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The midpoint of cortical thinning between late childhood and early adulthood differs between individuals and brain regions: Evidence from longitudinal modelling in a 12-wave neuroimaging sample.
Fuhrmann, D; Madsen, K S; Johansen, L B; Baaré, W F C; Kievit, R A.
Afiliação
  • Fuhrmann D; Department of Psychology, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, Great Maze Pond, London SE1 9RT, UK. Electronic address: delia.fuhrmann@kcl.ac.uk.
  • Madsen KS; Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Kettegaard Allé 30, Hvidovre 2650, Denmark; Radiography, Department of Technology, University College Copenhagen, Sigurdsgade 26, Copenhagen
  • Johansen LB; Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Kettegaard Allé 30, Hvidovre 2650, Denmark.
  • Baaré WFC; Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Kettegaard Allé 30, Hvidovre 2650, Denmark.
  • Kievit RA; Cognitive Neuroscience Department, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands.
Neuroimage ; 261: 119507, 2022 11 01.
Article em En | MEDLINE | ID: mdl-35882270
ABSTRACT
Charting human brain maturation between childhood and adulthood is a fundamental prerequisite for understanding the rapid biological and psychological changes during human development. Two barriers have precluded the quantification of maturational trajectories demands on data and demands on estimation. Using high-temporal resolution neuroimaging data of up to 12-waves in the HUBU cohort (N = 90, aged 7-21 years) we investigate changes in apparent cortical thickness across childhood and adolescence. Fitting a four-parameter logistic nonlinear random effects mixed model, we quantified the characteristic, s-shaped, trajectory of cortical thinning in adolescence. This approach yields biologically meaningful parameters, including the midpoint of cortical thinning (MCT), which corresponds to the age at which the cortex shows most rapid thinning - in our sample occurring, on average, at 14 years of age. These results show that, given suitable data and models, cortical maturation can be quantified with precision for each individual and brain region.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Córtex Cerebral / Afinamento Cortical Cerebral Tipo de estudo: Observational_studies / Prognostic_studies Limite: Adolescent / Adult / Child / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Córtex Cerebral / Afinamento Cortical Cerebral Tipo de estudo: Observational_studies / Prognostic_studies Limite: Adolescent / Adult / Child / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article