Suppr超能文献

自动分割的人类海马结构亚区域的遗传力和可靠性

Heritability and reliability of automatically segmented human hippocampal formation subregions.

作者信息

Whelan Christopher D, Hibar Derrek P, van Velzen Laura S, Zannas Anthony S, Carrillo-Roa Tania, McMahon Katie, Prasad Gautam, Kelly Sinéad, Faskowitz Joshua, deZubiracay Greig, Iglesias Juan E, van Erp Theo G M, Frodl Thomas, Martin Nicholas G, Wright Margaret J, Jahanshad Neda, Schmaal Lianne, Sämann Philipp G, Thompson Paul M

机构信息

Imaging Genetics Center, University of Southern California, Marina del Rey, CA, USA.

Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center and GGZ inGeest, Amsterdam, The Netherlands.

出版信息

Neuroimage. 2016 Mar;128:125-137. doi: 10.1016/j.neuroimage.2015.12.039. Epub 2015 Dec 30.

Abstract

The human hippocampal formation can be divided into a set of cytoarchitecturally and functionally distinct subregions, involved in different aspects of memory formation. Neuroanatomical disruptions within these subregions are associated with several debilitating brain disorders including Alzheimer's disease, major depression, schizophrenia, and bipolar disorder. Multi-center brain imaging consortia, such as the Enhancing Neuro Imaging Genetics through Meta-Analysis (ENIGMA) consortium, are interested in studying disease effects on these subregions, and in the genetic factors that affect them. For large-scale studies, automated extraction and subsequent genomic association studies of these hippocampal subregion measures may provide additional insight. Here, we evaluated the test-retest reliability and transplatform reliability (1.5T versus 3T) of the subregion segmentation module in the FreeSurfer software package using three independent cohorts of healthy adults, one young (Queensland Twins Imaging Study, N=39), another elderly (Alzheimer's Disease Neuroimaging Initiative, ADNI-2, N=163) and another mixed cohort of healthy and depressed participants (Max Planck Institute, MPIP, N=598). We also investigated agreement between the most recent version of this algorithm (v6.0) and an older version (v5.3), again using the ADNI-2 and MPIP cohorts in addition to a sample from the Netherlands Study for Depression and Anxiety (NESDA) (N=221). Finally, we estimated the heritability (h(2)) of the segmented subregion volumes using the full sample of young, healthy QTIM twins (N=728). Test-retest reliability was high for all twelve subregions in the 3T ADNI-2 sample (intraclass correlation coefficient (ICC)=0.70-0.97) and moderate-to-high in the 4T QTIM sample (ICC=0.5-0.89). Transplatform reliability was strong for eleven of the twelve subregions (ICC=0.66-0.96); however, the hippocampal fissure was not consistently reconstructed across 1.5T and 3T field strengths (ICC=0.47-0.57). Between-version agreement was moderate for the hippocampal tail, subiculum and presubiculum (ICC=0.78-0.84; Dice Similarity Coefficient (DSC)=0.55-0.70), and poor for all other subregions (ICC=0.34-0.81; DSC=0.28-0.51). All hippocampal subregion volumes were highly heritable (h(2)=0.67-0.91). Our findings indicate that eleven of the twelve human hippocampal subregions segmented using FreeSurfer version 6.0 may serve as reliable and informative quantitative phenotypes for future multi-site imaging genetics initiatives such as those of the ENIGMA consortium.

摘要

人类海马结构可分为一组在细胞结构和功能上不同的亚区域,参与记忆形成的不同方面。这些亚区域内的神经解剖学破坏与包括阿尔茨海默病、重度抑郁症、精神分裂症和双相情感障碍在内的几种使人衰弱的脑部疾病有关。多中心脑成像联盟,如通过荟萃分析增强神经成像遗传学(ENIGMA)联盟,对研究疾病对这些亚区域的影响以及影响它们的遗传因素感兴趣。对于大规模研究,这些海马亚区域测量值的自动提取及随后的基因组关联研究可能会提供更多见解。在此,我们使用三组独立的健康成年人队列评估了FreeSurfer软件包中亚区域分割模块的重测信度和跨平台信度(1.5T与3T),一组是年轻人(昆士兰双胞胎成像研究,N = 39),另一组是老年人(阿尔茨海默病神经成像计划,ADNI - 2,N = 163),还有一组是健康与抑郁参与者的混合队列(马克斯·普朗克研究所,MPIP,N = 598)。我们还研究了该算法的最新版本(v6.0)与旧版本(v5.3)之间的一致性,除了来自荷兰抑郁与焦虑研究(NESDA)的样本(N = 221)外,再次使用了ADNI - 2和MPIP队列。最后,我们使用年轻、健康的QTIM双胞胎的完整样本(N = 728)估计了分割后的亚区域体积的遗传度(h(2))。3T的ADNI - 2样本中所有十二个亚区域的重测信度都很高(组内相关系数(ICC)= 0.70 - 0.97),4T的QTIM样本中为中度到高度(ICC = 0.5 - 0.89)。十二个亚区域中的十一个跨平台信度很强(ICC = 0.66 - 0.96);然而,海马裂在1.5T和3T场强下不能始终如一地重建(ICC = 0.47 - 0.57)。海马尾部、下托和前下托的版本间一致性为中度(ICC = 0.78 - 0.84;骰子相似系数(DSC)= 0.55 - 0.70),所有其他亚区域则较差(ICC = 0.34 - 0.81;DSC = 0.28 - 0.51)。所有海马亚区域体积都具有高度遗传性(h(2)= 0.67 - 0.91)。我们的研究结果表明,使用FreeSurfer 6.0版本分割的十二个人类海马亚区域中的十一个,可能作为未来多站点成像遗传学计划(如ENIGMA联盟的计划)的可靠且信息丰富的定量表型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7763/4883013/b28136544d0f/nihms770612f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验