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Meta-analysis in Neuroimaging

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Encyclopedia of Computational Neuroscience

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Definition

Meta-analysis is the post hoc combination of experimental results from independently performed neuroimaging studies to better estimate a parameter of interest.

Detailed Description

Meta-analysis

The advent of neuroimaging has resulted with an abundance of data localizing the neural effects of specific mental processes in both healthy and clinical populations. To ease the burden of interpretation and consistency across studies, standards of spatial normalization and the reporting of peak activation locations in stereotactic coordinates based upon a standardized atlas space have been accepted community-wide. As an alternative to image-based databases, mining coordinate-based data has also yielded new insight into functional connectivity in the human brain (Toro et al. 2008; Smith et al. 2009; Laird et al. 2011). In the context of coordinate-based archives, the 3D stereotactic coordinates of significant functional activations can be archived along with metadata describing...

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References

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Author information

Authors and Affiliations

  1. Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX, USA

    Kimberly Ray

  2. Department of Physics, Florida International University, Miami, FL, USA

    Dr. Angela Laird

Authors
  1. Kimberly Ray
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  2. Dr. Angela Laird
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Corresponding author

Correspondence to Angela Laird .

Editor information

Editors and Affiliations

  1. Atlanta, Georgia, USA

    Dieter Jaeger

  2. Department of Biomedical Engineering, Florida International University, Miami, Florida, USA

    Ranu Jung

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© 2014 Springer Science+Business Media New York

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Ray, K., Laird, A. (2014). Meta-analysis in Neuroimaging. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_542-1

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  • DOI: https://doi.org/10.1007/978-1-4614-7320-6_542-1

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  • Publisher Name: Springer, New York, NY

  • Online ISBN: 978-1-4614-7320-6

  • eBook Packages: Springer Reference Biomedicine and Life SciencesReference Module Biomedical and Life Sciences

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