhood and adolescence, distributions of
dopaminergic receptors, inhibitory neurons, glial cell populations as well as features of brain
metabolism explain up to 50% of variance associated with regional cortical thickness trajectories.
Cortical maturation patterns in later life are best explained by distributions of cholinergic and
glutamatergic systems. These observations are validated in longitudinal data from over 8,000
adolescents, explaining up to 59% of developmental change at population- and 18% at singlesubject
level. Integrating multilevel brain atlases with normative modeling and population
neuroimaging provides a biologically and clinically meaningful path to understand typical and
atypical brain development in living humans.
Original languageEnglish
PublisherbioRxiv
DOIs
Publication statusE-pub ahead of print - 10 Aug 2024

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