PMC:4428493 / 13157-13860 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/4428493","sourcedb":"PMC","sourceid":"4428493","source_url":"https://www.ncbi.nlm.nih.gov/pmc/4428493","text":"Activation likelihood estimation meta-analysis applies a statistical modeling technique (32) that uses reported brain coordinates and adjusts for between-subject and between-template variance to generate a 3-dimensional Gaussian kernel. Subsequently, a modeled activation (MA) map is created and individual maps are combined to generate an experimental ALE map. The experimental map is tested against an ALE null distribution map, representing the null hypothesis that there is random variation between activation across the meta-analyzed studies, when the within-study variation remains fixed. A random-effects model is applied, which assumes convergence between different studies that is above chance.","tracks":[{"project":"0_colil","denotations":[{"id":"25988110-19172646-908348","span":{"begin":89,"end":91},"obj":"19172646"}],"attributes":[{"subj":"25988110-19172646-908348","pred":"source","obj":"0_colil"}]},{"project":"2_test","denotations":[{"id":"25988110-19172646-38724275","span":{"begin":89,"end":91},"obj":"19172646"}],"attributes":[{"subj":"25988110-19172646-38724275","pred":"source","obj":"2_test"}]}],"config":{"attribute types":[{"pred":"source","value type":"selection","values":[{"id":"0_colil","color":"#e3ec93","default":true},{"id":"2_test","color":"#db93ec"}]}]}}