Resting-state EEG alpha rhythm spectral power in children with specific language impairment: a cross-sectional study.

PURPOSE: This study investigated EEG alpha rhythm spectral power in children with Specific Language Impairment (SLI) and compared it to typically developing children to better understand the electrophysiological characteristics of this disorder. Specifically, we explored resting-state EEG, because there are studies that point to it being linked to speech and language development. METHODS: EEG recordings of 30 children diagnosed with specific language impairment and 30 typically developing children, aged 4.0-6.11 years, were carried out under eyes closed and eyes open conditions. Differences in alpha rhythm spectral power in relation to brain topography and experimental conditions were calculated. RESULTS: In the eyes closed condition, alpha rhythm spectral power was statistically significantly lower in children with specific language impairment in the left temporal (T5) and occipital electrodes (O1, O2) than in typically developing children. In the eyes open condition, children with SLI showed significantly lower alpha rhythm spectral power in the left temporal (T3, T5), parietal (P3, Pz), and occipital electrodes (O1, O2). There were no statistically significant differences between the groups in relation to the relative change (the difference between average alpha rhythm spectral power during eyes closed condition and average alpha rhythm spectral power during eyes open condition divided by average alpha rhythm spectral power during eyes closed condition) in the alpha rhythm spectral power between the conditions. CONCLUSION: Lower alpha rhythm spectral power in the left temporal, left, midline parietal, and occipital brain regions could be a valuable electrophysiological marker in children with SLI. Further investigation is needed to examine the connection between EEG alpha spectral power and general processing and memory deficits in patients with SLI.

EEG Correlates of Cognitive Functions in a Child with ASD and White Matter Signal Abnormalities: A Case Report with Two-and-a-Half-Year Follow-Up.

This research aimed to examine the EEG correlates of different stimuli processing instances in a child with ASD and white matter signal abnormalities and to investigate their relationship to the results of behavioral tests. The prospective case study reports two and a half years of follow-up data from a child aged 38 to 66 months. Cognitive, speech-language, sensory, and EEG correlates of auditory-verbal and auditory-visual-verbal information processing were recorded during five test periods, and their mutual interrelation was analyzed. EEG findings revealed no functional theta frequency range redistribution in the frontal regions favoring the left hemisphere during speech processing. The results pointed to a positive linear trend in the relative theta frequency range and a negative linear trend in the relative alpha frequency range when listening to and watching the cartoon. There was a statistically significant correlation between EEG signals and behavioral test results. Based on the obtained results, it may be concluded that EEG signals and their association with the results of behavioral tests should be evaluated with certain restraints considering the characteristics of the stimuli during EEG recording.

Arterial Presumed Perinatal Ischemic Stroke: A Mini Review and Case Report of Cognitive and Speech-Language Profiles in a 5-Year-Old Girl.

Arterial presumed perinatal ischemic stroke is a type of perinatal stroke that emerges due to late or delayed diagnostics of perinatal or neonatal arterial ischemic stroke. It is usually recognized before one year of life due to hemiparesis. This injury may lead to cognitive, behavioral, or motor symptoms, and life-long neurodevelopmental disabilities. In this case report, we describe a five-year-old girl with a history of arterial presumed perinatal ischemic stroke in the left hemisphere, which adversely affected her cognitive and language outcomes. The girl's cognitive development has been uneven, ranging from below average to average, and she had specific language acquisition deficits in comprehension, vocabulary, morphology, use of complex syntax, and narrative structure. The obtained results point to the specificity of each child whose development is influenced not only by the timing of the brain lesion and the degree of damage, but also by the child's neurobiological capacity. In addition, we provide an updated review of the literature that includes information on epidemiology, risk factors, diagnostics, clinical manifestations, outcomes, and potential therapies. The present article highlights the importance of early intervention and systematic monitoring of children with perinatal stroke with the aim of improving the child's development.

Impact of epilepsy duration, seizure control and EEG abnormalities on cognitive impairment in drug-resistant epilepsy patients.

Cognitive impairment frequently occurs in epilepsy patients. Patients with drug-resistant epilepsy (DRE) have poor drug responsivity and higher seizure frequency which consequently lead to brain damage and may have implications on cognitive status. In the present study, we assessed a frequency and degree of cognitive impairment in 52 patients with drug-sensitive epilepsy (DSE) and 103 DRE patients at three time points (baseline, after 12 and 18 months). Degree of cognitive decline was assessed with Montreal Cognitive Assessment (MoCA) scale. We examined the possible correlation between demographic and clinical characteristics and cognitive deterioration in epilepsy patients. Patients in the DRE group had significantly lower MoCA score than patients in the DSE group at baseline (28.83 ± 2.05 vs. 29.69 ± 0.61, p = 0.003), after 12 months (27.36 ± 2.40 vs. 29.58 ± 1.22, p = 0.000) and 18 months (26.86 ± 2.73 vs. 29.33 ± 1.47, p = 0.000). Patients with DRF epilepsy had significantly lower MoCA score than patients with DSF epilepsy at three time points (28.71 ± 2.48 vs. 29.86 ± 0.35, p = 0.015; 27.22 ± 2.72 vs. 29.52 ± 1.37, p = 0.000; 26.80 ± 2.99 vs. 29.31 ± 1.56, p = 0.000). After 12 and 18 months of follow-up, patients with DRG epilepsy had significantly lower MoCA score than patients with DSG epilepsy (27.52 ± 2.01 vs. 29.65 ± 1.02, p = 0.000; 26.94 ± 2.43 vs. 29.35 ± 1.40, p = 0.000). Illness duration negatively correlated with cognitive status (p = 0.005); seizure control and EEG findings positively correlated with MoCA score (p = 0.000). Illness duration, seizure control, drug responsivity, and EEG findings are significant predictors of MoCA score (p < 0.05). Clinicians have to pay attention to patients with drug-resistant epilepsy and concepts of aggressive treatment to minimize the adverse effects of epilepsy on cognition.