Evidence map›Paper›PMID 40057550›Full record

ArticleScientific data2025

Human infant EEG recordings for 200 object images presented in rapid visual streams.

Tijl Grootswagers, Genevieve L Quek, Zhen Zeng, Manuel Varlet

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Deep learning in fetal, infant, and toddler neuroimaging research.Developmental cognitive neuroscience · 2026
    Review
  2. Article
  3. Article
  4. Mapping object space dimensions: New insights from temporal dynamics.Imaging neuroscience (Cambridge, Mass.) · 2025
    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.

Tijl GrootswagersThe MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Sydney, Australia. t.grootswagers@westernsydney.edu.au.ORCID http://orcid.org/0000-0002-7961-5002
Genevieve L QuekThe MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Sydney, Australia.
Zhen ZengThe MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Sydney, Australia.
Manuel VarletThe MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the neural basis of human object recognition and semantic knowledge has been a significant area of exploration, with recent focus aiming to reveal the developmental trajectory of this core brain function. At present, however, there is limited access to high-quality neuroimaging data obtained from human infants. Addressing this gap, we present a dataset comprising electroencephalography responses from 42 human infants obtained in response to visual presentations of various objects. Leveraging a rapid serial visual presentation paradigm, 42 infants between 2 and 12 months of age viewed 200 images spanning 50 distinct objects, with as many repetitions as possible tailored to individual infants' comfort. Our technical validation demonstrates discernible neural responses, affirming the dataset's robustness and utility for exploring the neural underpinnings of visual object recognition in infancy. Building upon insights gained from adult studies, our findings suggest that fast presentation paradigms hold promise for efficiently capturing electrophysiological responses to a large array of visual stimuli in human infants. This dataset represents a valuable resource for advancing our understanding of the developmental trajectory of object recognition and semantic knowledge in the early stages of human life.

Indexed as

BrainElectroencephalographyPattern Recognition, VisualVisual PerceptionHumansInfantPhotic Stimulation

Identifiers

PMID40057550
PMCPMC11890752

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.