% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Lotter:1031255,
      author       = {Lotter, Leon and Saberi, Amin and Hansen, Justine Y. and
                      Misic, Bratislav and Paquola, Casey and Barker, Gareth J.
                      and Bokde, Arun L. W. and Desrivières, Sylvane and Flor,
                      Herta and Grigis, Antoine and Garavan, Hugh and Gowland,
                      Penny and Heinz, Andreas and Brühl, Rüdiger and Martinot,
                      Jean-Luc and Paillère, Marie-Laure and Artiges, Eric and
                      Papadopoulos Orfanos, Dimitri and Paus, Tomáš and Poustka,
                      Luise and Hohmann, Sarah and Fröhner, Juliane H. and
                      Smolka, Michael N. and Vaidya, Nilakshi and Walter, Henrik
                      and Whelan, Robert and Schumann, Gunter and Nees, Frauke and
                      Banaschewski, Tobias and Eickhoff, Simon B. and Dukart,
                      Juergen},
      title        = {{R}egional patterns of human cortex development correlate
                      with underlying neurobiology},
      journal      = {Nature Communications},
      volume       = {15},
      number       = {1},
      issn         = {2041-1723},
      address      = {[London]},
      publisher    = {Nature Publishing Group UK},
      reportid     = {FZJ-2024-05633},
      pages        = {7987},
      year         = {2024},
      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.},
      cin          = {INM-7},
      ddc          = {500},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5253 - Neuroimaging (POF4-525) / 5251 - Multilevel Brain
                      Organization and Variability (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5253 / G:(DE-HGF)POF4-5251},
      typ          = {PUB:(DE-HGF)16},
      doi          = {10.1038/s41467-024-52366-7},
      url          = {https://juser.fz-juelich.de/record/1031255},
}