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Lifespan normative data on rates of brain volume changes
Battaglini, Marco1; Gentile, Giordano1; Luchetti, Ludovico1; Giorgio, Antonio1; Vrenken, Hugo2; Barkhof, Frederik2,3,4,5; Cover, Keith S.2,6; Bakshi, Rohit7; Chu, Renxin7; Sormani, Maria Pia8; Enzinger, Christian9,10; Ropele, Stefan9; Ciccarelli, Olga5,11; Wheeler-Kingshott, Claudia11,12,13; Yiannakas, Marios11; Filippi, Massimo14; Rocca, Maria Assunta14; Preziosa, Paolo14; Gallo, Antonio15; Bisecco, Alvino15; Palace, Jacqueline16; Kong, Yazhuo17,18; Horakova, Dana19,20,21; Vaneckova, Manuela21,22; Gasperini, Claudio23; Ruggieri, Serena23; De Stefano, Nicola1
第一作者Marco Battaglini
通讯作者邮箱destefano@unisi.it (n. de stefano)
摘要

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. (C) 2019 Published by Elsevier Inc.

关键词Normative data Atrophy Aging MRI Brain volume
2019-09-01
语种英语
DOI10.1016/j.neurobiolaging.2019.05.010
发表期刊NEUROBIOLOGY OF AGING
ISSN0197-4580
卷号81页码:30-37
期刊论文类型article
收录类别SCI
资助项目National Institute for Health Research University College London Hospitals Biomedical Research Centre, UK
出版者ELSEVIER SCIENCE INC
WOS关键词CLINICAL-RELEVANCE ; ATROPHY ; MRI ; DIAGNOSIS ; ROBUST ; GRAY
WOS研究方向Geriatrics & Gerontology ; Neurosciences & Neurology
WOS类目Geriatrics & Gerontology ; Neurosciences
WOS记录号WOS:000484435300004
资助机构National Institute for Health Research University College London Hospitals Biomedical Research Centre, UK
引用统计
被引频次:32[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.psych.ac.cn/handle/311026/29815
专题中国科学院行为科学重点实验室
通讯作者De Stefano, Nicola
作者单位1.Univ Siena, Dept Med Surg & Neurosci, Viale Bracci 2, I-53100 Siena, Italy
2.MS Ctr Amsterdam, Dept Radiol & Nucl Med, Amsterdam, Netherlands
3.UCL London, Inst Neurol, London, England
4.UCL London, Inst Healthcare Engn, London, England
5.UCLH, BRC, NIHR, London, England
6.Vrije Univ Amsterdam, Dept Phys & Med Technol, Med Ctr, Amsterdam, Netherlands
7.Harvard Med Sch, Brigham & Womens Hosp, Ann Romney Ctr Neurol Dis, Lab Neuroimaging Res, Boston, MA 02115 USA
8.Univ Genoa, Dept Hlth Sci DISSAL, Genoa, Italy
9.Med Univ Graz, Dept Neurol, Graz, Austria
10.Med Univ Graz, Dept Radiol, Div Neuroradiol Vasc & Intervent Radiol, Graz, Austria
11.UCL, UCL Inst Neurol, Queen Sq Multiple Sclerosis Ctr, London, England
12.C Mondino Natl Neurol Inst, UK Res Ctr, Brain MRI 3T, Pavia, Italy
13.Univ Pavia, Dept Brain & Behav Sci, Pavia, Italy
14.Univ Vita Salute San Raffaele, San Raffaele Sci Inst, Div Neurosci, Neuroimaging Res Unit,Inst Expt Neurol, Milan, Italy
15.Univ Campania Luigi Vanvitelli, Dept Med Surg Neurol Metab & Aging Sci, Naples, Italy
16.Univ Oxford, Oxford Univ Hosp NHS Trust, Nuffield Dept Clin Neurosci, Oxford, England
17.Inst Psychol, CAS Key Lab Behav Sci, Beijing, Peoples R China
18.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China
19.Charles Univ Prague, Fac Med 1, Dept Neurol, Prague, Czech Republic
20.Charles Univ Prague, Fac Med 1, Ctr Clin Neurosci, Prague, Czech Republic
21.Gen Univ Hosp Prague, Prague, Czech Republic
22.Charles Univ Prague, Fac Med 1, Dept Radiodiagnost, Prague, Czech Republic
23.S Camillo Forlanini Hosp, Dept Neurosci, Rome, Italy
推荐引用方式
GB/T 7714
Battaglini, Marco,Gentile, Giordano,Luchetti, Ludovico,et al. Lifespan normative data on rates of brain volume changes[J]. NEUROBIOLOGY OF AGING,2019,81:30-37.
APA Battaglini, Marco.,Gentile, Giordano.,Luchetti, Ludovico.,Giorgio, Antonio.,Vrenken, Hugo.,...&De Stefano, Nicola.(2019).Lifespan normative data on rates of brain volume changes.NEUROBIOLOGY OF AGING,81,30-37.
MLA Battaglini, Marco,et al."Lifespan normative data on rates of brain volume changes".NEUROBIOLOGY OF AGING 81(2019):30-37.
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