Severe speech impairment is considered a common problem among preschoolers and elementary school students with disabilities. Such speech disorders can hinder a child's full development, as well as interfere with socialization and productive learning. This article presents the results of a study examining the characteristics of emotional response, recognition, and communicative activity in children with severe speech impairments. A comparative analysis of the results of emotional-personal diagnostics was conducted for children with severe speech impairments and children with typical development. The study results show that subjects with severe speech impairments exhibit a statistically significant decrease in the level of emotion recognition and communicative activity compared to children with typical development. With age, the severity of emotional-personal disorders in children with severe speech impairments decreases: the level of recognition of emotions in others increases; anxiety decreases; and the level of communicative activity increases. Hypotheses are put forward regarding the causes of the identified characteristics and differences in the compared groups of children within the framework of the concept of patterns of mental development in children with severe speech impairments.
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This study presents the results of a pilot study of the potential use of a portable low-channel EEG system for recording and discriminating brain states. The work consists of two stages: 1) comparing different EEG recording configurations (with and without conductive gel), 2) developing and testing a speech rehabilitation paradigm using the optimal configuration (based on the first stage). We demonstrated that recordings without gel significantly impede EEG pattern classification accuracy. Then, using the word-picture matching paradigm developed in our laboratory, we examined evoked responses and the feasibility of distinguishing them using machine learning methods. We found that the word-picture matching paradigm elicits a distinct evoked potential in the EEG of healthy participants. Furthermore, to minimize the classifier calibration time for each individual participant, we attempted to pretrain the classifier using data from independent participants. However, pretraining the classifier did not lead to a significant improvement in classification performance. Although further improvement is required to increase classification performance, this pilot study is one of the few aimed at the practical application of these results in rehabilitation practice.
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Difficulties in speech sound processing are frequently observed in individuals with autism spectrum disorder (ASD) and are most pronounced under challenging listening conditions (e.g., in noise). It has been suggested that impaired speech processing in ASD may be linked to functional and morphological abnormalities at the brainstem level, although conclusive evidence is lacking. The frequency-following response (FFR) reflects synchronous neural activity in the auditory brainstem elicited by sound stimulation and may provide insights into the integrity of subcortical auditory processing in individuals with ASD. The aims of the present study were (1) to establish and validate FFR recording procedures in a cohort of neurotypical children and adults, and (2) to obtain preliminary data on potential differences in temporal and spectral characteristics of the FFR between children with ASD and typically developing (TD) children.FFRs were recorded in response to the speech syllable [da] in 28 adults (mean age 25.1 ± 3.3 years), 15 typically developing children (9.9 ± 1.6 years), and 20 children with ASD (9.5 ± 1.5 years) using the protocol described by Skoe et al. (2015). Data analysis revealed a satisfactory signal-to-noise ratio (SNR), allowing reliable characterization of FFR wave latencies and spectral properties across all groups. Consistent with previous reports, adults showed lower wave amplitudes and overall spectral power compared to children. SNR was higher in adults relative to children, but no significant difference was observed between TD children and children with ASD. No group-level differences in FFR measures were found; observed tendencies did not remain significant after correction for multiple comparisons.These results suggest the absence of pronounced abnormalities in brainstem-level processing of speech signals in children with ASD at the group level. Future studies aimed at improving SNR in FFR recordings, expanding sample sizes, and assessing the severity of speech perception difficulties may help identify subgroups of children in whom such difficulties are associated with brainstem dysfunction.
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