ReviewNeuron2020
A M/EEG-fMRI Fusion Primer: Resolving Human Brain Responses in Space and Time.
Review in Neuron, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 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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Who cites it
64 citing papers in PubMed.
- From form to concept: a dynamic spatiotemporal brain network cascade supports language comprehension.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- An open multi-center MEG-EEG dataset for studying conscious visual perception.Scientific data · 2026Article
- Neural and Behavioral Correlates of Evidence Accumulation in Human Click-Based Echolocation.eNeuro · 2026Article
- Distinct perceptual and conceptual representations of natural actions along the lateral and dorsal visual streams.Communications biology · 2026Article
- Achieving more human brain-like vision via human EEG representational alignment.Communications biology · 2026Article
- Article
- Non-Invasive Brain-Computer Interfaces: Converging Frontiers in Neural Signal Decoding and Flexible Bioelectronics Integration.Nano-micro letters · 2026Review
- Early spatiotemporal dynamics of navigational affordance coding in the dorsal visual cortex.Nature communications · 2026Article
- Neuromodulation and rehabilitation of post-stroke cognitive impairment: challenges and prospects.Frontiers in psychiatry · 2026Review
- Article
- From retinotopic to ordinal coding: Dissecting the cortical stages of visual word recognition.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Recurrence affects the geometry of visual representations across the ventral visual stream in the human brain.PLoS biology · 2025Article
- A large-scale MEG and EEG dataset for object recognition in naturalistic scenes.Scientific data · 2025Article
- Layer-specific spatiotemporal dynamics of feedforward and feedback in human visual object perception.bioRxiv : the preprint server for biology · 2025Article
- Novel Verbal Instructions Recruit Abstract Neural Patterns of Time-Variable Information Dimensionality.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Decoding the Spatiotemporal Dynamics of Neural Response Similarity in Auditory Processing: A Multivariate Analysis Based on OPM-MEG.Human brain mapping · 2025Article
- Enhanced and idiosyncratic neural representations of personally typical scenes.Proceedings. Biological sciences · 2025Article
- Neural processing of naturalistic audiovisual events in space and time.Communications biology · 2025Article
- Biologically Inspired Spatial-Temporal Perceiving Strategies for Spiking Neural Network.Biomimetics (Basel, Switzerland) · 2025Article
- The brain prioritizes the basic level of object category abstraction.Scientific reports · 2025Article
4 more citing papers are in PubMed but not listed here.
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
Any cognitive function is mediated by a network of many cortical sites whose activity is orchestrated through complex temporal dynamics. To understand cognition, we need to identify brain responses simultaneously in space and time. Here we present a technique that does this by linking multivariate response patterns of the human brain recorded with functional magnetic resonance imaging (fMRI) and with magneto- or electroencephalography (M/EEG) based on representational similarity. We present the rationale and current applications of this non-invasive analysis technique, termed M/EEG-fMRI fusion, and discuss its pros and cons. We highlight its wide applicability in cognitive neuroscience and how its openness to further development and extension gives it strong potential for a deeper understanding of cognition in the future.
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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.