MAPBOT: Meta-analytic parcellation based on text, and its application to the human thalamus.

ABSTRACT: Meta-analysis of neuroimaging results has proven to be a popular and valuable method to study human brain functions. A number of studies have used meta-analysis to parcellate distinct brain regions. A popular way to perform meta-analysis is typically based on the reported activation coordinates from a number of published papers. However, in addition to the coordinates associated with the different brain regions, the text itself contains considerably amount of additional information. This textual information has been largely ignored in meta-analyses where it may be useful for simultaneously parcellating brain regions and studying their characteristics. By leveraging recent advances in document clustering techniques, we introduce an approach to parcellate the brain into meaningful regions pr

SUBMITTER: Yuan R 

PROVIDER: S-EPMC6474778 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature