ReviewNature human behaviour2023
Testing cognitive theories with multivariate pattern analysis of neuroimaging data.
Review in Nature human behaviour, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
35 citing papers in PubMed.
- Evaluating the effects of regularization and cross-validation parameters on the performance of SVM-based decoding of EEG data.Cortex; a journal devoted to the study of the nervous system and behavior · 2026Article
- Towards naturalistic social neuroscience: A multi-level framework integrating real-world phenotyping, neurobiology, and computational mechanisms.Cognitive, affective & behavioral neuroscience · 2026Review
- How to Foster Challenging Interdisciplinary Collaborations: Can Philosophy Support Neuroscientists?The European journal of neuroscience · 2026Review
- Evaluating the effects of regularization and cross-validation parameters on the performance of SVM-based decoding of EEG data.bioRxiv : the preprint server for biology · 2026Article
- Direction selectivity in naturalistic action observation: distributed representations across the action observation network.Brain structure & function · 2026Article
- Testing for Network Specificity in Brain-Behavior Associations Using Ordinal Dominance Curves.Human brain mapping · 2026Article
- Common and distinct neurofunctional signatures of dynamic naturalistic emotion regulation strategies.Nature communications · 2026Article
- Decoding real-world visual scenes from alpha and gamma band flicker evoked oscillations in human EEG.Scientific reports · 2026Article
- The neurobiology of human sequential signal prediction: Insights from language, music, and mathematics.Neuroscience research · 2026Review
- A Novel Approach to Map the Causal Impact of Brain Stimulation on Semantic Processing With Language Models.Neurobiology of language (Cambridge, Mass.) · 2026Article
- Enhanced Neural Decoding With Optically Pumped Magnetometer MEG Using Multivariate Pattern Analysis.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2026Article
- Personalized cognitive enhancement for older adults: An aging-friendly closed-loop human-machine interface framework.Ageing research reviews · 2025Review
- Decoding Auditory Working Memory Load From EEG Alpha Oscillations.Psychophysiology · 2025Article
- Oxytocin and vasopressin enhance social pain empathy via common and distinct of neural expressions, genetic pathways, and networks.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Neurobehavioral mechanisms of fear and anxiety in multiple sclerosis.Communications medicine · 2025Article
- Recurrence affects the geometry of visual representations across the ventral visual stream in the human brain.PLoS biology · 2025Article
- Assessing the impact of artifact correction and artifact rejection on the performance of SVM- and LDA-based decoding of EEG signals.NeuroImage · 2025Article
- The Neural Reality of Pitch Chroma in Early Infancy.Developmental science · 2025Article
- Cortical representational geometry of diverse tasks reveals subject-specific and subject-invariant cognitive structures.Communications biology · 2025Article
- A Shared Threat-Anticipation Circuit Is Dynamically Engaged at Different Moments by Certain and Uncertain Threat.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Multivariate pattern analysis (MVPA) has emerged as a powerful method for the analysis of functional magnetic resonance imaging, electroencephalography and magnetoencephalography data. The new approaches to experimental design and hypothesis testing afforded by MVPA have made it possible to address theories that describe cognition at the functional level. Here we review a selection of studies that have used MVPA to test cognitive theories from a range of domains, including perception, attention, memory, navigation, emotion, social cognition and motor control. This broad view reveals properties of MVPA that make it suitable for understanding the 'how' of human cognition, such as the ability to test predictions expressed at the item or event level. It also reveals limitations and points to future directions.
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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.