Potvin Olivier, Mouiha Abderazzak, Dieumegarde Louis, Duchesne Simon
Centre de recherche de l'Institut universitaire en santé mentale de Québec, 2601, de la Canardière, Québec G1J 2G3, Canada.
Centre de recherche de l'Institut universitaire en santé mentale de Québec, 2601, de la Canardière, Québec G1J 2G3, Canada; Département de radiologie, Université Laval, 1050, avenue de la Médecine, Québec G1V 0A6, Canada.
Neuroimage. 2016 Aug 15;137:9-20. doi: 10.1016/j.neuroimage.2016.05.016. Epub 2016 May 7.
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 94years 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.
对于怀疑患有神经或精神疾病的个体,脑结构容积估计的规范数据对于充分评估脑容量变化是必要的。尽管许多研究已经描述了通过磁共振成像评估的健康个体脑形态测量中的年龄和性别效应,但仍需要适当的规范值来量化潜在的脑异常。我们基于来自21个独立研究小组提供的23个样本中2790名年龄在18至94岁的健康个体的横断面磁共振扫描,制定了皮质下脑区容积估计的规范。分割使用FreeSurfer进行,这是一种广泛使用且免费的自动分割软件。建立了预测每个半球皮质下区域体积的模型,包括年龄、性别、估计的总颅内体积(eTIV)、扫描仪制造商、磁场强度以及作为预测因子的相互作用。模型解释的平均方差为48%。对于大多数区域,年龄、性别和eTIV预测了大部分解释方差,而制造商、磁场强度和相互作用预测的方差有限。可以使用推导公式根据个体特征和扫描仪特征获得个体预期体积的估计值。对于一个新个体,可以获得体积异常的显著性检验、效应大小以及体积较小的规范人群的估计百分比。规范值在健康成年人的独立样本以及患有阿尔茨海默病和精神分裂症的成年人中得到了验证。