Harmonization of Multi-site Cortical Data Across the Human Lifespan.
Harmonization of Multi-site Cortical Data Across the Human Lifespan.
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人类一生中多部位皮质数据的协调。
DOI：
10.1007/978-3-031-21014-3_23
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Yap,Pew-Thian
中科院分区：
文献类型：
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作者：
Ahmad,Sahar;Nan,Fang;Wu,Ye;Wu,Zhengwang;Lin,Weili;Wang,Li;Li,Gang;Wu,Di;Yap,Pew-Thian
神经影像学数据协调已成为综合数据分析的先决条件，用于标准化从多项研究中收集的各种数据，并实现跨学科研究。缺乏标准化的图像采集和计算程序会在多位点数据中引入非生物变异性和不一致性，使下游统计分析复杂化。在这里，我们提出了一种新的统计技术，回顾性地协调多站点皮质数据收集纵向和横截面之间的出生和100年。我们证明，我们的方法可以有效地消除皮质厚度和髓鞘形成测量的非生物差异，同时保留整个生命周期的生物学变异。我们的协调方法将通过提供调查发育和衰老过程所需的可比数据来促进大规模的人口研究。
Neuroimaging data harmonization has become a prerequisite in integrative data analytics for standardizing a wide variety of data collected from multiple studies and enabling interdisciplinary research. The lack of standardized image acquisition and computational procedures introduces non-biological variability and inconsistency in multi-site data, complicating downstream statistical analyses. Here, we propose a novel statistical technique to retrospectively harmonize multi-site cortical data collected longitudinally and cross-sectionally between birth and 100 years. We demonstrate that our method can effectively eliminate non-biological disparities from cortical thickness and myelination measurements, while preserving biological variation across the entire lifespan. Our harmonization method will foster large-scale population studies by providing comparable data required for investigating developmental and aging processes.