心理科学进展Issue(7)：1118-1129,12.DOI:10.3724/SP.J.1042.2015.01118
神经成像数据的元分析
Meta-analysis of Neuroimaging Studies
摘要
Abstract
With increasing popularity of high resolution neuroimaging techniques, such as functional magnetic resonance imaging (fMRI) and position emission computerized tomography (PET), a large number of neuroimaging studies have been accumulated in the last two decades.These new data brought both opportunities and challenges for cognitive neuroscientists,enabling them to generate and examine new hypotheses. Given the main goal of neuroimaging is to explore the relationship between cognitive processes and corresponding locations in brain, coordinate-based meta-analysis become the dominant method for neuroimaging data. One such method, activation likelihood estimation (ALE), is the most widely used, because of its methodological superiority and usability. The current review first introduced basic principles of ALE method. Next, the two most common approaches of conducting meta-analysis of neuroimaging data were discussed:finding consistency across studies and finding modulators of brain activations. Furthermore, the newly emerged meta-analytic connectivity modeling (MACM), which used the meta-analysis to explore the functional connectivity of the brain, was illustrated using recent studies. Finally, the current review discussed several directions in the field of meta-analysis of neuroimaging data.关键词
神经成像/元分析/ALE/脑连通性元分析模型Key words
Neuroimaging/meta-analysis/ALE/MACM分类
社会科学引用本文复制引用
胡传鹏,邸新,李佳蔚,隋洁,彭凯平..神经成像数据的元分析[J].心理科学进展,2015,(7):1118-1129,12.基金项目
国家自然科学基金项目(31371017/31471001)资助。 （31371017/31471001）
