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Title: Brain‐age prediction: Systematic evaluation of site effects, and sample age range and size

Journal Article · · Human Brain Mapping
DOI: https://doi.org/10.1002/hbm.26768 · OSTI ID:2403582
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  1. Djavad Mowafaghian Centre for Brain Health, Department of Psychiatry University of British Columbia Vancouver British Columbia Canada
  2. Department of Psychiatry Icahn School of Medicine at Mount Sinai New York New York USA
  3. School of Population and Public Health University of British Columbia Vancouver British Columbia Canada
  4. Advanced Research Institute of Multidisciplinary Sciences, School of Medical Technology, School of Life Science Beijing Institute of Technology Beijing China
  5. Center for MRI Research Peking University Beijing China
  6. School of Psychology Southwest University Chongqing China
  7. Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology IRCCS Santa Lucia Foundation Rome Italy
  8. Department of Biological Psychology Vrije Universiteit Amsterdam Amsterdam The Netherlands
  9. Department of Psychiatry Indiana University School of Medicine Indianapolis Indiana USA
  10. Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine University of New South Wales Sydney New South Wales Australia
  11. Department of Psychology, Center for Brain Science Harvard University Boston Massachusetts USA, Department of Psychiatry, Massachusetts General Hospital Harvard Medical School Boston Massachusetts USA
  12. Department of Cognitive Neuroscience Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center Nijmegen The Netherlands
  13. Centre for Neuroimaging &, Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, Galway Neuroscience Centre College of Medicine Nursing and Health Sciences, University of Galway Galway Ireland
  14. Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences Cardiff University Cardiff UK
  15. Psychology Clinical Neuroscience Center, Department of Psychology University of New Mexico Albuquerque New Mexico USA
  16. Department of Psychiatry and Addiction Université de Montréal, CHU Ste Justine Montreal Quebec Canada
  17. Institut des Maladies Neurodégénératives Université de Bordeaux Bordeaux France
  18. Department of Psychology, Faculty of Social Sciences Leiden University Leiden The Netherlands, Erasmus School of Social and Behavioral Sciences Erasmus University Rotterdam Rotterdam The Netherlands
  19. Institute for Translational Psychiatry University of Münster Münster Germany
  20. Department of Psychiatry The University of Melbourne Melbourne Victoria Australia
  21. Department of Psychiatry Amsterdam UMC Amsterdam The Netherlands
  22. Faculty of Health, School of Psychology &, Counselling Queensland University of Technology Brisbane Queensland Australia
  23. Department of Mental Health and Addictions ASST Papa Giovanni XXIII Bergamo Italy
  24. Language and Genetics Department Max Planck Institute for Psycholinguistics Nijmegen The Netherlands, Donders Institute for Brain, Cognition and Behaviour Radboud University Nijmegen The Netherlands
  25. Donders Institute for Brain, Cognition and Behaviour Radboud University Nijmegen The Netherlands, Department of Cognitive Neuroscience Radboud University Medical Center Nijmegen The Netherlands, Department of Human Genetics Radboud University Medical Center Nijmegen The Netherlands
  26. Department of Psychiatry, Tommy Fuss Center for Neuropsychiatric Disease Research, Boston Children's Hospital Harvard Medical School Boston Massachusetts USA
  27. Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry Heidelberg University Heidelberg Germany
  28. Department of Psychiatry University of Pennsylvania Philadelphia Pennsylvania USA
  29. Brain and Mind Centre The University of Sydney Sydney New South Wales Australia
  30. Department of Psychiatry Icahn School of Medicine at Mount Sinai New York New York USA, Department of Psychology Utrecht University Utrecht The Netherlands, Department of Psychiatry University Medical Center Utrecht Utrecht The Netherlands
  31. Center for Human Development, Departments of Cognitive Science, Psychiatry, and Radiology University of California San Diego California USA
  32. Department of Radiology The Ohio State University College of Medicine Columbus Ohio USA
  33. West Region, Institute of Mental Health Singapore Singapore
  34. Department of Child and Adolescent Psychiatry and Psychology Hospital Clínic, IDIBAPS, CIBERSAM, University of Barcelona Barcelona Spain
  35. Department of Radiology and Imaging Sciences Indiana University School of Medicine Indianapolis Indiana USA
  36. School of Clinical Sciences, Centre for Biomedical Technologies Queensland University of Technology Brisbane Queensland Australia
  37. Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences The University of Texas Health Science Center at Houston Houston Texas USA
  38. McConnell Brain Imaging Centre McGill University Montreal Quebec Canada
  39. Department of Psychiatry CCM, Charite Universitaetsmedizin Berlin Berlin Germany, Centre for Population Neuroscience and Stratified Medicine (PONS), ISTBI Fudan University Shanghai China
  40. Department of Translational Biomedicine and Neuroscience University of Bari Aldo Moro Bari Italy
  41. Department of Psychiatry, Massachusetts General Hospital Harvard Medical School Boston Massachusetts USA, Center for Genomic Medicine Massachusetts General Hospital Boston Massachusetts USA, Center for Precision Psychiatry Massachusetts General Hospital Boston Massachusetts USA
  42. PROMENTA Research Center, Department of Psychology University of Oslo Oslo Norway
  43. Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine University of New South Wales Sydney New South Wales Australia, Department of Developmental Disability Neuropsychiatry, School of Clinical Medicine University of New South Wales Sydney New South Wales Australia
  44. Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin Corporate Member of FU Berlin and Humboldt Universität zu Berlin Berlin Germany
  45. Department of Radiology Medical College of Wisconsin Milwaukee Wisconsin USA
  46. Institute for Experimental Epileptology and Cognition Research University of Bonn and University Hospital Bonn Bonn Germany
  47. Department of Psychology, Faculty of Social Sciences Leiden University Leiden The Netherlands
  48. Department of Neuroimaging Institute of Psychiatry, Psychology and Neuroscience, King's College London London UK
  49. Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine University of Southern California Marina del Rey California USA
  50. Djavad Mowafaghian Centre for Brain Health, Department of Psychiatry University of British Columbia Vancouver British Columbia Canada, Department of Psychiatry Icahn School of Medicine at Mount Sinai New York New York USA
+ Show Author Affiliations

Abstract Structural neuroimaging data have been used to compute an estimate of the biological age of the brain (brain‐age) which has been associated with other biologically and behaviorally meaningful measures of brain development and aging. The ongoing research interest in brain‐age has highlighted the need for robust and publicly available brain‐age models pre‐trained on data from large samples of healthy individuals. To address this need we have previously released a developmental brain‐age model. Here we expand this work to develop, empirically validate, and disseminate a pre‐trained brain‐age model to cover most of the human lifespan. To achieve this, we selected the best‐performing model after systematically examining the impact of seven site harmonization strategies, age range, and sample size on brain‐age prediction in a discovery sample of brain morphometric measures from 35,683 healthy individuals (age range: 5–90 years; 53.59% female). The pre‐trained models were tested for cross‐dataset generalizability in an independent sample comprising 2101 healthy individuals (age range: 8–80 years; 55.35% female) and for longitudinal consistency in a further sample comprising 377 healthy individuals (age range: 9–25 years; 49.87% female). This empirical examination yielded the following findings: (1) the accuracy of age prediction from morphometry data was higher when no site harmonization was applied; (2) dividing the discovery sample into two age‐bins (5–40 and 40–90 years) provided a better balance between model accuracy and explained age variance than other alternatives; (3) model accuracy for brain‐age prediction plateaued at a sample size exceeding 1600 participants. These findings have been incorporated into CentileBrain ( https://centilebrain.org/#/brainAGE2 ), an open‐science, web‐based platform for individualized neuroimaging metrics.

Sponsoring Organization:
USDOE
Grant/Contract Number:
FG02-99ER62764
OSTI ID:
2403582
Journal Information:
Human Brain Mapping, Journal Name: Human Brain Mapping Journal Issue: 10 Vol. 45; ISSN 1065-9471
Publisher:
Wiley Blackwell (John Wiley & Sons)Copyright Statement
Country of Publication:
United States
Language:
English

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