Spatial smoothing hurts localization but not information: Pitfalls for brain mappers
Abstract
Op de Beeck (Op de Beeck, H., 2009. Against hyperacuity in brain reading: Spatial smoothing does not hurt multivariate fMRI analyses? Neuroimage) challenges the possibility of extracting information from subvoxel representations via random biases associated with voxel sampling, the hypothesis proposed by Kamitani and Tong (Kamitani, Y., Tong, F., 2005. Decoding the visual and subjective contents of the human brain. Nat. Neurosci. 8, 679-685). Here, we show that his results provide no evidence against the possibility, being consistent with both of the subvoxel and supravoxel representation models. Classification of spatially smoothed fMRI data is not an effective means to probe into information sources for multivoxel decoding, since smoothing does not hurt the information contents of multivoxel patterns. We point out the danger of interpreting multivoxel decoding results based on intuitions guided by the conventional brain mapping paradigm.
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Smoothing has been shown not to substantially affect information in multivariate data.
“Although smoothing has been shown not to substantially affect information in multivariate data91–93”
From Acute social isolation evokes midbrain craving responses similar to hunger (2020) · cites this paper as [92]
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- Authors
- Kamitani, Y., & Sawahata, Y.
- Affiliations
- Advanced Telecommunications Research Institute International (JP)
- Corresponding author
- Kamitani, Yukiyasu
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2010-02
- Volume
- 49
- Issue
- 3
- Pages
- 1949-1952
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2053644821
- Cited by
- 122
- References
- 5
- Citations by year
- 2026: 4 · 2025: 5 · 2024: 2 · 2023: 4 · 2022: 4 · 2021: 3 · 2020: 9 · 2019: 6 · 2018: 5 · 2017: 10 · 2016: 10 · 2015: 7 · 2014: 9 · 2013: 8 · 2012: 15
- FWCI
- 5.81
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Nissan Global Foundation
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- spatial smoothing, brain mapping, fMRI classification, hyperacuity
- MeSH terms
- Brain, Brain Mapping, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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