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Background: Autism spectrum disorder (ASD) is characterized by impaired social communication and interaction, and stereotyped, repetitive behaviour and sensory interests. To date, there is no effective medication that can improve social communication and interaction in ASD, and effect sizes of behaviour-based psychotherapy remain in the low to medium range. Consequently, there is a clear need for new treatment options. ASD is associated with altered activation and connectivity patterns in brain areas which process social information. Transcranial direct current stimulation (tDCS) is a technique that applies a weak electrical current to the brain in order to modulate neural excitability and alter connectivity. Combined with specific cognitive tasks, it allows to facilitate and consolidate the respective training effects. Therefore, application of tDCS in brain areas relevant to social cognition in combination with a specific cognitive training is a promising treatment approach for ASD. Methods: A phase-IIa pilot randomized, double-blind, sham-controlled, parallel-group clinical study is presented, which aims at investigating if 10 days of 20-min multi-channel tDCS stimulation of the bilateral tempo-parietal junction (TPJ) at 2.0 mA in combination with a computer-based cognitive training on perspective taking, intention and emotion understanding, can improve social cognitive abilities in children and adolescents with ASD. The main objectives are to describe the change in parent-rated social responsiveness from baseline (within 1 week before first stimulation) to post-intervention (within 7 days after last stimulation) and to monitor safety and tolerability of the intervention. Secondary objectives include the evaluation of change in parent-rated social responsiveness at follow-up (4 weeks after end of intervention), change in other ASD core symptoms and psychopathology, social cognitive abilities and neural functioning post-intervention and at follow-up in order to explore underlying neural and cognitive mechanisms. Discussion: If shown, positive results regarding change in parent-rated social cognition and favourable safety and tolerability of the intervention will confirm tDCS as a promising treatment for ASD core-symptoms. This may be a first step in establishing a new and cost-efficient intervention for individuals with ASD.
DNA methylation profiles of aggressive behavior may capture lifetime cumulative effects of genetic, stochastic, and environmental influences associated with aggression. Here, we report the first large meta-analysis of epigenome-wide association studies (EWAS) of aggressive behavior (N = 15,324 participants). In peripheral blood samples of 14,434 participants from 18 cohorts with mean ages ranging from 7 to 68 years, 13 methylation sites were significantly associated with aggression (alpha = 1.2 × 10−7; Bonferroni correction). In cord blood samples of 2425 children from five cohorts with aggression assessed at mean ages ranging from 4 to 7 years, 83% of these sites showed the same direction of association with childhood aggression (r = 0.74, p = 0.006) but no epigenome-wide significant sites were found. Top-sites (48 at a false discovery rate of 5% in the peripheral blood meta-analysis or in a combined meta-analysis of peripheral blood and cord blood) have been associated with chemical exposures, smoking, cognition, metabolic traits, and genetic variation (mQTLs). Three genes whose expression levels were associated with top-sites were previously linked to schizophrenia and general risk tolerance. At six CpGs, DNA methylation variation in blood mirrors variation in the brain. On average 44% (range = 3–82%) of the aggression–methylation association was explained by current and former smoking and BMI. These findings point at loci that are sensitive to chemical exposures with potential implications for neuronal functions. We hope these results to be a starting point for studies leading to applications as peripheral biomarkers and to reveal causal relationships with aggression and related traits.
Background: Both selective mutism (SM) and social anxiety disorder (SAD) are severe pediatric anxiety disorders with the common trait of behavioral inhibition (BI). The underlying pathophysiology of these disorders remains poorly understood, however converging evidence suggests that alterations in several peripheral molecular pathways might be involved. In a pilot study, we investigated alterations in plasma molecular markers (dipeptidyl peptidase-4 [DPPIV], interleukin-6 [IL-6], tumor necrosis factor-β [TNF-β] and neuropeptide-Y [NPY]) in children with SM, SAD, and healthy controls, as well as the correlation of these markers to symptom severity. Methods: We included 51 children and adolescents (aged 5–18 years; n = 29 girls): n = 20 children in the SM-, n = 16 in the SAD- and n = 15 in the control-group (CG). Peripheral blood samples were analyzed for DPPIV, IL-6, TNF-β, and NPY concentrations. Diverse psychometric measures were used for BI, anxiety, and mutism symptoms. Results: Lower DPPIV-levels were correlated with more anxiety symptoms. However, we could not find a difference in any molecular marker between the patients with SAD and SM in comparison to the CG. Conclusion: DPPIV is proposed as relevant marker for child and adolescent anxiety. Investigating the pathophysiology of SM and SAD focusing on state and trait variables as anxiety or BI might help better understanding the underlying mechanisms of these disorders. Further studies with especially larger cohorts are needed to validate the current pilot-findings.
Sprach- und Sprechstörungen kommen bei zahlreichen Kindern vor und werden in der ICD-11 analog zur ICD-10 als Entwicklungsstörungen im Kapitel 6 (Psychische, Verhaltens- und Entwicklungsstörungen) klassifiziert. International sind bislang die ICD-10-Kriterien nicht von allen Professionen, die sich mit Sprach- und Sprechstörungen klinisch oder im Rahmen der Forschung beschäftigen, akzeptiert. Sie werden einerseits als zu wenig differenziert hinsichtlich der unterschiedlichen Sprachkomponenten vonseiten der Linguistik, Sprachtherapie oder Logopädie erlebt. Zum anderen wird die unklare Abgrenzung organisch bedingter Sprach- und Sprechprobleme von der Sprachentwicklungsstörung vonseiten der Medizin teilweise kritisch bewertet. In dem vorliegenden Artikel wird deshalb einerseits die Klassifikation von Sprach- und Sprechproblemen und -störungen in der ICD-11 im Vergleich zur ICD-10 vorgenommen. Wesentlich erscheint hier die in der ICD-11 neu eingeführte Differenzierung in „primäre“ und „sekundäre“ Neuroentwicklungsstörungen. Zum anderen erfolgt aber auch eine Auseinandersetzung mit dem DSM-5 sowie anderen Klassifikationsvorschlägen vonseiten der englischsprachigen Sprachtherapie (CATALISE-2) und der deutschsprachigen Pädaudiologie („phonologische Wahrnehmungsstörung“) sowie der Vorschlag einer Ergänzung der aktuellen ICD-11-Klassifikation hinsichtlich konkreter sprachlicher Einschränkungen bei einem Kind mit Sprachentwicklungsstörung, basierend auf einer ausführlichen Diagnostik. Wir hoffen, mit dem Artikel so den Weg für eine berufsübergreifende Klassifikation von Sprach- und Sprechstörungen nach ICD-11 zu bahnen, damit perspektivisch alle Berufsgruppen, die Diagnostik und Therapie der betroffenen Personen anbieten, eine vergleichbare Terminologie verwenden. Diese vergleichbare Terminologie soll sowohl die klinische Versorgung verbessern als auch die unterschiedlichen Forschungsansätze und -richtungen vergleichbarer machen.
Intention attribution in children and adolescents with autism spectrum disorder: an EEG study
(2021)
The ability to infer intentions from observed behavior and predict actions based on this inference, known as intention attribution (IA), has been hypothesized to be impaired in individuals with autism spectrum disorder (ASD). The underlying neural processes, however, have not been conclusively determined. The aim of this study was to examine the neural signature of IA in children and adolescents with ASD, and to elucidate potential links to contextual updating processes using electroencephalography. Results did not indicate that IA or early contextual updating was impaired in ASD. However, there was evidence of aberrant processing of expectation violations in ASD, particularly if the expectation was based on IA. Results are discussed within the context of impaired predictive coding in ASD.
Abstract: The Children's Communication Checklist-2 (CCC-2) is often applied to assess pragmatic language impairment which is highly prevalent in autism spectrum disorder (ASD) and several mental health conditions. We replicated previous findings on the limited applicability of the CCC-2 in clinical samples and the inconsistent findings concerning the factor structure. The aim of the present study was, thus, to develop a concise, simplified, and revised version of the CCC-2 in a large German-speaking sample. Four groups of children and adolescents aged 4 to 17 years were included: ASD (n = 195), intellectual disability (ID, n = 83), diverse mental health conditions (MHC, n = 144) and a typically developing control group (TD, n = 417). We reduced the original number of items from 70 to 39, based on item analysis, exploratory factor analysis and the exclusion of communication-unrelated items. The revised version, CCC-R (α = 0.96), consists of two empirically derived factors: a pragmatic-language (α = 0.96) and a grammatical-semantic-language factor (α = 0.93). All clinical groups (ASD, ID, and MHC) had significantly increased CCC-R total scores, with the highest scores being in the neurodevelopmental disorder groups (ASD and ID). In addition, we found group-specific patterns of elevated pragmatic-language scores in the ASD group and grammatical-semantic scores in the ID group. The CCC-R was comparable to the CCC-2 in distinguishing ASD from the other groups. The CCC-R is proposed as a simplified and easily applied, clinical questionnaire for caregivers, assessing pragmatic language impairments across neurodevelopmental disorders and mental health conditions. Lay Summary: The CCC-2 is a questionnaire designed to identify children who have problems in the social use of language, however, it is limited in its clinical application and exhibits inconsistent factors. We have created a shorter and simpler version of the CCC-2 that we have called the CCC-R which overcomes the previous limitations of the CCC-2. It consists of two subscales: pragmatic language and grammatical-semantic language. The CCC-R can be used as a short and clinically relevant caregiver questionnaire which assesses pragmatic language impairments in children and adolescents. Autism Res 2021, 14: 759–772. © 2021 The Authors. Autism Research published by International Society for Autism Research published by Wiley Periodicals LLC.
Electroencephalography (EEG) represents a widely established method for assessing altered and typically developing brain function. However, systematic studies on EEG data quality, its correlates, and consequences are scarce. To address this research gap, the current study focused on the percentage of artifact-free segments after standard EEG pre-processing as a data quality index. We analyzed participant-related and methodological influences, and validity by replicating landmark EEG effects. Further, effects of data quality on spectral power analyses beyond participant-related characteristics were explored. EEG data from a multicenter ADHD-cohort (age range 6 to 45 years), and a non-ADHD school-age control group were analyzed (ntotal = 305). Resting-state data during eyes open, and eyes closed conditions, and task-related data during a cued Continuous Performance Task (CPT) were collected. After pre-processing, general linear models, and stepwise regression models were fitted to the data. We found that EEG data quality was strongly related to demographic characteristics, but not to methodological factors. We were able to replicate maturational, task, and ADHD effects reported in the EEG literature, establishing a link with EEG-landmark effects. Furthermore, we showed that poor data quality significantly increases spectral power beyond effects of maturation and symptom severity. Taken together, the current results indicate that with a careful design and systematic quality control, informative large-scale multicenter trials characterizing neurophysiological mechanisms in neurodevelopmental disorders across the lifespan are feasible. Nevertheless, results are restricted to the limitations reported. Future work will clarify predictive value.
Interpretation bias and dysfunctional social assumptions are proposed to play a pivotal role in the development and maintenance of social phobia (SP), especially in youth. In this study, we aimed to investigate disorder-specific implicit assumptions of rejection and implicit interpretation bias in youth with severe, chronic SP and healthy controls (CG). Twenty-seven youth with SP in inpatient/day-care treatment (M age = 15.6 years, 74% female) and 24 healthy controls (M age = 15.7 years, 54% female) were included. The Implicit Association Test (IAT) and the Affect Misattribution Procedure (AMP) were completed to assess implicit assumptions and interpretation bias related to the processing of social and affective stimuli. No group differences were observed for the IAT controlling for depressive symptoms in the analyses. However, group differences were found regarding interpretation bias (p = .017, η2p = .137). Correlations between implicit scores and explicit questionnaire results were medium to large in the SP group (r =|.28| to |.54|, pall ≤ .05), but lower in the control group (r =|.04| to |.46|, pall ≤ .05). Our results confirm the finding of an interpretation bias in youth SP, especially regarding the implicit processing of faces, whereas implicit dysfunctional social assumptions of being rejected do not seem to be specific for SP. Future research should investigate the causal relationship of assumptions/interpretation bias and SP.
Abstract: Neurophysiological measures of preparation and attention are often atypical in ADHD. Still, replicated findings that these measures predict which patients improve after Neurofeedback (NF), reveal neurophysiological specificity, and reflect ADHD-severity are limited. Methods: We analyzed children’s preparatory (CNV) and attentional (Cue-P3) brain activity and behavioral performance during a cued Continuous Performance Task (CPT) before and after slow cortical potential (SCP)-NF or semi-active control treatment (electromyogram biofeedback). Mixed-effects models were performed with 103 participants at baseline and 77 were assessed for pre-post comparisons focusing on clinical outcome prediction, specific neurophysiological effects of NF, and associations with ADHD-severity. Results: Attentional and preparatory brain activity and performance were non-specifically reduced after treatment. Preparatory activity in the SCP-NF group increased with clinical improvement. Several performance and brain activity measures predicted non-specific treatment outcome. Conclusion: Specific neurophysiological effects after SCP-NF were limited to increased neural preparation associated with improvement on ADHD-subscales, but several performance and neurophysiological measures of attention predicted treatment outcome and reflected symptom severity in ADHD. The results may help to optimize treatment.
Parent ratings are often used for screening during the diagnostic evaluation of anxiety disorders. Clinically, it is important to correctly differentiate between anxiety and other psychiatric disorders and to distinguish specific anxiety disorders. The present study examined the validity of the screening results obtained by the Parent Questionnaire for Anxiety and Obsessive-Compulsive Disorders (FBB-ANZ). We exam- ined whether the FBB-ANZ discriminated (1) anxiety and other psychiatric disorders and (2) specific anxiety disorders in children and adoles- cents using ROC analyses. 972 parents of 4;00–11;11-year-old children and 12;00–17;11-year-old adolescents with anxiety disorders, depres- sive episodes, or externalizing disorders completed the FBB-ANZ. Discrimination of anxiety disorders and externalizing disorders in children (AUC = .72) and adolescents (AUC = .76) as well as depressive episodes in children (AUC = .77) was moderate. Good discrimination of different anxiety disorders was found only for separation anxiety in children (AUC = .84) and adolescents (AUC = .87). The results indicate the limited di- agnostic benefit of parent ratings for discriminating different anxiety disorders in children and adolescents. Potential explanations for the re- sults are critically discussed.