Evidence map›Paper›PMID 36935330›Full record

ReviewBiological psychiatry2023

Baby Brains at Work: How Task-Based Functional Magnetic Resonance Imaging Can Illuminate the Early Emergence of Psychiatric Risk.

Ashley N Nielsen, Alice M Graham, Chad M Sylvester

Open access · greenAbstract readReview
In one paragraph

Review in Biological psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Longitudinal Changes in Infant Attention-Related Brain Networks and Fearful Temperament.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026
    Article
  3. Article
  4. 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
  5. Review
  6. Article
  7. Review
  8. Review
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

3 authors at 2 institutions in 1 country.

Ashley N NielsenDepartment of Neurology, Washington University School of Medicine, St. Louis, Missouri. Electronic address: ashley.nielsen@wustl.edu.
Alice M GrahamDepartment of Psychiatry, Oregon Health and Sciences University, Portland, Oregon.
Chad M SylvesterDepartment of Psychiatry, Washington University School of Medicine, St. Louis, Missouri.
Washington University in St. Louis · USOregon Health & Science University · US

Funding

WUIDDRC Supplement-Supporting the health and well-being of children with intellectual and developmental disability during COVID-19 pandemicP50HD103525 · NICHD · WASHINGTON UNIVERSITY · PI JEFFREY D MILBRANDT · 2020 to 2026
$15.5M
The Transgenerational Influence of Discrimination on Mental HealthU01DA055363 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Alice M Graham, Elinor L. Sullivan · 2021 to 2026
$8.8M
Neonatal Brain Activity and Risk for Anxiety Disorders in Early ChildhoodR01MH122389 · NIMH · WASHINGTON UNIVERSITY · PI Chad Michael Sylvester · 2020 to 2026
$3.9M
2/7: Longitudinal evaluation of the impact of the COVID-19 pandemic on high-risk new and expectant mothersR34DA050291 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI FAIR, DAMIEN A, GRAHAM, ALICE M · 2019 to 2021
$977k
LINKS BETWEEN MATERNAL PSYCHOLOGICAL STRESS AND INFLAMMATION DURING PREGNANCY AND POTENTIAL FOR PREVENTIVE INTERVENTION: Supplement to R00MH111805R00MH111805 · NIMH · OREGON HEALTH & SCIENCE UNIVERSITY · PI GRAHAM, ALICE M · 2018 to 2020
$934k
NICHD NIH HHS P50 HD103525NIDA NIH HHS R34 DA050291NIDA NIH HHS U01 DA055363NIMH NIH HHS R00 MH111805NIMH NIH HHS R01 MH122389
6 · The paper itself

Abstract

Psychiatric disorders are complex, often emerging from multiple atypical processes within specified domains over the course of development. Characterizing the development of the neural circuits supporting these domains may help break down the components of complex disorders and reveal variations in functioning associated with psychiatric risk. This review highlights the current and potential role of infant task-based functional magnetic resonance imaging (fMRI) in elucidating the developmental neurobiology of psychiatric disorders. Task-fMRI measures evoked brain activity in response to specific stimuli through changes in the blood oxygen level-dependent signal. First, we review extant studies using task fMRI from birth through the first few years of life and synthesize current evidence for when, where, and how different neural computations are performed across the infant brain. Neural circuits for sensory perception, the perception of abstract categories, and the detection of statistical regularities have been characterized with task fMRI in infants, providing developmental context for identifying and interpreting variation in the functioning of neural circuits related to psychiatric risk. Next, we discuss studies that specifically examine variation in the functioning of these neural circuits during infancy in relation to risk for psychiatric disorders. These studies reveal when maturation of specific neural circuits diverges, the influence of environmental risk factors, and the potential utility for task fMRI to facilitate early treatment or prevention of later psychiatric problems. Finally, we provide considerations for future infant task-fMRI studies with the potential to advance understanding of both functioning of neural circuits during infancy and subsequent risk for psychiatric disorders.

Indexed as

BrainMental DisordersHumansInfantMagnetic Resonance ImagingEvokedfMRIInfantPsychiatryRiskTask

Identifiers

PMID36935330
PMCPMC10149573
OpenAlexW4317623056

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.