NeuroQuery, comprehensive meta-analysis of human brain mapping.
Ontology highlight
ABSTRACT: Reaching a global view of brain organization requires assembling evidence on widely different mental processes and mechanisms. The variety of human neuroscience concepts and terminology poses a fundamental challenge to relating brain imaging results across the scientific literature. Existing meta-analysis methods perform statistical tests on sets of publications associated with a particular concept. Thus, large-scale meta-analyses only tackle single terms that occur frequently. We propose a new paradigm, focusing on prediction rather than inference. Our multivariate model predicts the spatial distribution of neurological observations, given text describing an experiment, cognitive process, or disease. This approach handles text of arbitrary length and terms that are too rare for standard m
SUBMITTER: Dockes J
PROVIDER: S-EPMC7164961 | biostudies-literature | 2020 Mar
REPOSITORIES: biostudies-literature
ACCESS DATA