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Adjusting for Variable Brain Coverage in Voxel-Based fMRI Meta-Analysis

View ORCID ProfileJo Cutler, View ORCID ProfileJoaquim Radua, View ORCID ProfileDaniel Campbell-Meiklejohn
doi: https://doi.org/10.1101/457028
Jo Cutler
1The Social Decision Lab, the University of Sussex, School of Psychology, Falmer, UK.
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  • For correspondence: J.Cutler@sussex.ac.uk
Joaquim Radua
2Institut d’Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
3FIDMAG Germanes Hospitalaries, Barcelona, Spain
4Mental Health Research Networking Center (CIBERSAM), Madrid, Spain
5Department of Psychosis Studies, King’s College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
6Centre for Psychiatric Research and Education, Karolinska Institutet, Department of Clinical Neuroscience, Stockholm, Sweden
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Daniel Campbell-Meiklejohn
1The Social Decision Lab, the University of Sussex, School of Psychology, Falmer, UK.
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Abstract

Meta-analyses of fMRI studies are vital to establish consistent findings across the literature. However, fMRI data are susceptible to signal dropout (i.e. incomplete brain coverage), which varies across studies and brain regions. In other words, for some brain regions, only a variable subset of the studies included in an fMRI meta-analysis have data present. These missing data can mean activations in fMRI meta-analysis are underestimated (type II errors). Here we present SPM (MATLAB) code to run a novel method of adjusting random-effects models for meta-analytic averaging of a group of studies and mixed-effects models for comparison between two groups of studies. In two separate datasets, meta-analytic effect sizes and z-scores were larger in the adjusted, compared to the unadjusted analysis. Relevantly, these changes were in regions such as the ventromedial prefrontal cortex where coverage was lowest. Limitations of the method, including issues of how to threshold the adjusted maps are discussed. Code and demonstration data for the adjusted method are available at https://doi.org/10.25377/sussex.c.4223411.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted October 30, 2018.
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Adjusting for Variable Brain Coverage in Voxel-Based fMRI Meta-Analysis
Jo Cutler, Joaquim Radua, Daniel Campbell-Meiklejohn
bioRxiv 457028; doi: https://doi.org/10.1101/457028
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Adjusting for Variable Brain Coverage in Voxel-Based fMRI Meta-Analysis
Jo Cutler, Joaquim Radua, Daniel Campbell-Meiklejohn
bioRxiv 457028; doi: https://doi.org/10.1101/457028

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