Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/15893
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dc.contributor.authorMaksimovic B.-
dc.contributor.authorJelicic, Ljiljana-
dc.contributor.authorMarisavljević M.-
dc.contributor.authorFatic N.-
dc.contributor.authorGavrilovic, Aleksandar-
dc.contributor.authorSubotić M.-
dc.date.accessioned2023-02-08T16:01:54Z-
dc.date.available2023-02-08T16:01:54Z-
dc.date.issued2022-
dc.identifier.issn--
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/15893-
dc.description.abstractEvaluation of the rehabilitation efficacy may be an essential indicator of its further implementation and planning. The research aim is to examine whether the estimation of EEG correlates of auditory-verbal processing in a child with overlapping autism spectrum disorder (ASD) and specific language impairment (SLI) symptoms may be a predictor of the treatment efficacy in conditions when behavioral tests do not show improvement during the time course. The prospective case report reports follow-up results in a child aged 36 to 66 months. During continuous integrative therapy, autism risk index, cognitive, speech–language, sensory, and EEG correlates of auditory-verbal information processing are recorded in six test periods, and their mutual interrelation was analyzed. The obtained results show a high statistically significant correlation of all observed functions with EEG correlates related to the difference between the average mean values of theta rhythm in the left (F1, F3, F7) and right (F2, F4, F8) frontal region. The temporal dynamics of the examined processes point to the consistency of the evaluated functions increasing with time flow. These findings indicate that EEG correlates of auditory-verbal processing may be used to diagnose treatment efficacy in children with overlapping ASD and SLI.-
dc.rightsinfo:eu-repo/semantics/restrictedAccess-
dc.sourceDiagnostics-
dc.titleCan EEG Correlates Predict Treatment Efficacy in Children with Overlapping ASD and SLI Symptoms: A Case Report-
dc.typearticle-
dc.identifier.doi10.3390/diagnostics12051110-
dc.identifier.scopus2-s2.0-85129612219-
Appears in Collections:Faculty of Medical Sciences, Kragujevac

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