Coordinate-based activation likelihood estimation meta-analysis of neuroimaging data: a random-effects approach based on empirical estimates of spatial uncertainty.
Coordinate-based activation likelihood estimation meta-analysis of neuroimaging data: a random-effects approach based on empirical estimates of spatial uncertainty.
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DOI：
10.1002/hbm.20718
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发表时间：
2009-09
影响因子：
4.8
通讯作者：
Fox, Peter T.
中科院分区：
文献类型：
--
作者：
Eickhoff, Simon B.;Laird, Angela R.;Grefkes, Christian;Wang, Ling E.;Zilles, Karl;Fox, Peter T.
基于坐标的神经影像数据元分析中一种广泛使用的技术是激活似然估计（ALE）。ALE通过将焦点建模为以各自坐标为中心的概率分布来评估焦点之间的重叠。在此我们提出一种改进的ALE算法，以解决与先前实施相关的缺陷：
第一个改变涉及概率分布的大小，此前这必须由使用者指定。为提供一个更有原则的解决方案，我们分析了21名受试者的功能性磁共振成像（fMRI）数据，使用九种不同方法将每个人的数据都归一化到蒙特利尔神经学研究所（MNI）空间。该分析对16个功能定义区域的受试者间和模板间变异性进行了定量估计，然后用于明确地对每个报告坐标相关的空间不确定性进行建模。其次，改进后的算法不是检测焦点之间高于随机水平的聚类，而是评估实验之间高于随机水平的聚类。现在假定给定实验中焦点之间的空间关系是固定的，并且ALE结果是根据实验之间随机空间关联的零分布来评估的。关键的是，这种修改使得ALE分析从固定效应推断转变为随机效应推断，从而允许将结果推广到所分析的整个研究群体。
通过对真实数据和模拟数据的比较分析，我们表明改进后的ALE算法克服了先前元分析的概念性问题，在不损失原始方法敏感性的情况下提高了后续结果的特异性。因此，它可能为基于坐标的功能成像数据元分析提供一种方法上改进的工具。
A widely used technique for coordinate-based meta-analyses of neuroimaging data is activation likelihood estimation (ALE). ALE assesses the overlap between foci based on modelling them as probability distributions centred at the respective coordinates. Here we present a revised ALE algorithm addressing drawbacks associated with former implementations: The first change pertains to the size of the probability distributions, which had to be specified by the used. To provide a more principled solution, we analysed fMRI data of 21 subjects, each normalised into MNI space using nine different approaches. This analysis provided quantitative estimates of between-subject and between-template variability for 16 functionally defined regions, which were then used to explicitly model the spatial uncertainty associated with each reported coordinate. Secondly, instead of testing for an above-chance clustering between foci, the revised algorithm assesses above-chance clustering between experiments. The spatial relationship between foci in a given experiment is now assumed to be fixed and ALE results are assessed against a null-distribution of random spatial association between experiments. Critically, this modification entails a change from fixed- to random-effects inference in ALE analysis allowing generalisation of the results to the entire population of studies analysed. By comparative analysis of real and simulated data, we showed that the revised ALE-algorithm overcomes conceptual problems of former meta-analyses and increases the specificity of the ensuing results without loosing the sensitivity of the original approach. It may thus provide a methodologically improved tool for coordinate-based meta-analyses on functional imaging data.
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DOI：
10.1073/pnas.83.4.1140
发表时间：
1986-02-01
影响因子：
11.1
作者：
FOX, PT;RAICHLE, ME
通讯作者：
RAICHLE, ME
影响因子：
14.5
作者：
Catalan, MJ;Honda, M;Hallett, M
通讯作者：
Hallett, M
影响因子：
14.5
作者：
Catalan, MJ;Ishii, K;Hallett, M
通讯作者：
Hallett, M
影响因子：
2.5
作者：
COLEBATCH, JG;DEIBER, MP;FRACKOWIAK, RSJ
通讯作者：
FRACKOWIAK, RSJ
影响因子：
3.1
作者：
Caspers, Svenja;Eickhoff, Simon B.;Amunts, Katrin
通讯作者：
Amunts, Katrin