Cited by 242Functional Brain Connectivity StudiesMeta-analysis and systematic reviewsAdvanced Neuroimaging Techniques and Applications

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Evaluating the consistency and specificity of neuroimaging data using meta-analysis

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Wager, Tor D., Lindquist, Martin A., Nichols, Thomas E., Kober, Hedy, Van Snellenberg, Jared X.·2009·NeuroImage

DOI 10.1016/j.neuroimage.2008.10.061PMC PMC3318962

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Abstract

Making sense of a neuroimaging literature that is growing in scope and complexity will require increasingly sophisticated tools for synthesizing findings across studies. Meta-analysis of neuroimaging studies fills a unique niche in this process: It can be used to evaluate the consistency of findings across different laboratories and task variants, and it can be used to evaluate the specificity of findings in brain regions or networks to particular task types. This review discusses examples, implementation, and considerations when choosing meta-analytic techniques. It focuses on the multilevel kernel density analysis (MKDA) framework, which has been used in recent studies to evaluate consistency and specificity of regional activation, identify distributed functional networks from patterns of co-activation, and test hypotheses about functional cortical-subcortical pathways in healthy individuals and patients with mental disorders. Several tests of consistency and specificity are described.

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Authors: Wager, T. D., Lindquist, M. A., Nichols, T. E., Kober, H., & Van Snellenberg, J. X.
Affiliations: Columbia University (US)
GlaxoSmithKline (United Kingdom) (GB)
Corresponding author: Wager, Tor D.
ORCID: Wager, Tor D.
Lindquist, Martin A.
Nichols, Thomas E.
Venue: NeuroImage
Publisher: Elsevier BV
Published: 2009-03
Volume: 45
Issue: 1
Pages: S210-S221
ISSN: 1053-8119 (ISSN-L)
DOI: 10.1016/j.neuroimage.2008.10.061
PMC: PMC3318962
OpenAlex: W2141058981
Cited by: 242
References: 80
Citations by year: 2026: 10 · 2025: 8 · 2024: 12 · 2023: 12 · 2022: 16 · 2021: 16 · 2020: 16 · 2019: 16 · 2018: 18 · 2017: 17 · 2016: 12 · 2015: 13 · 2014: 11 · 2013: 12 · 2012: 18
FWCI: 0.89
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: NeuroImage (publishedVersion)
PubMed (publishedVersion)
Europe PMC (PubMed Central) (acceptedVersion)
PubMed Central (acceptedVersion)
Funders: National Institute of Mental Health (R01MH076136)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Keywords: regional brain activation, functional brain networks, CO activation, mental illness
MeSH terms: Brain, Humans, Magnetic Resonance Imaging, Sensitivity and Specificity, Meta-Analysis as Topic, Positron-Emission Tomography

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Evaluating the consistency and specificity of neuroimaging data using meta-analysis

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