NITRC News Group Forum: publication-bias-in-neuroimaging-research--implications-for-meta-analyses

NITRC News Group Forum: publication-bias-in-neuroimaging-research--implications-for-meta-analyses http://www.nitrc.org/forum/forum.php?forum_id=2350 <div class="Abstract" lang="en"><a name="Abs1"></a>Abstract  <div class="normal">Neuroimaging and the neurosciences have made notable advances in sharing activation results through detailed databases, making meta-analysis of the published research faster and easier. However, the effect of publication bias in these fields has not been previously addressed or accounted for in the developed meta-analytic methods. In this article, we examine publication bias in functional magnetic resonance imaging (fMRI) for tasks involving working memory in the frontal lobes (Brodmann Areas 4, 6, 8, 9, 10, 37, 45, 46, and 47). Seventy-four studies were selected from the literature and the effect of publication bias was examined using a number of regression-based techniques. Pearson’s r correlation coefficient and Cohen’s d effect size estimates were computed for the activation in each study and compared to the study sample size using Egger’s regression, Macaskill’s regression, and the ‘Trim and Fill’ method. Evidence for publication bias was identified in this body of literature (p < 0.01 for each test), generally, though was neither task- nor sub-region-dependent. While we focused our analysis on this subgroup of brain mapping studies, we believe our findings generalize to the brain imaging literature as a whole and databases seeking to curate their collective results. While neuroimaging databases of summary effects are of enormous value to the community, the potential publication bias should be considered when performing meta-analyses based on database contents. </div> </div><ul> <li>Content Type Journal Article</li><li>Category Original Article</li><li>Pages 1-14</li><li>DOI 10.1007/s12021-011-9125-y</li><li>Authors<ul> <li>Robin G. Jennings, Department of Biostatistics, University of California Los Angeles, 635 Charles Young Drive South, Suite 225, Los Angeles, CA 90095, USA</li><li>John D. Van Horn, Laboratory of Neuro Imaging (LONI), Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, 635 Charles Young Drive South, Suite 225, Los Angeles, CA 90095, USA</li> </ul></li> </ul><ul class="parents"> <ul class="details"> <li>Journal <a href="http://www.springerlink.com/content/120559/">Neuroinformatics</a></li><li>Online ISSN 1559-0089</li><li>Print ISSN 1539-2791</li> </ul> </ul> en-us Copyright 2000-2026 NITRC OSI Sun, 19 Apr 2026 23:26:02 GMT http://blogs.law.harvard.edu/tech/rss NITRC RSS generator