Brain Morphometrics Correlations With Age Among 350 Participants Imaged With Both 3T and 7T MRI: 7T Improves Statistical Power and Reduces Required Sample Size

IF 3.3 2区 医学 Q1 NEUROIMAGING
Cong Chu, Tales Santini, Jr-Jiun Liou, Ann D. Cohen, Pauline M. Maki, Anna L. Marsland, Rebecca C. Thurston, Peter J. Gianaros, Tamer S. Ibrahim
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引用次数: 0

Abstract

Magnetic resonance imaging (MRI) at 7T has a superior signal-to-noise ratio to 3T but also presents higher signal inhomogeneities and geometric distortions. A key knowledge gap is to robustly investigate the sensitivity and accuracy of 3T and 7T MRI in assessing brain morphometrics. This study aims to (a) aggregate a large number of paired 3T and 7T scans to evaluate their differences in quantitative brain morphological assessment using a widely available brain segmentation tool, FreeSurfer, as well as to (b) examine the impact of normalization methods for subject variability and smaller sample sizes on data analysis. A total of 401 healthy participants aged 29–68 were imaged at both 3T and 7T. Structural T1-weighted magnetization-prepared rapid gradient-echo (MPRAGE) images were processed and segmented using FreeSurfer. To account for head size variability, the brain volumes underwent intracranial volume (ICV) correction using the Residual (regression model) and Proportional (simple division to ICV) methods. The resulting volumes and thicknesses were correlated with age using Pearson's correlation and false discovery rate correction. The correlations were also calculated in increasing sample size from three to the whole sample to estimate the sample size required to detect aging-related brain variation. Three hundred and fifty subjects (208 females) passed the image quality control, with 51 subjects excluded due to excessive motion artifacts on 3T, 7T, or both. 7T MRI showed an overall stronger correlation between morphometrics and age and a larger number of significantly correlated brain volumes and cortical thicknesses. While the ICV is consistent between both field strengths, the Residual normalization method shows markedly higher correlation with age for 3T when compared with the Proportional normalization method. The 7T results are consistent regardless of the normalization method used. In a large cohort of healthy participants with paired 3T and 7T scans, we compared the statistical performance in assessing age-related brain morphological changes. Our study reaffirmed the inverse correlation between brain volumes and cortical thicknesses and age and highlighted varying correlations in different brain regions and normalization methods at 3T and 7T. 7T imaging significantly improves statistical power and thus reduces the required sample size.

Abstract Image

350名接受3T和7T MRI成像的参与者的脑形态测量学与年龄的相关性:7T提高了统计能力并减少了所需的样本量
磁共振成像(MRI)在7T时具有优于3T的信噪比,但也表现出更高的信号不均匀性和几何畸变。一个关键的知识缺口是强有力地研究3T和7T MRI在评估脑形态计量学方面的敏感性和准确性。本研究旨在(a)汇总大量配对的3T和7T扫描,使用广泛使用的脑分割工具FreeSurfer来评估它们在定量脑形态学评估中的差异,以及(b)检查归一化方法对受试者变异性和较小样本量对数据分析的影响。401名29-68岁的健康参与者在3T和7T上进行了成像。使用FreeSurfer对结构t1加权磁化制备的快速梯度回波(MPRAGE)图像进行处理和分割。为了解释头部大小的可变性,脑容量使用残差(回归模型)和比例(简单分割到ICV)方法进行颅内容积(ICV)校正。使用Pearson相关和错误发现率校正将结果体积和厚度与年龄相关联。在将样本量从三个增加到整个样本量时,也计算了相关性,以估计检测与衰老相关的大脑变异所需的样本量。350名受试者(208名女性)通过了图像质量控制,51名受试者因3T、7T或两者上的运动伪影过多而被排除在外。7T MRI显示形态计量学与年龄总体上有较强的相关性,大量脑体积和皮质厚度显著相关。虽然两种场强之间的ICV一致,但残差归一化方法与3T年龄的相关性明显高于比例归一化方法。无论使用何种归一化方法,7T结果都是一致的。在一组健康参与者的3T和7T配对扫描中,我们比较了评估与年龄相关的脑形态学变化的统计性能。我们的研究重申了脑容量与皮质厚度和年龄之间的负相关关系,并强调了不同脑区域之间的不同相关性以及在3T和7T时的归一化方法。7T成像显着提高了统计能力,从而减少了所需的样本量。
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来源期刊
Human Brain Mapping
Human Brain Mapping 医学-核医学
CiteScore
8.30
自引率
6.20%
发文量
401
审稿时长
3-6 weeks
期刊介绍: Human Brain Mapping publishes peer-reviewed basic, clinical, technical, and theoretical research in the interdisciplinary and rapidly expanding field of human brain mapping. The journal features research derived from non-invasive brain imaging modalities used to explore the spatial and temporal organization of the neural systems supporting human behavior. Imaging modalities of interest include positron emission tomography, event-related potentials, electro-and magnetoencephalography, magnetic resonance imaging, and single-photon emission tomography. Brain mapping research in both normal and clinical populations is encouraged. Article formats include Research Articles, Review Articles, Clinical Case Studies, and Technique, as well as Technological Developments, Theoretical Articles, and Synthetic Reviews. Technical advances, such as novel brain imaging methods, analyses for detecting or localizing neural activity, synergistic uses of multiple imaging modalities, and strategies for the design of behavioral paradigms and neural-systems modeling are of particular interest. The journal endorses the propagation of methodological standards and encourages database development in the field of human brain mapping.
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