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Background: In children, relationships between developmental disorders such as attention-deficit hyperactivity disorder (ADHD) and autism spectrum disorder and allergic diseases remain controversial, because these diseases show age- and sex-related differences. A proper understanding of the relationships between developmental disorders and allergic diseases should improve medical care for both diseases. We confirmed the prevalence of allergic diseases in elementary school-age children with developmental disorders by grade and sex., Methods: The subjects were 446 lower grade and 312 upper grade elementary school-age children who had visited our hospital. The prevalence of allergic diseases among subjects with and without developmental disorders by grade and sex was examined using the diagnostic names on medical records., Results: The prevalence of allergic diseases was significantly higher in lower grade boys and girls with developmental disorders than in those without developmental disorders (boys: OR 3.22, 95%; CI 1.49-6.95; girls: OR: 3.87, 95% CI: 1.27-11.82). The prevalence of allergic diseases was significantly higher in higher grade boys with developmental disorders than in those without developmental disorders (OR: 3.46, 95% CI: 1.59-7.53). Multiple logistic regression analysis in lower grades revealed that ADHD correlated with bronchial asthma (adjusted OR: 3.72, 95% CI: 1.42-9.69) and that autism spectrum disorder correlated with atopic dermatitis (adjusted OR: 4.26, 95% CI: 1.36-13.36). Analyses of children in the upper grades showed that ADHD correlated with atopic dermatitis (adjusted OR: 5.06, 95% CI: 1.28-20.05)., Conclusions: Elementary school-age children with developmental disorders were more likely to have allergic diseases. The types of allergic diseases related to developmental disorders differed by grade and sex., (© 2022 Japan Pediatric Society.)

Background: Elucidating developmental changes in the symptoms of autism spectrum disorder (ASD) is important to support individuals with ASD. However, no report has clarified the developmental changes in attention to social information for a broad age range. The aim of this study was to investigate the developmental changes in attention to social information from early childhood to adolescence in individuals with ASD and typically developed (TD) children., Methods: We recruited children with ASD (n = 83) and TD participants (n = 307) between 2 and 18 years of age. Using the all-in-one-eye-tracking system, Gazefinder, we measured the percentage fixation time allocated to areas of interest (AoIs) depicted in movies (the eyes and mouth in movies of a human face with/without mouth motion, upright and inverted biological motion in movies showing these stimuli simultaneously, people and geometry in preference paradigm movies showing these stimuli simultaneously, and objects with/without finger-pointing in a movie showing a woman pointing toward an object). We conducted a three-way analysis of variance, 2 (diagnosis: ASD and TD) by 2 (sex: male and female) by 3 (age group: 0-5, 6-11, and 12-18 years) and locally weighted the scatterplot smoothing (LOESS) regression curve on each AoI., Results: In the face stimuli, the percentage fixation time to the eye region for the TD group increased with age, whereas the one for the ASD group did not. In the ASD group, the LOESS curves of the gaze ratios at the eye region increased up to approximately 10 years of age and thereafter tended to decrease. For the percentage fixation time to the people region in the preference paradigm, the ASD group gazed more briefly at people than did the TD group., Limitations: It is possible that due to the cross-sectional design, the degree of severity and of social interest might have differed according to the subjects' age., Conclusions: There may be qualitative differences in abnormal eye contact in ASD between individuals in early childhood and those older than 10 years.

Background: The aim of this study was to determine the frequency of central nervous system comorbidities in children with neurofibromatosis type 1 (NF1)., Methods: We performed a nationwide survey to investigate neurological comorbidities in 3-15-year-old children with NF1 in Japan by sending questionnaires to pediatricians and pediatric neurologists. A secondary questionnaire was sent to the parents of identified NF1 patients to assess neurological comorbidities including headache, attention deficit-hyperactivity disorder (ADHD) Rating Scale (RS), and the Social Responsiveness Scale 2., Results: The primary survey identified 760 NF1 patients, and the parents of 565 patients were sent the secondary questionnaire. The parental response rate was 25.7% (145; 63 girls, 81 boys, one unspecified). Among the patients, 42.9% (55/128; 35 girls, 20 boys) were reported to exhibit intellectual problems. On the ADHD-RS, 40.2% (47/117) of NF1 patients aged 6-15 had ADHD (RS score >93rd percentile), with a rate of 47.7% in boys and 30.8% in girls. Furthermore, 20.2% of patients had suspected autism spectrum disorder (29/143; 10 girls, 19 boys), with Social Responsiveness Scale score ≥76. Headache was reported by 49.6% (61/123) of children over 5 years old, and 25.2% (31/123; 10 girls, 21 boys) reported migraine. Other neurological comorbidities included 20 cases of epilepsy (13.8%), 11 cases of optic nerve glioma (7.6%), five cases of brain tumor (3.4%), six cases of cerebrovascular disease (4.1%), and two cases of hydrocephalus (1.4%)., Conclusion: Intellectual problems, ADHD, autism spectrum disorder, and migraine are major neurological comorbidities in NF1., (© 2017 Japan Pediatric Society.)

Atypical eye gaze is an established clinical sign in the diagnosis of autism spectrum disorder (ASD). We propose a computerized diagnostic algorithm for ASD, applicable to children and adolescents aged between 5 and 17 years using Gazefinder, a system where a set of devices to capture eye gaze patterns and stimulus movie clips are equipped in a personal computer with a monitor. We enrolled 222 individuals aged 5–17 years at seven research facilities in Japan. Among them, we extracted 39 individuals with ASD without any comorbid neurodevelopmental abnormalities (ASD group), 102 typically developing individuals (TD group), and an independent sample of 24 individuals (the second control group). All participants underwent psychoneurological and diagnostic assessments, including the Autism Diagnostic Observation Schedule, second edition, and an examination with Gazefinder (2 min). To enhance the predictive validity, a best-fit diagnostic algorithm of computationally selected attributes originally extracted from Gazefinder was proposed. The inputs were classified automatically into either ASD or TD groups, based on the attribute values. We cross-validated the algorithm using the leave-one-out method in the ASD and TD groups and tested the predictability in the second control group. The best-fit algorithm showed an area under curve (AUC) of 0.84, and the sensitivity, specificity, and accuracy were 74, 80, and 78%, respectively. The AUC for the cross-validation was 0.74 and that for validation in the second control group was 0.91. We confirmed that the diagnostic performance of the best-fit algorithm is comparable to the diagnostic assessment tools for ASD. [ABSTRACT FROM AUTHOR]

Abstract: Autism spectrum disorder (ASD) has a close relationship with epilepsy. A previous study showed complex partial seizures (CPS) to be the most frequent type of epileptic seizures in cases of ASD. Patients with childhood-onset CPS were retrospectively studied to investigate the prevalence of ASD and to characterize the association between CPS and ASD. The study cohort comprised 86 patients with CPS manifesting at 1 to 9years of age. Symptomatic CPS and Panayiotopoulos syndrome were excluded. Patients with ASD (ASD group) were compared with those without ASD (non-ASD group). Of the 86 patients with childhood-onset CPS, 36 (42%) also had ASD. This ASD group was predominantly male (68.6%), with higher rates of intellectual disability (69%), and reported frequent seizures (60% had monthly or more frequent seizures). CPS without secondary generalization were more common in the ASD group (69%) than in the non-ASD group (36%), as were frontal paroxysms on EEG (54.5% vs 30%, respectively). In the non-ASD group, 82% of cases had been seizure free for 2 or more years, in comparison to 50% in the ASD group. ASD is frequently associated with childhood-onset CPS. Male gender, cognitive deficits, frequent seizures, and frontal paroxysms are risk factors for the association of ASD with CPS. [Copyright &y& Elsevier]

Abstract: Autism spectrum disorder (ASD) has a close relationship with epilepsy. This study retrospectively examined patients with epilepsy associated with ASD. Among the 519 patients with epilepsy, 79 patients (15.2%) had ASD. Sixty-two patients had idiopathic ASD and 17 had secondary ASD. The epilepsy patients with idiopathic ASD were retrospectively analyzed. There were 47 males and 15 females, ranging from 2 to 43years of age (median 11years). The most frequent age at the onset of seizures was 4years, and 85% occurred before 10. ASD was detected after the onset of epilepsy in 29 cases (46.8%), and eight of them had been overlooked for more than five years. Most of these were high-functioning ASD cases. The most frequent type of seizure was a complex partial seizure (CPS; 68%). Paroxysmal activities on EEG were localized in the frontal area in about half of the cases. Multiple anti-epileptic drugs were used in 33.8% cases (two in 17.7%, three in 16.1%), and 67.3% of the patients were seizure-free for more than two years. An amelioration of the autistic symptoms occurred after epilepsy treatment in five cases (8%). CPS with frontal paroxysms occurring from one to nine years of age seems to be characteristic of epilepsy associated with ASD. [Copyright &y& Elsevier]