心理科学
心理科學
심이과학
Psychological Science
2015年
1期
216~220
,共null页
元分析 脑成像 激活似然性评估
元分析 腦成像 激活似然性評估
원분석 뇌성상 격활사연성평고
meta-analysis, brain imaging, Activation Likelihood Estimation
随着脑成像研究数量的增长,研究者迫切需要一种能够将众多研究进行整合的元分析方法。本文在简单回顾了以往脑成像元分析方法的基础上,介绍了激活似然性评估法(ALE)的操作实施、优势特征、更新完善,以及其发展与应用。该元分析方法将每一个激活的坐标看作一种分布的可能性,通过特定的算法与拟合获得激活似然值,最后,将不同文献汇聚计算而来的ALE值与虚无分布获得的ALE值进行对比,以确定激活的可能性分布。近十年来,激活似然性评估法几经修正,已被广泛运用于各领域元分析的研究中。
隨著腦成像研究數量的增長,研究者迫切需要一種能夠將衆多研究進行整閤的元分析方法。本文在簡單迴顧瞭以往腦成像元分析方法的基礎上,介紹瞭激活似然性評估法(ALE)的操作實施、優勢特徵、更新完善,以及其髮展與應用。該元分析方法將每一箇激活的坐標看作一種分佈的可能性,通過特定的算法與擬閤穫得激活似然值,最後,將不同文獻彙聚計算而來的ALE值與虛無分佈穫得的ALE值進行對比,以確定激活的可能性分佈。近十年來,激活似然性評估法幾經脩正,已被廣汎運用于各領域元分析的研究中。
수착뇌성상연구수량적증장,연구자박절수요일충능구장음다연구진행정합적원분석방법。본문재간단회고료이왕뇌성상원분석방법적기출상,개소료격활사연성평고법(ALE)적조작실시、우세특정、경신완선,이급기발전여응용。해원분석방법장매일개격활적좌표간작일충분포적가능성,통과특정적산법여의합획득격활사연치,최후,장불동문헌회취계산이래적ALE치여허무분포획득적ALE치진행대비,이학정격활적가능성분포。근십년래,격활사연성평고법궤경수정,이피엄범운용우각영역원분석적연구중。
With the increasing number of neuroimaging studies, researchers urgently need a way to compare and combine data from diverse studies. This article first reviews kinds of meta-analysis methods of brain imaging, and then introduces a coordinate-based technique which is widely used in neuroimaging studies - Activation Likelihood Estimation (ALE). The ALE meta-analysis involves modeling each activated focus as a possibility distribution rather than a single point, and then assesses the ALE value by empirical estimates. To differentiate true convergence of loci from random clustering, null hypothesis is applied to obtain an ALE null distribution with the same number of foci as in the real analysis. In recent years, with the development of brain imaging component analysis, the ALE meta-analysis also has benefited from it. Activation likelihood estimation has been revisited several times, and approved by most researchers. Two of the most important corrections are multiple comparisons and the change from "fixed-effects analysis" to "random-eflbcts analysis". The ALE has several advantages. Firstly, the ability of combining data from diverse studies is essential for building consensus across studies. Secondly, the use of a theoretically significant threshold provides means to defend the results statistically. Finally, it can be automated following extraction of relevant foci from the literature which can maximize the efficiency and objectivity. The ALE meta-analysis has been widely used in the field of functional neuroimaging in past decades. Nevertheless, we still need to realize that no matter how objective the ALE is, it is not the end but a new beginning.