Evidence map›Paper›PMID 39562454›Full record

ReviewAdvances in neurobiology2024

Towards Biomarkers for Autism Spectrum Disorder: Contributions of Magnetoencephalography (MEG).

Timothy P L Roberts, William C Gaetz, Charlotte Birnbaum, Luke Bloy, Jeffrey I Berman

Abstract readReview
In one paragraph

Review in Advances in neurobiology, 2024. 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. Review
  2. 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

5 authors.

Timothy P L RobertsLurie Family Foundations MEG Imaging Center, Department of Radiology, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, USA. robertstim@chop.edu.
William C GaetzLurie Family Foundations MEG Imaging Center, Department of Radiology, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, USA.
Charlotte BirnbaumLurie Family Foundations MEG Imaging Center, Department of Radiology, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, USA.
Luke BloyLurie Family Foundations MEG Imaging Center, Department of Radiology, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, USA.
Jeffrey I BermanLurie Family Foundations MEG Imaging Center, Department of Radiology, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, USA.

Funding

The Intellectual and Developmental Disabilities Research Center at CHOP/PennU54HD086984 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI YUDKOFF, MARC · 2016 to 2020
$6.3M
Electrophysiological Signatures of Language Impairment in Autism Spectrum DisordeR01DC008871 · NIDCD · CHILDREN'S HOSP OF PHILADELPHIA · PI ROBERTS, TIMOTHY P · 2007 to 2018
$3.6M
Multimodal dMRI, MRS and MEG studies of language impairment in low-verbal ASDR01DC021051 · NIDCD · CHILDREN'S HOSP OF PHILADELPHIA · PI Timothy P Roberts · 2023 to 2026
$2.8M
Developing electrophysiological markers for clinical trials in autistic adultsR01MH129594 · NIMH · CHILDREN'S HOSP OF PHILADELPHIA · PI BRODKIN, EDWARD S, ROBERTS, TIMOTHY P · 2022 to 2024
$2.3M
Developing electrophysiological markers for clinical trials in autistic adultsRF1MH129594 · NIMH · CHILDREN'S HOSP OF PHILADELPHIA · PI BRODKIN, EDWARD S, ROBERTS, TIMOTHY P · 2025 to 2025
$1.5M
NICHD NIH HHS U54 HD086984NIDCD NIH HHS R01 DC008871NIDCD NIH HHS R01 DC021051NIMH NIH HHS R01 MH129594NIMH NIH HHS RF1 MH129594
6 · The paper itself

Abstract

There is no simple blood test for autism. Consequently, much attention has been paid to identifying noninvasive biomarkers using imaging (e.g., Magnetic resonance imaging, MRI) and electrophysiological (e.g., electroencephalography, EEG and magnetoencephalography, MEG) methods. While, in general, these lack direct biological specificity, they can (in principle) provide a useful tool, or suite of tools, for diagnostic, prognostic, stratification, and response monitoring purposes.This chapter focuses on the pursuit of biomarkers using magnetoencephalography (MEG). While closely related to the more common electroencephalography (EEG), MEG offers some unique characteristics (such as improved spatial resolution, in combination with real-time temporal resolution and spectral discrimination), that might be considered impactful in the pursuit of biomarkers.Given the widely-acknowledged heterogeneity of ASD ("if you've seen one child with autism, then you've seen one child with autism"), the tide of research is perhaps shifting away from diagnostic biomarkers toward biomarkers that can help stratify patients according to some similarity in biological basis, etiology, or pathway. This approach, somewhat pragmatic, may be of benefit when designing and conducting clinical trials of putative therapeutics, or when optimally designing behavioral supports (when "therapy" may not be indicated).Ultimately, MEG-derived biomarkers, however advantageous in themselves, may likely find a place as reference in the prioritization and roll-out of candidate biomarkers established using other modalities, more accessible and available to the global community.

Indexed as

Autism Spectrum DisorderBiomarkersMagnetoencephalographyBrainElectroencephalographyHumansBiomarkersBiomarkerMagnetic resonance imaging (MRI)Magnetic resonance spectroscopy (MRS)Magnetoencephalography (MEG)

Identifiers

PMID39562454
PMCPMC13431651

What OpenQuestion holds

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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.