Evidence map›Paper›PMID 29717196›Full record

ArticleScientific reports2018

EEG Analytics for Early Detection of Autism Spectrum Disorder: A data-driven approach.

William J Bosl, Helen Tager-Flusberg, Charles A Nelson

3 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 117 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
117citing papers in PubMed, 5 pooled it
21.2field-weighted citation impact, top 1% 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.

NCT04660552 nacompletednot on this mapstarted 2020, after this paper: background citation

Transcranial Photobiomodulation for Reducing Autism Symptoms in Children

TypeinterventionalSponsorJelikaLite LLCRan2020 to 2023Enrolled34ConditionsAutism Spectrum DisorderArmsCognilum TM: Light Treatment Condition
NCT06359080 nacompletednot on this mapstarted 2022, after this paper: background citation

Transcranial Photobiomodulation for Reducing Autism Symptoms in Children.

TypeinterventionalSponsorJelikaLite LLCRan2022 to 2022Enrolled25ConditionsAutism Spectrum DisorderArmsCognilum TM: Light Treatment Condition
NCT06817746 narecruitingnot on this mapstarted 2024, after this paper: background citation

Fostering Infant Responsivity and Reciprocity - Support to Thrive. A Multisite Randomized Control Trial of a Preemptive Telehealth Intervention for Infants With Early Signs of Autism Spectrum Disorders

TypeinterventionalSponsorIRCCS Fondazione Stella MarisRan2024 to 2027Enrolled132ConditionsAutism Spectrum Disorder (ASD)ArmsFIRRST, Parent Education
3 · Its place in the literature

Who cites it

117 citing papers in PubMed, 5 syntheses or guidelines pooled it, 361 citations in OpenAlex.

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  9. Wrinkle-Adaptive Kirigami Wearables With Anisotropic Deformability for Sleep EEG Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  20. EEG neurosubtyping of infants predicts language trajectories.Journal of neural transmission (Vienna, Austria : 1996) · 2025
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57 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

William J BoslBoston Children's Hospital, Boston, USA. william.bosl@childrens.harvard.edu.
Helen Tager-FlusbergBoston University, Boston, USA.
Charles A NelsonBoston Children's Hospital, Boston, USA.
Boston Children's Hospital · USHarvard University · US

Funding

Harvard Clinical and Translational Science Center (UL1)UL1TR000170 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2012 to 2013
$31.4M
Neurobehavioral Research on Infants at Risk for SLI and AutismR01DC010290 · NIDCD · BOSTON UNIVERSITY MEDICAL CAMPUS · PI NELSON, CHARLES ALEXANDER, TAGER-FLUSBERG, HELEN · 2009 to 2020
$7.5M
EEG Complexity Trajectory as an Early Biomarker for AutismR21MH093753 · NIMH · BOSTON CHILDREN'S HOSPITAL · PI BOSL, WILLIAM J · 2012 to 2013
$470k
Measurement model for respiratory-swallowing impairmentR24DC008647 · NIDCD · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI MARTIN-HARRIS, BONNIE J. · 2007 to 2007
$73k
NCATS NIH HHS UL1 TR000170NIDCD NIH HHS R01 DC010290NIDCD NIH HHS R24 DC008647NIMH NIH HHS R21 MH093753
6 · The paper itself

Abstract

Autism spectrum disorder (ASD) is a complex and heterogeneous disorder, diagnosed on the basis of behavioral symptoms during the second year of life or later. Finding scalable biomarkers for early detection is challenging because of the variability in presentation of the disorder and the need for simple measurements that could be implemented routinely during well-baby checkups. EEG is a relatively easy-to-use, low cost brain measurement tool that is being increasingly explored as a potential clinical tool for monitoring atypical brain development. EEG measurements were collected from 99 infants with an older sibling diagnosed with ASD, and 89 low risk controls, beginning at 3 months of age and continuing until 36 months of age. Nonlinear features were computed from EEG signals and used as input to statistical learning methods. Prediction of the clinical diagnostic outcome of ASD or not ASD was highly accurate when using EEG measurements from as early as 3 months of age. Specificity, sensitivity and PPV were high, exceeding 95% at some ages. Prediction of ADOS calibrated severity scores for all infants in the study using only EEG data taken as early as 3 months of age was strongly correlated with the actual measured scores. This suggests that useful digital biomarkers might be extracted from EEG measurements.

Indexed as

Early DiagnosisResearch DesignAutism Spectrum DisorderBiomarkersBrainBrain WavesChild, PreschoolConnectomeFemaleFollow-Up StudiesHumansInfantMachine LearningMaleNonlinear DynamicsSensitivity and SpecificityBiomarkers

Identifiers

PMID29717196
PMCPMC5931530
OpenAlexW2802719250

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.