Evidence map›Paper›PMID 36831889›Full record

ArticleBrain sciences2023

EEG Features in Autism Spectrum Disorder: A Retrospective Analysis in a Cohort of Preschool Children.

Marta Elena Santarone, Stefania Zambrano, Nicoletta Zanotta, Elisa Mani, Sara Minghetti, Marco Pozzi, Laura Villa, Massimo Molteni, Claudio Zucca

Open access · goldAbstract read
In one paragraph

Article in Brain sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. The Neuroimmunology of Autism.Molecular neurobiology · 2025
    Review
  5. Article
  6. Review
  7. Electroencephalography in Autism Spectrum Disorder.Journal of clinical medicine · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. 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

9 authors at 1 institution in 1 country.

Marta Elena SantaronePsychopathology Department, IRCCS E. Medea, 23842 Bosisio Parini, Italy.
Stefania ZambranoClinical Neurophysiology Unit, IRCCS E. Medea, 23842 Bosisio Parini, Italy.
Nicoletta ZanottaClinical Neurophysiology Unit, IRCCS E. Medea, 23842 Bosisio Parini, Italy.
Elisa ManiPsychopathology Department, IRCCS E. Medea, 23842 Bosisio Parini, Italy.
Sara MinghettiClinical Neurophysiology Unit, IRCCS E. Medea, 23842 Bosisio Parini, Italy.
Marco PozziScientific Institute IRCCS E. Medea, 23842 Bosisio Parini, Italy.ORCID 0000-0002-3800-5697
Laura VillaPsychopathology Department, IRCCS E. Medea, 23842 Bosisio Parini, Italy.
Massimo MolteniPsychopathology Department, IRCCS E. Medea, 23842 Bosisio Parini, Italy.
Claudio ZuccaClinical Neurophysiology Unit, IRCCS E. Medea, 23842 Bosisio Parini, Italy.ORCID 0000-0001-7621-2542
IRCCS Eugenio Medea · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder that can be associated with intellectual disability (ID) and epilepsy (E). The etiology and the pathogenesis of this disorder is in most cases still to be clarified. Several studies have underlined that the EEG recordings in children with these clinical pictures are abnormal, however the precise frequency of these abnormalities and their relationship with the pathogenic mechanisms and in particular with epileptic seizures are still unknown. We retrospectively reviewed 292 routine polysomnographic EEG tracings of preschool children (age < 6 years) who had received a first multidisciplinary diagnosis of ASD according to DSM-5 clinical criteria. Children (mean age: 34.6 months) were diagnosed at IRCCS E. Medea (Bosisio Parini, Italy). We evaluated: the background activity during wakefulness and sleep, the presence and the characteristics (focal or diffuse) of the slow-waves abnormalities and the interictal epileptiform discharges. In 78.0% of cases the EEG recordings were found to be abnormal, particularly during sleep. Paroxysmal slowing and epileptiform abnormalities were found in the 28.4% of the subjects, confirming the high percentage of abnormal polysomnographic EEG recordings in children with ASD. These alterations seem to be more correlated with the characteristics of the underlying pathology than with intellectual disability and epilepsy. In particular, we underline the possible significance of the prevalence of EEG abnormalities during sleep. Moreover, we analyzed the possibility that EEG data reduces the ASD clinical heterogeneity and suggests the exams to be carried out to clarify the etiology of the disorder.

Indexed as

autismEEGepileptiform abnormalitiesparoxysmal abnormalitiessleep

Identifiers

PMID36831889
PMCPMC9954463
OpenAlexW4321365597

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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.