Cited by 765Functional Brain Connectivity StudiesMeta-analysis and systematic reviewsNeural and Behavioral Psychology Studies

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A new meta-analytic method for neuroimaging studies that combines reported peak coordinates and statistical parametric maps

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Radua, J., Mataix-Cols, D., Phillips, M.L., El-Hage, W., Kronhaus, D.M., Cardoner, N., Surguladze, S.·2012·European Psychiatry

DOI 10.1016/j.eurpsy.2011.04.001

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Abstract

Meta-analyses are essential to summarize the results of the growing number of neuroimaging studies in psychiatry, neurology and allied disciplines. Image-based meta-analyses use full image information (i.e. the statistical parametric maps) and well-established statistics, but images are rarely available making them highly unfeasible. Peak-probability meta-analyses such as activation likelihood estimation (ALE) or multilevel kernel density analysis (MKDA) are more feasible as they only need reported peak coordinates. Signed-differences methods, such as signed differential mapping (SDM) build upon the positive features of existing peak-probability methods and enable meta-analyses of studies comparing patients with controls. In this paper we present a new version of SDM, named Effect Size SDM (ES-SDM), which enables the combination of statistical parametric maps and peak coordinates and uses well-established statistics. We validated the new method by comparing the results of an ES-SDM meta-analysis of studies on the brain response to fearful faces with the results of a pooled analysis of the original individual data. The results showed that ES-SDM is a valid and reliable coordinate-based method, whose performance might be additionally increased by including statistical parametric maps. We anticipate that ES-SDM will be a helpful tool for researchers in the fields of psychiatry, neurology and allied disciplines.

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Authors: Radua, J., Mataix-Cols, D., Phillips, M. L., El-Hage, W., Kronhaus, D. M., Cardoner, N., & Surguladze, S.
Affiliations: University of Pittsburgh (US)
Cygnet Healthcare Ltd (GB)
Bellvitge University Hospital (ES)
King's College London (GB)
ORCID: Phillips, M.L.
Cardoner, N.
Venue: European Psychiatry
Publisher: Cambridge University Press (CUP)
Published: 2011-06-11
Volume: 27
Issue: 8
Pages: 605-611
ISSN: 0924-9338 (ISSN-L)
1778-3585
DOI: 10.1016/j.eurpsy.2011.04.001
OpenAlex: W2064405215
Cited by: 765
References: 32
Citations by year: 2026: 63 · 2025: 81 · 2024: 60 · 2023: 73 · 2022: 75 · 2021: 76 · 2020: 57 · 2019: 45 · 2018: 58 · 2017: 45 · 2016: 40 · 2015: 23 · 2014: 26 · 2013: 25 · 2012: 17
FWCI: 11.17
Type: journal article
Language: en
Open access: green
hdl.handle.net
Licence: cc-by-nc-nd
www.cambridge.org/core/terms (unspecified)
Locations: European Psychiatry (publishedVersion)
PubMed (publishedVersion)
Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona) (submittedVersion, cc-by-nc-nd)
ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
Research Portal (King's College London) (submittedVersion)
Funders: John D. and Catherine T. MacArthur Foundation
National Institute for Materials Science
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Keywords: activation likelihood estimation, method validation
MeSH terms: Adult, Brain, Brain Mapping, Facial Expression, Humans, Magnetic Resonance Imaging, Neuropsychological Tests, Reproducibility of Results, Neuroimaging

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A new meta-analytic method for neuroimaging studies that combines reported peak coordinates and statistical parametric maps

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