EEG abnormalities and clinical phenotypes in pre-school children with autism spectrum disorder

Romero-González, Marina; Navas-Sánchez, Patricia; Marín-Gámez, Ester; Barbancho-Fernández, Miguel Ángel; Fernández-Sánchez, Victoria; Lara-Muñoz, José Pablo; Guzmán‐Parra, José

doi:10.1016/j.yebeh.2022.108619

Cited by 6 publications

(5 citation statements)

References 45 publications

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“…Regarding non-epileptiform SEAs, some authors [ 150 ] assert that they are associated with a less severe phenotype compared with epileptiform SEAs: ASD patients with epileptiform SEAs perform worse on executive functioning assessments and exhibit higher scores in inhibition self-control compared with the ones reporting non-epileptiform SEAs. Among the articles we selected, only two of them relate non-epileptiform SEAs to the phenotype: Akhter, 2021 [ 61 ] reports that they can be found in ASD patients both with ID and without ID and Santarone et al, 2023 [ 54 ] argue that there is a significant association between abnormal background activity during sleep and developmental delay.…”

Section: Discussionmentioning

confidence: 99%

“…This leads us to suppose that epileptiform SEAs may in some way contribute to determining the autistic phenotype, as proposed by El Achkar and Spence [ 156 ]. Moreover, some authors [ 17 , 145 ] maintain that epileptiform SEAs are significantly associated with abnormal development during the first year of life, and Romero-González et al, 2022 [ 150 ] believe that in preschool children, these abnormalities suggest worse development in ASD clinical features. Other authors [ 137 , 145 ] also maintain that epileptiform SEAs correlate with ASD phenotype severity, in particular, with stereotypies and aggressiveness.…”

Section: Discussionmentioning

confidence: 99%

“…Nicotera et al, 2019 [ 145 ], state that these abnormalities are also associated with language impairment and intellectual disability, while Hrdlicka et al, 2003 [ 17 ] maintain that there is no significant correlation with the latter. Romero-González et al, 2022 [ 150 ] report that ASD patients with epileptiform SEAs present more affectation, particularly in the areas of prosocial behaviors and social relationships, and tend to exhibit lower adaptive functioning, higher scores on global executive functioning, ASD severity and total scores of coexisting psychiatric problems, even if they do not reach statistical significance. Regarding autistic regression, several authors [ 17 , 109 , 135 , 140 ] believe that there is no significant association with epileptiform SEAs but rather with epilepsy [ 17 ].…”

Section: Discussionmentioning

confidence: 99%

“…Given what has been reported, several hypotheses attempt to correlate epileptiform SEAs with the pathophysiology of ASD. Some authors maintain that epileptiform discharges, especially if early, with or without seizures, could have a negative impact on brain development, with consequent alteration of cognitive functions and behavior [ 157 ] and also social skills, relational abilities and inhibition control [ 150 ]. Hirosawa et al believe, however, that epileptiform SEAs could have an ambivalent role in the pathophysiology of ASD.…”

Section: Discussionmentioning

confidence: 99%

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Children with Autism Spectrum Disorder and Abnormalities of Clinical EEG: A Qualitative Review

Bosetti,

Ferrini,

Ferrari

et al. 2024

JCM

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Over the last decade, the comorbidity between Autism Spectrum Disorder (ASD) and epilepsy has been widely demonstrated, and many hypotheses regarding the common neurobiological bases of these disorders have been put forward. A variable, but significant, prevalence of abnormalities on electroencephalogram (EEG) has been documented in non-epileptic children with ASD; therefore, several scientific studies have recently tried to demonstrate the role of these abnormalities as a possible biomarker of altered neural connectivity in ASD individuals. This narrative review intends to summarize the main findings of the recent scientific literature regarding abnormalities detected with standard EEG in children/adolescents with idiopathic ASD. Research using three different databases (PubMed, Scopus and Google Scholar) was conducted, resulting in the selection of 10 original articles. Despite an important lack of studies on preschoolers and a deep heterogeneity in results, some authors speculated on a possible association between EEG abnormalities and ASD characteristics, in particular, the severity of symptoms. Although this correlation needs to be more strongly elucidated, these findings may encourage future studies aimed at demonstrating the role of electrical brain abnormalities as an early biomarker of neural circuit alterations in ASD, highlighting the potential diagnostic, prognostic and therapeutic value of EEG in this field.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Children with Autism Spectrum Disorder and Abnormalities of Clinical EEG: A Qualitative Review

Bosetti,

Ferrini,

Ferrari

et al. 2024

JCM

View full text Add to dashboard Cite

show abstract

“…Desde o primeiro relato de vigência simultânea do Transtorno do Espectro Autista (TEA) e de Epilepsia confirmado por Kanner em 1943, foram levantados questionamentos e realizados inúmeros estudos de modo a provar a associação e implicações entre as duas afecções. Atualmente, de acordo com a literatura, acredita-se que o diagnóstico de epilepsia comprovado com TEA varia de 5 -46%, tendo a prevalência em crianças pré-escolares de 9% (ROMERO-GONZÁLEZ et al, 2022).…”

Section: Introductionunclassified

Epilepsia e espectro autista: relação do quadro neurológico na faixa etária pediátrica

Pereira,

Asseis,

Ferreira

et al. 2024

Braz. J. Hea. Rev.

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A epilepsia é um acometimento cerebral duradouro definido por pelo menos duas crises não provocadas ocorridas no período de mais de 24 horas enquanto o autismo é um distúrbio do neurodesenvolvimento caracterizado por dificuldades de interação social, comunicação e comportamentos repetitivos. Esses dois cenários em saúde são avaliados quanto a sua possível relação. Analisar a relação existente entre o espectro autista e a epilepsia, levando em conta pacientes na faixa etária pediátrica. Trata-se de uma revisão integrativa na base de dados PUBMED utilizando os descritores “EPILEPSY AND CHILDREN AND AUTISM’’ para artigos publicados entre 2018 e 2024. Até 60% das crianças diagnosticadas com TEA podem apresentar alterações no eletroencefalograma. A taxa de recorrência em crises únicas, afebris em pacientes pediátricos com TEA pode ser de até de 70,9% enquanto a prevalência conjunta de epilepsia em indivíduos autistas pode variar de 10% a 13% em diferentes estudos. Crianças autistas frequentemente apresentam prevalência significativamente maior de condições médicas como a relação estreita entre o autismo e a epilepsia. Vale ressaltar quanto as alterações no EEG de pacientes com autismo que as alterações na eletroencefalografia nem sempre são indicativas de um diagnóstico de epilepsia.

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Identification of autism spectrum disorder using electroencephalography and machine learning: a review

Ranaut,

Khandnor,

Chand

2024

J. Neural Eng.

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Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by communication barriers, societal disengagement, and monotonous actions. Traditional diagnostic methods for ASD rely on clinical observations and behavioural assessments, which are time -consuming. In recent years, researchers have focused mainly on the early diagnosis of ASD due to the unavailability of recognised causes and the lack of permanent curative solutions. Electroencephalography (EEG) research in ASD offers insight into the neural dynamics of affected individuals. This comprehensive review examines the unique integration of EEG, machine learning, and statistical analysis for ASD identification, highlighting the promise of an interdisciplinary approach for enhancing diagnostic precision. The comparative analysis of publicly available EEG datasets for ASD, along with local data acquisition methods and their technicalities, is presented in this paper. This study also compares preprocessing techniques, and feature extraction methods, followed by classification models and statistical analysis which are discussed in detail. In addition, it briefly touches upon comparisons with other modalities to contextualize the extensiveness of ASD research. Moreover, by outlining research gaps and future directions, this work aims to catalyse further exploration in the field, with the main goal of facilitating more efficient and effective early identification methods that may be helpful to the lives of ASD individuals.

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EEG abnormalities and clinical phenotypes in pre-school children with autism spectrum disorder

Cited by 6 publications

References 45 publications

Children with Autism Spectrum Disorder and Abnormalities of Clinical EEG: A Qualitative Review

Children with Autism Spectrum Disorder and Abnormalities of Clinical EEG: A Qualitative Review

Epilepsia e espectro autista: relação do quadro neurológico na faixa etária pediátrica

Identification of autism spectrum disorder using electroencephalography and machine learning: a review

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