Evidence map›Paper›PMID 41619204›Full record

ArticleInfancy : the official journal of the International Society on Infant Studies2026

Functional Magnetic Resonance Imaging in Awake Infants: Insights From More Than 750 Scanning Sessions.

Lillian Behm, Tristan S Yates, Juliana E Trach, Dawoon Choi, Haoyu Du, Camille Osumah, Ben Deen, Heather L Kosakowski, Emily M Chen, Frederik S Kamps and 4 more

Abstract read
In one paragraph

Article in Infancy : the official journal of the International Society on Infant Studies, 2026. 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. The cortical scene processing network emerges in infancy, prior to independent navigation experience.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Lillian BehmDepartment of Psychology, Yale University, New Haven, Connecticut, USA.ORCID https://orcid.org/0009-0008-2339-6788
Tristan S YatesDepartment of Psychology, Yale University, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0002-5748-7468
Juliana E TrachDepartment of Psychology, Yale University, New Haven, Connecticut, USA.
Dawoon ChoiDepartment of Psychology, Yale University, New Haven, Connecticut, USA.
Haoyu DuDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Camille OsumahDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Ben DeenDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Heather L KosakowskiDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Emily M ChenDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Frederik S KampsDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Halie A OlsonDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Cameron T EllisDepartment of Psychology, Yale University, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0002-3254-5940
Rebecca SaxeDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Nicholas B Turk-BrowneDepartment of Psychology, Yale University, New Haven, Connecticut, USA.

Funding

How do Cortical regions selective for visual scenes develop in human infants?R01HD103847 · NICHD · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SAXE, REBECCA R · 2021 to 2025
$1.6M
Using fMRI in awake human infants to study functional development of cortexR21HD090346 · NICHD · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SAXE, REBECCA R · 2017 to 2018
$437k
Canadian Institute for Advanced ResearchJames S. McDonnell FoundationNational Science Foundation 2023350036NICHD NIH HHS R01 HD103847NICHD NIH HHS R21 HD090346NIH HHS R01HD103847NIH HHS R21HD090346Packard Fellowship
6 · The paper itself

Abstract

Functional magnetic resonance imaging (fMRI) in awake infants has the potential to reveal how the early developing brain gives rise to cognition and behavior. However, awake infant fMRI poses significant methodological challenges that have hampered wider adoption. The present work takes stock after the collection of a substantial amount of awake infant fMRI data across multiple studies from two labs, at Yale University and Massachusetts Institute of Technology (MIT). These data were leveraged to glean insights on participant recruitment, experimental design, and data acquisition that could be useful to consider for future studies. Across 766 fMRI sessions with awake infants aged 1-36 months, the authors explored the factors that influenced how much usable data were obtained per session. The age of an infant predicted whether they would successfully enter the scanner (younger more likely) and, if they did enter, the number of minutes of functional data collected (linear, younger more) and retained after preprocessing with lab-specific protocols or harmonized motion exclusion thresholds (quadratic, 12-24 months more than younger and older). The amount of functional data retained was also influenced by assigned sex (female more), experimental paradigm (movies better than blocks and events), and stimulus content (social better than abstract). There were many differences in the research approach between labs making head-to-head comparisons difficult, but Yale was more likely to get infants into the scanner, MIT collected more data from infants who entered, and the amount of data retained after preprocessing did not differ statistically between labs (9 min). In addition, the authors assessed the value of attempting to collect multiple experiments per session, an approach that yielded more than one usable experiment averaging across all sessions. Although any given scan is unpredictable, these findings support the feasibility of awake infant fMRI and suggest practices to optimize future research.

Indexed as

BrainBrain MappingMagnetic Resonance ImagingWakefulnessChild, PreschoolFemaleHumansInfantMale

Identifiers

PMID41619204
PMCPMC13318484

What OpenQuestion holds

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Registered trials

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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.