Format

Send to

Choose Destination
Neurobiol Aging. 2019 Sep;81:30-37. doi: 10.1016/j.neurobiolaging.2019.05.010. Epub 2019 May 22.

Lifespan normative data on rates of brain volume changes.

Author information

1
Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy.
2
Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam, the Netherlands.
3
Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam, the Netherlands; Institutes of Neurology and Healthcare Engineering, UCL London, UK; National Institute for Health Research (NIHR), University College London Hospitals (UCLH) Biomedical Research Centre (BRC), London, UK.
4
Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam, the Netherlands; Department of Physics and Medical Technology, VU University Medical Center, Amsterdam, the Netherlands.
5
Laboratory for Neuroimaging Research, Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
6
Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.
7
Department of Neurology, Medical University of Graz, Graz, Austria; Division of Neuroradiology, Vascular & Interventional Radiology, Department of Radiology, Medical University of Graz, Graz, Austria.
8
Department of Neurology, Medical University of Graz, Graz, Austria.
9
Queen Square Multiple Sclerosis Centre, UCL Institute of Neurology, University College, London, UK; National Institute for Health Research (NIHR), University College London Hospitals (UCLH) Biomedical Research Centre (BRC), London, UK.
10
Queen Square Multiple Sclerosis Centre, UCL Institute of Neurology, University College, London, UK; Brain MRI 3T, UK Research Center, C. Mondino National Neurological Institute, Pavia, Italy; Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy.
11
Queen Square Multiple Sclerosis Centre, UCL Institute of Neurology, University College, London, UK.
12
Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.
13
Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, University of Campania Luigi Vanvitelli, Naples, Italy.
14
Nuffield Department of Clinical Neurosciences, Oxford University Hospitals NHS Trust, University of Oxford, Oxford, UK.
15
CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
16
Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.
17
Department of Radiodiagnostics, First Faculty of Medicine Charles University and General University Hospital in Prague, Prague, Czech Republic.
18
Department of Neurosciences S Camillo Forlanini Hospital, Rome, Italy.
19
Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy. Electronic address: destefano@unisi.it.

Abstract

We provide here normative values of yearly percentage brain volume change (PBVC/y) as obtained with Structural Imaging Evaluation, using Normalization, of Atrophy, a widely used open-source software, developing a PBVC/y calculator for assessing the deviation from the expected PBVC/y in patients with neurological disorders. We assessed multicenter (34 centers, 11 acquisition protocols) magnetic resonance imaging data of 720 healthy participants covering the whole adult lifespan (16-90 years). Data of 421 participants with a follow-up > 6 months were used to obtain the normative values for PBVC/y and data of 392 participants with a follow-up <1 month were selected to assess the intrasubject variability of the brain volume measurement. A mixed model evaluated PBVC/y dependence on age, sex, and magnetic resonance imaging parameters (scan vendor and magnetic field strength). PBVC/y was associated with age (p < 0.001), with 60- to 70-year-old participants showing twice more volume decrease than participants aged 30-40 years. PBVC/y was also associated with magnetic field strength, with higher decreases when measured by 1.5T than 3T scanners (p < 0.001). The variability of PBVC/y normative percentiles was narrower as the interscan interval was longer (e.g., 80th normative percentile was 50% smaller for participants with 2-year than with 1-year follow-up). The use of these normative data, eased by the freely available calculator, might help in better discriminating pathological from physiological conditions in the clinical setting.

KEYWORDS:

Aging; Atrophy; Brain volume; MRI; Normative data

Supplemental Content

Full text links

Icon for Elsevier Science
Loading ...
Support Center