Association Between Magnetoencephalographic Interictal Epileptiform Discharge and Cognitive Function in Young Children With Typical Development and With Autism Spectrum Disorders

Electroencephalograms of individuals with autism spectrum disorders (ASD) show higher rates of interictal epileptiform discharges (IEDs), which are known to have an inverse association with cognitive function in typically developed (TD) children. Nevertheless, that phenomenon has not been investigated adequately in children with ASD. From university and affiliated hospitals, 163 TD children (84 male, 79 female, aged 32–89 months) and 107 children (85 male, 22 female, aged 36–98 months) with ASD without clinical seizure were recruited. We assessed their cognitive function using the Kaufman Assessment Battery for Children (K-ABC) and recorded 10 min of MEG. Original waveforms were visually inspected. Then a linear regression model was applied to evaluate the association between the IED frequency and level of their cognitive function. Significantly higher rates of IEDs were found in the ASD group than in the TD group. In the TD group, we found significant negative correlation between mental processing scale scores (MPS) and the IED frequency. However, for the ASD group, we found significant positive correlation between MPS scores and the IED frequency. In terms of the achievement scale, correlation was not significant in either group. Although we found a correlative rather than a causal effect, typically developed children with higher IED frequency might better be followed up carefully. Furthermore, for children with ASD without clinical seizure, clinicians might consider IEDs as less harmful than those observed in TD children

Predictors of Time to Discharge in Patients Hospitalized for Behavioral and Psychological Symptoms of Dementia

Background/Aims: In Japan, more than 50,000 patients with dementia are housed in psychiatric facilities, a trend precipitated by prolonged hospitalizations. This study aimed to determine predictors for the time to discharge in patients hospitalized for behavioral and psychological symptoms of dementia (BPSD). Methods: Medical charts of patients admitted to an acute psychogeriatric ward for treatment of BPSD were reviewed. Cox's proportional hazards model was used to evaluate relationships between active behavioral problems and/or demographics at the time of admission, and the time until favorable discharge (FD), defined as discharge to the patient's own home or a care facility. Results: For the 402 study patients included in this study, median time to FD was 101 days. In addition to family and residential factors, multivariate analysis identified higher Mini-Mental State Examination scores as independent clinical predictors for a shorter hospital stay, whereas male gender and combative behavior as the primary reason for hospital admission were predictors for a longer hospital stay. Conclusion: Clinical characteristics can be predictive of the time to discharge for patients with BPSD. Earlier interventions and enhanced care strategies may be needed for patients with a lower likelihood of FD

Different associations between intelligence and social cognition in children with and without autism spectrum disorders.

Autism spectrum disorders (ASD) are characterized by impaired social cognition and communication. In addition to social impairment, individuals with ASD often have intellectual disability. Intelligence is known to influence the phenotypic presentation of ASD. Nevertheless, the relation between intelligence and social reciprocity in people with ASD remains unclear, especially in childhood. To elucidate this relation, we analyzed 56 typically developing children (35 male, 21 female, aged 60-91 months) and 46 children with ASD (35 male, 11 female, aged 60-98 months) from university and affiliated hospitals. Their cognitive function was evaluated using the Kaufman Assessment Battery for Children. Their social cognition was assessed using the Social Responsiveness Scale. We used linear regression models to ascertain whether the associations between intelligence and social cognition of typically developing children and children with ASD are significantly different. Among the children with ASD, scores on the Kaufman Assessment Battery for Children correlated significantly with social cognition, indicating that higher intelligence is associated with better social cognition. For typically developing children, however, no significant correlation was found. One explanation might be that children with ASD fully use general intelligence for successful learning in social cognition, although extensive use of intelligence might not be necessary for TD children. Alternatively, autistic impairment in social cognition can be compensated by intelligence despite a persistent deficit in social cognition. In either case, when using the SRS as a quantitative phenotype measure for ASD, the influence of intelligence must be considered