Evidence map›Paper›PMID 38570212›Full record

ReviewTrends in neurosciences2024

Infant neuroscience: how to measure brain activity in the youngest minds.

Nicholas B Turk-Browne, Richard N Aslin

Open access · greenAbstract readReview
In one paragraph

Review in Trends in neurosciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
6.5field-weighted citation impact, top 3% of its field
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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Functional Magnetic Resonance Imaging in Awake Infants: Insights From More Than 750 Scanning Sessions.Infancy : the official journal of the International Society on Infant Studies · 2026
    Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Development of Higher-Level Vision: A Network Perspective.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Review
  11. 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

2 authors at 1 institution in 1 country.

Nicholas B Turk-BrowneDepartment of Psychology, Yale University, New Haven, CT 06520, USA; Wu Tsai Institute, Yale University, New Haven, CT 06510, USA. Electronic address: nicholas.turk-browne@yale.edu.
Richard N AslinDepartment of Psychology, Yale University, New Haven, CT 06520, USA; Child Study Center, Yale School of Medicine, New Haven, CT 06520, USA.
Yale University · US

Funding

Visual statistical learning in human infantsR01HD037082 · NICHD · UNIVERSITY OF ROCHESTER · PI ASLIN, RICHARD N., NEWPORT, ELISSA L · 1999 to 2022
$6.1M
NICHD NIH HHS R01 HD037082
6 · The paper itself

Abstract

The functional properties of the infant brain are poorly understood. Recent advances in cognitive neuroscience are opening new avenues for measuring brain activity in human infants. These include novel uses of existing technologies such as electroencephalography (EEG) and magnetoencephalography (MEG), the availability of newer technologies including functional near-infrared spectroscopy (fNIRS) and optically pumped magnetometry (OPM), and innovative applications of functional magnetic resonance imaging (fMRI) in awake infants during cognitive tasks. In this review article we catalog these available non-invasive methods, discuss the challenges and opportunities encountered when applying them to human infants, and highlight the potential they may ultimately hold for advancing our understanding of the youngest minds.

Indexed as

BrainMagnetoencephalographyBrain MappingElectroencephalographyHumansInfantMagnetic Resonance ImagingNeurosciencesSpectroscopy, Near-Infraredbehaviorcognitiondevelopmentneuroimagingneurotechnologyplasticity

Identifiers

PMID38570212
PMCPMC11956833
OpenAlexW4393864730

What OpenQuestion holds

Textmetadata
LicenceTDM
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.