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The effects of intracranial volume adjustment approaches on multiple regional MRI volumes in healthy aging and Alzheimers disease

机译:颅内容积调节方法对健康衰老和阿尔茨海默病中多个区域MRI容积的影响

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摘要

In neurodegeneration research, normalization of regional volumes by intracranial volume (ICV) is important to estimate the extent of disease-driven atrophy. There is little agreement as to whether raw volumes, volume-to-ICV fractions or regional volumes from which the ICV factor has been regressed out should be used for volumetric brain imaging studies. Using multiple regional cortical and subcortical volumetric measures generated by Freesurfer (51 in total), the main aim of this study was to elucidate the implications of these adjustment approaches. Magnetic resonance imaging (MRI) data were analyzed from two large cohorts, the population-based PIVUS cohort (N = 406, all subjects age 75) and the Alzheimer disease Neuroimaging Initiative (ADNI) cohort (N = 724). Further, we studied whether the chosen ICV normalization approach influenced the relationship between hippocampus and cognition in the three diagnostic groups of the ADNI cohort (Alzheimer's disease, mild cognitive impairment, and healthy individuals). The ability of raw vs. adjusted hippocampal volumes to predict diagnostic status was also assessed. In both cohorts raw volumes correlate positively with ICV, but do not scale directly proportionally with it. The correlation direction is reversed for all volume-to-ICV fractions, except the lateral and third ventricles. Most gray matter fractions are larger in females, while lateral ventricle fractions are greater in males. Residual correction effectively eliminated the correlation between the regional volumes and ICV and removed gender differences. The association between hippocampal volumes and cognition was not altered by ICV normalization. Comparing prediction of diagnostic status using the different approaches, small but significant differences were found. The choice of normalization approach should be carefully considered when designing a volumetric brain imaging study.
机译:在神经退行性疾病研究中,通过颅内容积(ICV)对区域容积进行正常化对于评估疾病引起的萎缩程度非常重要。关于是否应将原始体积,ICV因子从中消退的原始体积,体积与ICV的比例或区域体积进行体积脑成像研究,几乎没有共识。使用Freesurfer产生的多个区域皮层和皮层下体积测量(总共51个),本研究的主要目的是阐明这些调整方法的含义。磁共振成像(MRI)数据来自两个大型队列,即以人群为基础的PIVUS队列(N = 406,所有受试者均年龄75岁)和阿尔茨海默氏病神经影像计划(ADNI)队列(N = 724)。此外,我们研究了所选的ICV标准化方法是否会影响ADNI队列的三个诊断组(阿尔茨海默氏病,轻度认知障碍和健康个体)中海马体与认知之间的关系。还评估了原始海马体积与调整后海马体积预测诊断状态的能力。在这两个队列中,原始量与ICV呈正相关,但未与ICV成正比。除侧脑室和第三脑室外,所有体积与ICV的比例的相关方向都相反。女性的大多数灰质分数较大,而男性的侧脑室分数较大。残差校正有效地消除了地区数量与ICV之间的相关性,并消除了性别差异。 ICV正常化未改变海马体积与认知之间的关联。比较使用不同方法的诊断状态预测,发现很小但很明显的差异。设计体积脑成像研究时,应仔细考虑归一化方法的选择。

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