4.7 Article

Normative data for subcortical regional volumes over the lifetime of the adult human brain

Journal

NEUROIMAGE
Volume 137, Issue -, Pages 9-20

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2016.05.016

Keywords

Magnetic resonance imaging; Atrophy; Morphometry; Normality; Aging; Sex

Funding

  1. Alzheimer's Society of Canada [13-32]
  2. Canadian Foundation for Innovation [30469]
  3. Fonds de recherche du Quebec - Sante/Pfizer Canada Pfizer-FRQS Innovation Fund [25262]
  4. Canadian Institutes for Health Research [117121]
  5. NIMH [K23MH087770, R01MH081218, R01MH083246, R21MH084126]
  6. Leon Levy Foundation
  7. ADNI (National Institutes of Health Grant) [U01 AG024904]
  8. DOD ADNI (Department of Defense) [W81XWH-12-2-0012]
  9. National Institute on Aging
  10. National Institute of Biomedical Imaging and Bioengineering
  11. AbbVie
  12. Alzheimer's Association
  13. Alzheimer's Drug Discovery Foundation
  14. Araclon Biotech
  15. BioClinica, Inc.
  16. Biogen
  17. Bristol-Myers Squibb Company
  18. CereSpir, Inc.
  19. Eisai Inc.
  20. Elan Pharmaceuticals, Inc.
  21. Eli Lilly and Company
  22. EuroImmun
  23. F. Hoffmann-La Roche Ltd.
  24. Genentech, Inc.
  25. Fujirebio
  26. GE Healthcare
  27. IXICO Ltd.
  28. Janssen Alzheimer Immunotherapy Research & Development, LLC.
  29. Johnson & Johnson Pharmaceutical Research & Development LLC.
  30. Lumosity
  31. Lundbeck
  32. Merck Co., Inc.
  33. Meso Scale Diagnostics, LLC.
  34. NeuroRx Research
  35. Neurotrack Technologies
  36. Novartis Pharmaceuticals Corporation
  37. Pfizer Inc.
  38. Piramal Imaging
  39. Servier
  40. Takeda Pharmaceutical Company
  41. Transition Therapeutics
  42. Canadian Institutes of Health Research
  43. Commonwealth Scientific and Industrial Research Organisation (CSIRO)
  44. National Multiple Sclerosis Society
  45. National Institute of Health [COBRE: 1P20RR021938-01A2]
  46. NSF Grant [OCI-1131441]
  47. Biomedical Informatics Research Network [U24-RR021992]
  48. Dana Foundation
  49. John Douglas French Alzheimer's Foundation
  50. National Institutes of Health [AT005733, HD059205, HD057610, NS073498, NS058899]
  51. UK Alzheimer's Society [RF116]
  52. GlaxoSmithKline [6GKC]
  53. NIMH BRAINS [R01MH094639-01]
  54. New York State Office of Mental Health and Research Foundation for Mental Hygiene
  55. Child Mind Institute [1FDN2012-1]
  56. Center for the Developing Brain at the Child Mind Institute
  57. NKI Center for Advanced Brain Imaging (CABI)
  58. Brain Research Foundation
  59. Stavros Niarchos Foundation
  60. NIH [P50 MH086385-S1, R21NS061144, R01NS32979, R01HD057076, U54MH091657, K23DC006638, P50 MH71616, P60DK020579-31]
  61. OASIS project [P50 AG05681, P01 AG03991, R01 AG021910, P50 MH071616, U24 RR021382, R01 MH56584]
  62. McDonnell Foundation Collaborative Action Award
  63. NSF IGERT [DGE-0548890]
  64. Simon's Foundation Autism Research Initiative grant
  65. Burroughs Wellcome Fund
  66. Charles A. Dana Foundation
  67. Brooks Family Fund
  68. Tourette Syndrome Association
  69. Barnes-Jewish Hospital Foundation
  70. McDonnell Center for Systems Neuroscience
  71. Alvin J. Siteman Cancer Center
  72. American Hearing Research Foundation grant
  73. Diabetes Research and Training Center at Washington University grant
  74. Michael J. Fox Foundation for Parkinson's Research
  75. Avid Radiopharmaceuticals
  76. Biogen Idec
  77. Bristol-Myers
  78. Covance
  79. Genentech
  80. Merck
  81. Meso Scale Discovery
  82. Piramal
  83. Roche
  84. UCB
  85. Office of Naval Research (ONR) [N00014-07-1-0903]

Ask authors/readers for more resources

Normative data for volumetric estimates of brain structures are necessary to adequately assess brain volume alterations in individuals with suspected neurological or psychiatric conditions. Although many studies have described age and sex effects in healthy individuals for brain morphometry assessed via magnetic resonance imaging, proper normative values allowing to quantify potential brain abnormalities are needed. We developed norms for volumetric estimates of subcortical brain regions based on cross-sectional magnetic resonance scans from 2790 healthy individuals aged 18 to 94 years using 23 samples provided by 21 independent research groups. The segmentation was conducted using FreeSurfer, a widely used and freely available automated segmentation software. Models predicting subcortical regional volumes of each hemisphere were produced including age, sex, estimated total intracranial volume (eTIV), scanner manufacturer, magnetic field strength, and interactions as predictors. The mean explained variance by the models was 48%. For most regions, age, sex and eTIV predicted most of the explained variance while manufacturer, magnetic field strength and interactions predicted a limited amount. Estimates of the expected volumes of an individual based on its characteristics and the scanner characteristics can be obtained using derived formulas. For a new individual, significance test for volume abnormality, effect size and estimated percentage of the normative population with a smaller volume can be obtained. Normative values were validated in independent samples of healthy adults and in adults with Alzheimer's disease and schizophrenia. (C) 2016 Elsevier Inc. All rights reserved.

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