Robert C Carr, Jade M Jenkins, Tyler W Watts, Ellen S Peisner-Feinberg, Kenneth A Dodge
Investigating if high-quality kindergarten teachers sustain the pre-K boost to children's emergent literacy skill development in North Carolina
Child development
autism spectrum disorder asd complex neurodevelopment disease characterized impaired social cognitive abilities despite prevalence reliable biomarkers identifying individuals asd lacking recent studies suggested alterations functional connectivity brain asd patients could serve potential indicators however previous research focused static functionalconnectivity analysis neglecting temporal dynamics spatial interactions address gap study integrated dynamic functional connectivity local graphtheory indicators featureselection ranking approach identify biomarkers asd diagnosis demographic information well resting sleeping electroencephalography eeg data collected 20 asd patients 25 controls eeg data preprocessed segmented five subbands delta theta alpha1 alpha2 beta functionalconnection matrices created calculating coherence staticnodestrength indicators determined channel slidingwindow approach varying widths moving steps used scan eeg series dynamic local graphtheory indicators computed including mean standard deviation median interquartile range kurtosis skewness node strength resulted 95 features 5 subbands 19 channels indicator supportvectormachine recurrencefeatureelimination method used identify discriminative feature subset dynamic graphtheory indicators 3s window width 50 moving step achieved highest classification performance average accuracy 952 notably mean median interquartilerange indicators condition reached 100 accuracy least number selected features distribution selected features showed preference frontal region beta subband window width 3 50 moving step emerged optimal parameters dynamic graphtheory analysis anomalies dynamic local graphtheory indicators frontal lobe beta subband may serve valuable biomarkers diagnosing autism spectrum disorders