Scientific Institute IRCCS E. Medea
Bosisio Parini, Lecco, 23842, Italy
NCT Number: NCT05269927
Diagnosis and characterization of neurodevelopmental disorders are considered challenging processes because of their complexity, multi-factoriality and heterogeneity. The present project will consider two of the most common neurodevelopmental disorders (i.e. autism spectrum disorders (ASD) and language disorders (LD)), with the aim to overcome these difficulties, by: a) deeply investigating their neuronal correlates; b) identifying multi-domain biomarkers (electrophysiological, genetic, environmental and clinical); c) developing a machine learning algorithm for early diagnosis. To achieve the above mentioned aims a multi-domain dataset will be used, comprising data collected from typically developing infants, infants at high risk for ASD and infants at high risk for LD. The data that will be used have been already collected within other trials performed at the Scientific Institute E. Medea.
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Notify Me5 month–7 month
All sexes
Interventional
Not applicable
Bosisio Parini, Lecco, 23842, Italy
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
resting state EEG
genotypings of twelve CNTNAP2 SNPs from DNA obtained by saliva samples
standardized scales measuring the infants' cognitive, motor and linguistic development administered at 6, 12 and 18. Measures available at 6 and 12 months: a) Bayley Scales of Infant and Toddler Development- Third Edition; b) Griffiths mental development scales (0-2) (GMDS-R); Measures available at 18 months: c) Language Development Survey (LDS); d) "Il PRIMO VOCABOLARIO DEL BAMBINO" (PVB); e) CHILD BEHAVIOR CHECKLIST (CBCL); (f) Modified Checklist for Autism in Toddlers (M-CHAT).
questionnaires administered to parents related to the following environmental factors: a) information about the presence of a clinical diagnosis of neurodevelopmental disorders within first-degree relatives; b) gestational age; c) birth weight; d) parental age and education; e) socio-economic status
Time frame: one year after the end of the recruitment
Power spectral density (PSD) estimated in the delta, theta, alpha, beta and gamma frequency bands of the EEG
Time frame: 18 months after the end of the recruitment
EEG signal coherence
Time frame: 18 months after the end of the recruitment
EEG signal entropy
IRCCS Eugenio Medea
Other
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