Ten simple rules for neuroimaging meta-analysis

doi:10.1016/j.neubiorev.2017.11.012

Review

. 2018 Jan:84:151-161.

doi: 10.1016/j.neubiorev.2017.11.012. Epub 2017 Nov 24.

Ten simple rules for neuroimaging meta-analysis

Affiliations

¹ Institute of Systems Neuroscience and Institute of Clinical Neuroscience & Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Institute of Neuroscience und Medicine (INM-1, INM-7), Research Centre Jülich, Jülich, Germany. Electronic address: v.mueller@fz-juelich.de.
² Institute of Systems Neuroscience and Institute of Clinical Neuroscience & Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Institute of Neuroscience und Medicine (INM-1, INM-7), Research Centre Jülich, Jülich, Germany. Electronic address: e.cieslik@fz-juelich.de.
³ Department of Physics, Florida International University, Miami, FL, USA.
⁴ Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA; Research Service, South Texas Veterans Administration Medical Center, San Antonio, TX, USA; Shenzhen Institute of Neuroscience, Shenzhen University, Shenzhen, China.
⁵ FIDMAG Germanes Hospitalàries, CIBERSAM, Barcelona, Spain; Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden; Department of Psychosis Studies, Institute of Psychology, Psychiatry, and Neuroscience, King's College London, London, United Kingdom.
⁶ Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden.
⁷ (CRT) Division of Clinical Neurosciences, Clinical Neurology, University of Nottingham, Queen's Medical Centre, Nottingham, United Kingdom.
⁸ Department of Psychology, University of Texas at Austin, Austin, TX, USA.
⁹ Department of Statistics, University of Warwick, Coventry, United Kingdom; Warwick Manufactoring Group, University of Warwick, Coventry, United Kingdom.
¹⁰ Department of Neurology, Georgetown University Medical Center, Washington, DC, USA; Research Division, MedStar National Rehabilitation Hospital, Washington, DC, USA.
¹¹ Department of Psychology and Neuroscience, University of Colorado, Boulder, Colorado, USA; Institute of Cognitive Science, University of Colorado, Boulder, USA.
¹² Institute of Systems Neuroscience and Institute of Clinical Neuroscience & Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Institute of Neuroscience und Medicine (INM-1, INM-7), Research Centre Jülich, Jülich, Germany.

PMID: 29180258
PMCID: PMC5918306
DOI: 10.1016/j.neubiorev.2017.11.012

Review

Ten simple rules for neuroimaging meta-analysis

Veronika I Müller et al. Neurosci Biobehav Rev. 2018 Jan.

. 2018 Jan:84:151-161.

doi: 10.1016/j.neubiorev.2017.11.012. Epub 2017 Nov 24.

Authors

Affiliations

¹ Institute of Systems Neuroscience and Institute of Clinical Neuroscience & Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Institute of Neuroscience und Medicine (INM-1, INM-7), Research Centre Jülich, Jülich, Germany. Electronic address: v.mueller@fz-juelich.de.
² Institute of Systems Neuroscience and Institute of Clinical Neuroscience & Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Institute of Neuroscience und Medicine (INM-1, INM-7), Research Centre Jülich, Jülich, Germany. Electronic address: e.cieslik@fz-juelich.de.
³ Department of Physics, Florida International University, Miami, FL, USA.
⁴ Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA; Research Service, South Texas Veterans Administration Medical Center, San Antonio, TX, USA; Shenzhen Institute of Neuroscience, Shenzhen University, Shenzhen, China.
⁵ FIDMAG Germanes Hospitalàries, CIBERSAM, Barcelona, Spain; Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden; Department of Psychosis Studies, Institute of Psychology, Psychiatry, and Neuroscience, King's College London, London, United Kingdom.
⁶ Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden.
⁷ (CRT) Division of Clinical Neurosciences, Clinical Neurology, University of Nottingham, Queen's Medical Centre, Nottingham, United Kingdom.
⁸ Department of Psychology, University of Texas at Austin, Austin, TX, USA.
⁹ Department of Statistics, University of Warwick, Coventry, United Kingdom; Warwick Manufactoring Group, University of Warwick, Coventry, United Kingdom.
¹⁰ Department of Neurology, Georgetown University Medical Center, Washington, DC, USA; Research Division, MedStar National Rehabilitation Hospital, Washington, DC, USA.
¹¹ Department of Psychology and Neuroscience, University of Colorado, Boulder, Colorado, USA; Institute of Cognitive Science, University of Colorado, Boulder, USA.
¹² Institute of Systems Neuroscience and Institute of Clinical Neuroscience & Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Institute of Neuroscience und Medicine (INM-1, INM-7), Research Centre Jülich, Jülich, Germany.

PMID: 29180258
PMCID: PMC5918306
DOI: 10.1016/j.neubiorev.2017.11.012

Abstract

Neuroimaging has evolved into a widely used method to investigate the functional neuroanatomy, brain-behaviour relationships, and pathophysiology of brain disorders, yielding a literature of more than 30,000 papers. With such an explosion of data, it is increasingly difficult to sift through the literature and distinguish spurious from replicable findings. Furthermore, due to the large number of studies, it is challenging to keep track of the wealth of findings. A variety of meta-analytical methods (coordinate-based and image-based) have been developed to help summarise and integrate the vast amount of data arising from neuroimaging studies. However, the field lacks specific guidelines for the conduct of such meta-analyses. Based on our combined experience, we propose best-practice recommendations that researchers from multiple disciplines may find helpful. In addition, we provide specific guidelines and a checklist that will hopefully improve the transparency, traceability, replicability and reporting of meta-analytical results of neuroimaging data.

Keywords: Guidelines; Meta-analysis; Neuroimaging; PET; Ten simple rules; fMRI.

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Figures

**Figure 1**
Flow-chart illustrating the important steps of a meta-analysis

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References

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[1] Ahmed I, Sutton AJ, Riley RD. Assessment of publication bias, selection bias, and unavailable data in meta-analyses using individual participant data: a database survey. Brit Med J. 2012:344. - PubMed

[2] Ahmed I, Sutton AJ, Riley RD. Assessment of publication bias, selection bias, and unavailable data in meta-analyses using individual participant data: a database survey. Brit Med J. 2012:344. - PubMed

[3] American Psychological Association. Publication Manual of the American Psychological Association. 6. American Psychological Association; Washington, DC: 2010.

[4] American Psychological Association. Publication Manual of the American Psychological Association. 6. American Psychological Association; Washington, DC: 2010.

[5] Brett M, Christoff K, Cusack R, Lancaster J. Using the Talairach atlas with the MNI template. Neuroimage. 2001;13:S85–S85.

[6] Brett M, Christoff K, Cusack R, Lancaster J. Using the Talairach atlas with the MNI template. Neuroimage. 2001;13:S85–S85.

[7] Brett M, Johnsrude IS, Owen AM. The problem of functional localization in the human brain. Nature reviews. Neuroscience. 2002;3:243–249. - PubMed

[8] Brett M, Johnsrude IS, Owen AM. The problem of functional localization in the human brain. Nature reviews. Neuroscience. 2002;3:243–249. - PubMed

[9] Button KS, Ioannidis JP, Mokrysz C, Nosek BA, Flint J, Robinson ES, Munafo MR. Power failure: why small sample size undermines the reliability of neuroscience. Nature reviews. Neuroscience. 2013;14:365–376. - PubMed

[10] Button KS, Ioannidis JP, Mokrysz C, Nosek BA, Flint J, Robinson ES, Munafo MR. Power failure: why small sample size undermines the reliability of neuroscience. Nature reviews. Neuroscience. 2013;14:365–376. - PubMed

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Ten simple rules for neuroimaging meta-analysis

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Ten simple rules for neuroimaging meta-analysis

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