ALE meta-analysis, its role in node identification and the effects on estimates of local network organization.

ABSTRACT: Functional connectivity analyses for task-based fMRI data are generally preceded by methods for identification of network nodes. As there is no general canonical approach to identifying network nodes, different identification techniques may exert different effects on inferences drawn regarding functional network properties. Here, we compared the impact of two different node identification techniques on estimates of local node importance (based on Degree Centrality, DC) in two working memory domains: verbal and visual. The two techniques compared were the commonly used Activation Likelihood Estimate (ALE) technique (with node locations based on data aggregation), against a hybrid technique, Experimentally Derived Estimation (EDE). In the latter, ALE was first used to isolate regions of inte

SUBMITTER: Falco D 

PROVIDER: S-EPMC7350634 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature