基于坐标的神经影像数据荟萃分析。
The coordinate-based meta-analysis of neuroimaging data.
作者信息
Samartsidis Pantelis, Montagna Silvia, Nichols Thomas E, Johnson Timothy D
机构信息
MRC Biostatistics Unit, University Forvie Site, Robinson Way, Cambridge CB2 0SR, UK.
School of Mathematics, Statistics and Actuarial Science, University of Kent, Canterbury, CT2 7FS.
出版信息
Stat Sci. 2017;32(4):580-599. doi: 10.1214/17-STS624. Epub 2017 Nov 28.
Abstract
Neuroimaging meta-analysis is an area of growing interest in statistics. The special characteristics of neuroimaging data render classical meta-analysis methods inapplicable and therefore new methods have been developed. We review existing methodologies, explaining the benefits and drawbacks of each. A demonstration on a real dataset of emotion studies is included. We discuss some still-open problems in the field to highlight the need for future research.
摘要
神经影像学荟萃分析是统计学中一个越来越受关注的领域。神经影像学数据的特殊特征使得经典的荟萃分析方法不适用，因此已经开发了新的方法。我们回顾了现有的方法，解释了每种方法的优缺点。其中包括对一个真实情感研究数据集的演示。我们讨论了该领域一些仍未解决的问题，以突出未来研究的必要性。
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