ArticleNeuroImage2010
A comparison of fMRI adaptation and multivariate pattern classification analysis in visual cortex.
Article in NeuroImage, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.
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Who cites it
31 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A meta-analysis of fMRI decoding: Quantifying influences on human visual population codes.Neuropsychologia · 2016Pooled it
- Unraveling the distributed neural code of facial identity through spatiotemporal pattern analysis.Proceedings of the National Academy of Sciences of the United States of America · 2011Trial
- Stimulus Repetition Induces a Two-Stage Learning Process in the Primary Visual Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Multivariate Patterns of fMRI Activity in Human V2 Predict Feature Binding of Color and Motion.Neuroscience bulletin · 2024Article
- Right amygdala and caudate activation patterns predict implicit attitudes toward people with autism spectrum disorders and physical disabilities, respectively.Cognitive, affective & behavioral neuroscience · 2023Article
- Lack of orientation specific adaptation to vertically oriented Glass patterns in human visual cortex: an fMRI adaptation investigation.Scientific reports · 2023Article
- Distributed and hierarchical neural encoding of multidimensional biological motion attributes in the human brain.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Dynamic and stable population coding of attentional instructions coexist in the prefrontal cortex.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Combining Repetition Suppression and Pattern Analysis Provides New Insights into the Role of M1 and Parietal Areas in Skilled Sequential Actions.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Multivariable pattern classification differentiates relational self-esteem from personal self-esteem.Social cognitive and affective neuroscience · 2021Article
- The macaque face patch system: a turtle's underbelly for the brain.Nature reviews. Neuroscience · 2020Review
- Temporal embedding and spatiotemporal feature selection boost multi-voxel pattern analysis decoding accuracy.Journal of neuroscience methods · 2020Article
- Hyperalignment of motor cortical areas based on motor imagery during action observation.Scientific reports · 2020Article
- fMRI evidence of aberrant neural adaptation for objects in schizophrenia and bipolar disorder.Human brain mapping · 2019Article
- Reduction of BOLD interference in pseudo-continuous arterial spin labeling: towards quantitative fMRI.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2018Article
- fMRI repetition suppression reveals no sensitivity to trait judgments from faces in face perception or theory-of-mind networks.PloS one · 2018Article
- Repetition suppression: a means to index neural representations using BOLD?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2016Review
- Functional versus effector-specific organization of the human posterior parietal cortex: revisited.Journal of neurophysiology · 2016Article
- Strong Evidence for Pattern Separation in Human Dentate Gyrus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016Article
- Modality-independent representations of small quantities based on brain activation patterns.Human brain mapping · 2016Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Functional magnetic resonance imaging (fMRI) has become a ubiquitous tool in cognitive neuroscience. The technique allows noninvasive measurements of cortical responses in the human brain, but only on the millimeter scale. Because a typical voxel contains many thousands of neurons with varied properties, establishing the selectivity of their responses directly is impossible. In recent years, two methods using fMRI aimed at studying the selectivity of neuronal populations on a 'subvoxel' scale have been heavily used. The first technique, fMRI adaptation, relies on the observation that the blood oxygen level-dependent (BOLD) response in a given voxel is reduced after prolonged presentation of a stimulus, and that this reduction is selective to the characteristics of the repeated stimuli (adapters). The second technique, multivariate pattern analysis (MVPA), makes use of multivariate statistics to recover small biases in individual voxels in their responses to different stimuli. It is thought that these biases arise due to the uneven distribution of neurons (with different properties) sampled by the many voxels in the imaged volume. These two techniques have not been compared explicitly, however, and little is known about their relative sensitivities. Here, we compared fMRI results from orientation-specific visual adaptation and orientation-classification by MVPA, using optimized experimental designs for each, and found that the multivariate pattern classification approach was more sensitive to small differences in stimulus orientation than the adaptation paradigm. Estimates of orientation selectivity obtained with the two methods were, however, very highly correlated across visual areas.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.