Journal
NEUROIMAGE
Volume 137, Issue -, Pages 9-20Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2016.05.016
Keywords
Magnetic resonance imaging; Atrophy; Morphometry; Normality; Aging; Sex
Funding
- Alzheimer's Society of Canada [13-32]
- Canadian Foundation for Innovation [30469]
- Fonds de recherche du Quebec - Sante/Pfizer Canada Pfizer-FRQS Innovation Fund [25262]
- Canadian Institutes for Health Research [117121]
- NIMH [K23MH087770, R01MH081218, R01MH083246, R21MH084126]
- Leon Levy Foundation
- ADNI (National Institutes of Health Grant) [U01 AG024904]
- DOD ADNI (Department of Defense) [W81XWH-12-2-0012]
- National Institute on Aging
- National Institute of Biomedical Imaging and Bioengineering
- AbbVie
- Alzheimer's Association
- Alzheimer's Drug Discovery Foundation
- Araclon Biotech
- BioClinica, Inc.
- Biogen
- Bristol-Myers Squibb Company
- CereSpir, Inc.
- Eisai Inc.
- Elan Pharmaceuticals, Inc.
- Eli Lilly and Company
- EuroImmun
- F. Hoffmann-La Roche Ltd.
- Genentech, Inc.
- Fujirebio
- GE Healthcare
- IXICO Ltd.
- Janssen Alzheimer Immunotherapy Research & Development, LLC.
- Johnson & Johnson Pharmaceutical Research & Development LLC.
- Lumosity
- Lundbeck
- Merck Co., Inc.
- Meso Scale Diagnostics, LLC.
- NeuroRx Research
- Neurotrack Technologies
- Novartis Pharmaceuticals Corporation
- Pfizer Inc.
- Piramal Imaging
- Servier
- Takeda Pharmaceutical Company
- Transition Therapeutics
- Canadian Institutes of Health Research
- Commonwealth Scientific and Industrial Research Organisation (CSIRO)
- National Multiple Sclerosis Society
- National Institute of Health [COBRE: 1P20RR021938-01A2]
- NSF Grant [OCI-1131441]
- Biomedical Informatics Research Network [U24-RR021992]
- Dana Foundation
- John Douglas French Alzheimer's Foundation
- National Institutes of Health [AT005733, HD059205, HD057610, NS073498, NS058899]
- UK Alzheimer's Society [RF116]
- GlaxoSmithKline [6GKC]
- NIMH BRAINS [R01MH094639-01]
- New York State Office of Mental Health and Research Foundation for Mental Hygiene
- Child Mind Institute [1FDN2012-1]
- Center for the Developing Brain at the Child Mind Institute
- NKI Center for Advanced Brain Imaging (CABI)
- Brain Research Foundation
- Stavros Niarchos Foundation
- NIH [P50 MH086385-S1, R21NS061144, R01NS32979, R01HD057076, U54MH091657, K23DC006638, P50 MH71616, P60DK020579-31]
- OASIS project [P50 AG05681, P01 AG03991, R01 AG021910, P50 MH071616, U24 RR021382, R01 MH56584]
- McDonnell Foundation Collaborative Action Award
- NSF IGERT [DGE-0548890]
- Simon's Foundation Autism Research Initiative grant
- Burroughs Wellcome Fund
- Charles A. Dana Foundation
- Brooks Family Fund
- Tourette Syndrome Association
- Barnes-Jewish Hospital Foundation
- McDonnell Center for Systems Neuroscience
- Alvin J. Siteman Cancer Center
- American Hearing Research Foundation grant
- Diabetes Research and Training Center at Washington University grant
- Michael J. Fox Foundation for Parkinson's Research
- Avid Radiopharmaceuticals
- Biogen Idec
- Bristol-Myers
- Covance
- Genentech
- Merck
- Meso Scale Discovery
- Piramal
- Roche
- UCB
- 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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