The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
The future of fMRI in cognitive neuroscience
Open accessAbstract
Over the last twenty years, fMRI has revolutionized cognitive neuroscience. Here I outline a vision for what the next twenty years of fMRI in cognitive neuroscience might look like. Some developments that I hope for include increased methodological rigor, an increasing focus on connectivity and pattern analysis as opposed to “blobology”, a greater focus on selective inference powered by open databases, and increased use of ontologies and computational models to describe underlying processes.
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Cites
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“Indeed, under certain conditions, research findings are more likely to be false than true (Ioannidis, 2005b).”
BackgroundInfluentialLarge-scale automated synthesis of human functional neuroimaging data.
Yarkoni, T., Poldrack, R. A., Nichols, T. E., Van Essen, D. C., & Wager, T. D. (2011) · Nature Methods · doi:10.1038/nmeth.1635 · Cited by 3,686 · cited 1×
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BackgroundSelf-citationBeyond mind-reading: multi-voxel pattern analysis of fMRI data
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Self-citationNetwork modelling methods for FMRI
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The neural basis of loss aversion in decision-making under risk
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Self-citationMachine learning classifiers and fMRI: A tutorial overview
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Cited by
Eickhoff, S. B., Nichols, T. E., Laird, A. R., Hoffstaedter, F., Amunts, K., Fox, P. T., Bzdok, D., & Eickhoff, C. R. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.04.072 · Cited by 683
“The notion of effect-size, however, is somewhat tricky in ALE meta-analyses, as in contrast to classical behavioral meta-analyses neuroimaging meta-analyses assess spatial convergence (Eickhoff et al., 2009b; Kober and Wager, 2010; Radua and Mataix-Cols, 2012).”
InfluentialMapping discrete and dimensional emotions onto the brain: controversies and consensus
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Data sharing in neuroimaging research
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Self-citationStructural disconnections explain brain network dysfunction after stroke
Griffis, J. C., Metcalf, N. V., Corbetta, M., & Shulman, G. L. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.07.100 · Cited by 213
Measuring neural representations with fMRI: practices and pitfalls
Davis, T., & Poldrack, R. A. (2013) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12156 · Cited by 132
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Metadata
- Authors
- Poldrack, R. A.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2012-08
- Volume
- 62
- Issue
- 2
- Pages
- 1216-1220
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W1996659721
- Cited by
- 187
- References
- 16
- FWCI
- 6.78
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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