Ethel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology, University of Southern California, 3715 McClintock Avenue, Los Angeles, CA, 90089, USA.
Denney Research Center, Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, 1042 Downey Way, Los Angeles, CA, 90089, USA.
Neuroinformatics. 2021 Apr;19(2):347-366. doi: 10.1007/s12021-020-09480-w.
Accurate knowledge of adult human brain volume (BV) is critical for studies of aging- and disease-related brain alterations, and for monitoring the trajectories of neural and cognitive functions in conditions like Alzheimer's disease and traumatic brain injury. This scoping meta-analysis aggregates normative reference values for BV and three related volumetrics-gray matter volume (GMV), white matter volume (WMV) and cerebrospinal fluid volume (CSFV)-from typically-aging adults studied cross-sectionally using magnetic resonance imaging (MRI). Drawing from an aggregate sample of 9473 adults, this study provides (A) regression coefficients β describing the age-dependent trajectories of volumetric measures by sex within the range from 20 to 70 years based on both linear and quadratic models, and (B) average values for BV, GMV, WMV and CSFV at the representative ages of 20 (young age), 45 (middle age) and 70 (old age). The results provided synthesize ~20 years of brain volumetrics research and allow one to estimate BV at any age between 20 and 70. Importantly, however, such estimates should be used and interpreted with caution because they depend on MRI hardware specifications (e.g. scanner manufacturer, magnetic field strength), data acquisition parameters (e.g. spatial resolution, weighting), and brain segmentation algorithms. Guidelines are proposed to facilitate future meta- and mega-analyses of brain volumetrics.
准确了解成人脑容量 (BV) 对于研究与衰老和疾病相关的大脑变化,以及监测阿尔茨海默病和创伤性脑损伤等情况下的神经和认知功能轨迹至关重要。这项范围性元分析汇总了使用磁共振成像 (MRI) 进行横断面研究的典型成年人的 BV 和三个相关体积测量值(灰质体积 [GMV]、白质体积 [WMV] 和脑脊液体积 [CSFV])的标准参考值。该研究从一个由 9473 名成年人组成的综合样本中得出(A)描述了基于线性和二次模型的男性在 20 至 70 岁范围内体积测量值随年龄变化的轨迹的回归系数 β,以及(B)在 20 岁(年轻)、45 岁(中年)和 70 岁(老年)等代表性年龄的 BV、GMV、WMV 和 CSFV 的平均值。结果综合了大约 20 年的脑体积研究,使人们能够估算 20 至 70 岁之间的任何年龄的 BV。然而,重要的是,由于这些估算值取决于 MRI 硬件规格(例如,扫描仪制造商、磁场强度)、数据采集参数(例如,空间分辨率、加权)和大脑分割算法,因此应该谨慎使用和解释这些估算值。为了促进未来的脑体积元分析和 mega 分析,提出了一些指南。