| Literature DB >> 29545671 |
Pantelis Samartsidis1, Silvia Montagna2, Thomas E Nichols3, Timothy D Johnson4.
Abstract
Neuroimaging meta-analysis is an area of growing interest in statistics. The special characteristics of neuroimaging data render classical meta-analysis methods inapplicable and therefore new methods have been developed. We review existing methodologies, explaining the benefits and drawbacks of each. A demonstration on a real dataset of emotion studies is included. We discuss some still-open problems in the field to highlight the need for future research.Entities:
Keywords: functional magnetic resonance imaging; meta-analysis; neuroimaging
Year: 2017 PMID: 29545671 PMCID: PMC5849270 DOI: 10.1214/17-STS624
Source DB: PubMed Journal: Stat Sci ISSN: 0883-4237 Impact factor: 2.901