Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by difficulties in social communication and repetitive behaviours. Diagnosis is still based primarily on behavioural indicators, which only become fully apparent after the age of two. This delay limits the effectiveness of early interventions, which have been shown to significantly improve children's cognitive and social development. In this context, electroencephalography (EEG) represents a potential biomarker for early diagnosis, thanks to its non-invasive, low cost, and easily applicable nature, even in the first months of life. Several studies have highlighted recurrent alterations in the frequency bands of children with ASD: increased Delta and Theta power, reduced Alfa, and limited Gamma growth. This pattern, known as a U-shaped profile, reflects atypical cortical maturation and imbalances in neurochemical systems, particularly those related to GABA, glutamate, dopamine, and serotonin. In addition to supporting early diagnosis, EEG is also a therapeutic monitoring tool, as it allows the effectiveness of rehabilitation interventions to be assessed and personalized strategies to be developed. With greater standardization of protocols and integration with other biomarkers, EEG could become a clinical reference point in the management of autism.
Il disturbo dello spettro autistico (ASD) è una condizione del neurosviluppo caratterizzata da difficoltà nella comunicazione sociale e dalla presenza di comportamenti ripetitivi. La diagnosi si basa ancora prevalentemente su indicatori comportamentali, che diventano pienamente evidenti solo dopo i due anni di vita. Questo ritardo limita l’efficacia degli interventi precoci, i quali hanno dimostrato di migliorare significativamente lo sviluppo cognitivo e sociale dei bambini. In questo contesto, l’elettroencefalogramma (EEG) rappresenta un potenziale biomarcatore per la diagnosi precoce, grazie alla sua natura non invasiva, economica e facilmente applicabile anche nei primi mesi di vita. Diversi studi hanno evidenziato come nei bambini con ASD vi siano delle alterazioni ricorrenti nelle tipiche bande di frequenza: incremento della potenza Delta e Theta, riduzione in Alfa e crescita limitata della Gamma. Questo andamento, definito profilo a U, riflette una maturazione corticale atipica e squilibri nei sistemi neurochimici, in particolare quelli legati a GABA, glutammato, dopamina e serotonina. Oltre a supportare la diagnosi precoce, l’EEG si configura anche come strumento di monitoraggio terapeutico, poiché consente di valutare l’efficacia degli interventi riabilitativi e di orientare strategie personalizzate. Con una maggiore standardizzazione dei protocolli e l’integrazione con altri biomarcatori, l’EEG potrà diventare un riferimento clinico nella presa in carico dell’autismo.
Analisi dell'EEG e applicazione per la diagnosi precoce dell'autismo infantile
ZUANON, ADELE
2024/2025
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by difficulties in social communication and repetitive behaviours. Diagnosis is still based primarily on behavioural indicators, which only become fully apparent after the age of two. This delay limits the effectiveness of early interventions, which have been shown to significantly improve children's cognitive and social development. In this context, electroencephalography (EEG) represents a potential biomarker for early diagnosis, thanks to its non-invasive, low cost, and easily applicable nature, even in the first months of life. Several studies have highlighted recurrent alterations in the frequency bands of children with ASD: increased Delta and Theta power, reduced Alfa, and limited Gamma growth. This pattern, known as a U-shaped profile, reflects atypical cortical maturation and imbalances in neurochemical systems, particularly those related to GABA, glutamate, dopamine, and serotonin. In addition to supporting early diagnosis, EEG is also a therapeutic monitoring tool, as it allows the effectiveness of rehabilitation interventions to be assessed and personalized strategies to be developed. With greater standardization of protocols and integration with other biomarkers, EEG could become a clinical reference point in the management of autism.| File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/92603