Evidence map›Paper›PMID 38739567›Full record

ArticleJournal of cognitive neuroscience2024

Spatiotemporal Properties of Common Semantic Categories for Words and Pictures.

Yulia Bezsudnova, Andrew J Quinn, Syanah C Wynn, Ole Jensen

Abstract read
In one paragraph

Article in Journal of cognitive neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. 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 · 2026
    Article
  3. Fast Feature- and Category-Related Parafoveal Previewing Support Free Visual Exploration.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yulia BezsudnovaUniversity of Birmingham.
Andrew J QuinnUniversity of Birmingham.
Syanah C WynnUniversity of Birmingham.
Ole JensenUniversity of Birmingham.

Funding

Biotechnology and Biological Sciences Research Council BB/R018723/1Engineering and Physical Sciences Research Council EP/T001046/1NIHR Oxford Health Biomedical Research Centre NIHR203316Wellcome Trust 207550Wellcome Trust 227420
6 · The paper itself

Abstract

The timing of semantic processing during object recognition in the brain is a topic of ongoing discussion. One way of addressing this question is by applying multivariate pattern analysis to human electrophysiological responses to object images of different semantic categories. However, although multivariate pattern analysis can reveal whether neuronal activity patterns are distinct for different stimulus categories, concerns remain on whether low-level visual features also contribute to the classification results. To circumvent this issue, we applied a cross-decoding approach to magnetoencephalography data from stimuli from two different modalities: images and their corresponding written words. We employed items from three categories and presented them in a randomized order. We show that if the classifier is trained on words, pictures are classified between 150 and 430 msec after stimulus onset, and when training on pictures, words are classified between 225 and 430 msec. The topographical map, identified using a searchlight approach for cross-modal activation in both directions, showed left lateralization, confirming the involvement of linguistic representations. These results point to semantic activation of pictorial stimuli occurring at ∼150 msec, whereas for words, the semantic activation occurs at ∼230 msec.

Indexed as

MagnetoencephalographyPattern Recognition, VisualSemanticsAdultBrainBrain MappingFemaleHumansMalePhotic StimulationReadingYoung Adult

Identifiers

PMID38739567
PMCPMC7619145

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.