Evidence map›Paper›PMID 41968540›Full record

ReviewPsychophysiology2026

Revolutionizing Pediatric Neurophysiology With Magnetoencephalography.

J C Edgar, T W Wilson, S Taulu, A C Nugent, S P Ahlfors, T Kenet, Y Chen, A N Bosseler, H L Green, E Heinrichs-Graham and 23 more

Abstract readReview
In one paragraph

Review in Psychophysiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

33 authors.

J C EdgarLurie Family Foundations MEG Imaging Center, Department of Radiology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0001-6731-5443
T W WilsonInstitute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, Nebraska, USA.
S TauluInstitute for Learning and Brain Sciences, University of Washington, Seattle, Washington, USA.
A C NugentMEG Core Facility, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA.
S P AhlforsAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.
T KenetDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Y ChenLurie Family Foundations MEG Imaging Center, Department of Radiology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
A N BosselerInstitute for Learning and Brain Sciences, University of Washington, Seattle, Washington, USA.
H L GreenLurie Family Foundations MEG Imaging Center, Department of Radiology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
E Heinrichs-GrahamInstitute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, Nebraska, USA.ORCID https://orcid.org/0000-0002-7914-5258
W GaetzLurie Family Foundations MEG Imaging Center, Department of Radiology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
E LarsonInstitute for Learning and Brain Sciences, University of Washington, Seattle, Washington, USA.
F T Candelaria-CookThe Mind Research Network a Division of Lovelace Biomedical Research Institute, Albuquerque, New Mexico, USA.
N M BellDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
E M DavenportDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
B HowellFralin Biomedical Research Institute at Virginia Tech Carilion, Roanoke, Virginia, USA.
M EvansFralin Biomedical Research Institute at Virginia Tech Carilion, Roanoke, Virginia, USA.
B AhtamDepartment of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
M X HuangDepartment of Radiology, University of California, San Diego, California, USA.
T W WardInstitute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, Nebraska, USA.ORCID https://orcid.org/0000-0001-9532-4048
B ShareANT North American, Inc., Nashville, Tennessee, USA.
M ModyAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.
J J SonInstitute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, Nebraska, USA.
D CellierDepartment of Cognitive Science, University of California, San Diego, La Jolla, California, USA.ORCID https://orcid.org/0000-0003-3807-7049
N A PeatfieldHeyBro, Inc., Vancouver, British Columbia, Canada.
T BardouilleDepartment of Physics & Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, Canada.
L M BaileyDepartment of Physics & Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, Canada.
S GrewalDepartment of Neurology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
K PrattTristan Technologies, Inc., San Diego, California, USA.
S KnappePaul M. Rady Department of Mechanical Engineering, University of Colorado Boulder, Boulder, Colorado, USA.
O AlemPaul M. Rady Department of Mechanical Engineering, University of Colorado Boulder, Boulder, Colorado, USA.
G A MillerDepartment of Psychology, University of California, Los Angeles, California, USA.
J StephenThe Mind Research Network a Division of Lovelace Biomedical Research Institute, Albuquerque, New Mexico, USA.ORCID https://orcid.org/0000-0003-2486-747X

Funding

Understanding neurophysiological deficits in response inhibition in children with FASDP50AA022534 · NIAAA · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Carlos Fernando Valenzuela · 2014 to 2026
$21.5M
A longitudinal study of brain development in children with autismR01MH107506 · NIMH · CHILDREN'S HOSP OF PHILADELPHIA · PI James Christopher EDGAR · 2016 to 2026
$7.5M
Brain structure and function in infantsR01HD093776 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI James Christopher EDGAR · 2018 to 2026
$5.7M
Attending to all children: Examining the role of alpha oscillations in attention in young children with and without prenatal alcohol exposure (AsCENd) Administrative SupplementR01AA029605 · NIAAA · LOVELACE BIOMEDICAL RESEARCH INSTITUTE · PI JULIA MARIE STEPHEN · 2022 to 2026
$3.6M
Neural markers of late language emergence in preschool children born very and extremely pretermR01HD119165 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI CHEN, YU-HAN · 2025 to 2025
$2.4M
Identifying optimal electrophysiological markers for predicting developmental outcomes in infantsK08HD114880 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI Heather Lee Green · 2025 to 2026
$294k
NICHD NIH HHS K08HD114880NICHD NIH HHS R01HD093776NICHD NIH HHS R01 HD119165NICHD NIH HHS R01HD119165NIH HHS P50AA022534NIH HHS R01AA029605NIH HHS R01MH107506TALK Supplement Grant GRT-00003651
6 · The paper itself

Abstract

This paper considers the current and future use of magnetoencephalography (MEG) for assessing neural activity in children (birth to 18 years old), including the well-established use of SQUID (Superconducting QUantum Interference Device) MEG technology as well as the very rapidly developing Optically Pumped Magnetometry (OPM) technology. A primary conclusion is that the changing landscape of pediatric neurophysiology studies foretells a revolution in electromagnetic neuroimaging. These changes will produce some discontinuity, progressing away from what once worked well enough, namely, examining neural activity at the level of the EEG or MEG sensor, but is not up to current and anticipated challenges. Given features intrinsic to MEG, including simpler mathematical models for source localization and higher-dimensional representation of neural activity, little effect of open fontanelles and sutures on infant neural measures, and reference-free neural measures, MEG will often be the preferred method for assessing neural activity in children. In particular, noninvasive, whole-brain MEG sensor data with source localization provide measures of neural activity in brain space that richly represent the structure and maturation of neural activity spanning both local and regional processes, as well as measures of connectivity within and between brain regions. Assessing neurophysiology in brain space is also essential for associating local neural activity with local brain structure (e.g., gray and white matter) and brain chemistry (e.g., magnetic resonance spectroscopy data). It is also highly likely that MEG data are more future-proof than EEG data (higher dimensionality, ease of source localization), especially for advanced source localization methods as well as advanced analysis methods yet to be developed and applied to previously collected data. The emergence of OPM-based MEG opens a new age of imaging for children and infants, such as translating the source localizing abilities of MEG in adults to wearable systems in young children. Looking forward, greater access to MEG and other advanced imaging technologies, the accessibility of greater computational power, and the rapid development of open-source software will combine to improve our methods and inform our research questions, all leading to a better understanding of how the human brain changes and supports behavioral development from birth to adulthood.

Indexed as

BrainMagnetoencephalographyNeurophysiologyPediatricsAdolescentBrain MappingChildChild, PreschoolHumansInfantInfant, Newborn

Identifiers

PMID41968540
PMCPMC13071250

What Socratic 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 Socratic graph.