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Research indicates that autism is the extreme end of a continuously distributed trait. The Social Responsiveness Scale (SRS) and the Social and Communication Disorders Checklist (SCDC) aim to assess autistic traits. The objective of this study was to compare their clinical validity. The SRS showed sensitivities of .74 to .80 and specificities of .69 to 1.00 for autism. Sensitivities were .85 to .90 and specificities .28 to.82 for the SCDC. Correlations with the ADI-R, ADOS and SCQ were higher for the SRS than for the SCDC. The SCDC seems superior to the SRS to screen for unspecific social and communicative deficits including autism. The SRS appears more suitable than the SCDC in clinical settings and for specific autism screening.
At the sensor level many aspects, such as spectral power, functional and effective connectivity as well as relative-power-ratio ratio (RPR) and spatial resolution have been comprehensively investigated through both electroencephalography (EEG) and magnetoencephalography (MEG). Despite this, differences between both modalities have not yet been systematically studied by direct comparison. It remains an open question as to whether the integration of EEG and MEG data would improve the information obtained from the above mentioned parameters. Here, EEG (64-channel system) and MEG (275 sensor system) were recorded simultaneously in conditions with eyes open (EO) and eyes closed (EC) in 29 healthy adults. Spectral power, functional and effective connectivity, RPR, and spatial resolution were analyzed at five different frequency bands (delta, theta, alpha, beta and gamma). Networks of functional and effective connectivity were described using a spatial filter approach called the dynamic imaging of coherent sources (DICS) followed by the renormalized partial directed coherence (RPDC). Absolute mean power at the sensor level was significantly higher in EEG than in MEG data in both EO and EC conditions. At the source level, there was a trend towards a better performance of the combined EEG+MEG analysis compared with separate EEG or MEG analyses for the source mean power, functional correlation, effective connectivity for both EO and EC. The network of coherent sources and the spatial resolution were similar for both the EEG and MEG data if they were analyzed separately. Results indicate that the combined approach has several advantages over the separate analyses of both EEG and MEG. Moreover, by a direct comparison of EEG and MEG, EEG was characterized by significantly higher values in all measured parameters in both sensor and source level. All the above conclusions are specific to the resting state task and the specific analysis used in this study to have general conclusion multi-center studies would be helpful.
Background: Group-based social skills training (SST) has repeatedly been recommended as treatment of choice in high-functioning autism spectrum disorder (HFASD). To date, no sufficiently powered randomised controlled trial has been performed to establish efficacy and safety of SST in children and adolescents with HFASD. In this randomised, multi-centre, controlled trial with 220 children and adolescents with HFASD it is hypothesized, that add-on group-based SST using the 12 weeks manualised SOSTA–FRA program will result in improved social responsiveness (measured by the parent rated social responsiveness scale, SRS) compared to treatment as usual (TAU). It is further expected, that parent and self reported anxiety and depressive symptoms will decline and pro-social behaviour will increase in the treatment group. A neurophysiological study in the Frankfurt HFASD subgroup will be performed pre- and post treatment to assess changes in neural function induced by SST versus TAU.
Methods/design: The SOSTA – net trial is designed as a prospective, randomised, multi-centre, controlled trial with two parallel groups. The primary outcome is change in SRS score directly after the intervention and at 3 months follow-up. Several secondary outcome measures are also obtained. The target sample consists of 220 individuals with ASD, included at the six study centres.
Discussion: This study is currently one of the largest trials on SST in children and adolescents with HFASD worldwide. Compared to recent randomised controlled studies, our study shows several advantages with regard to in- and exclusion criteria, study methods, and the therapeutic approach chosen, which can be easily implemented in non-university-based clinical settings.
Trial registration: ISRCTN94863788 – SOSTA – net: Group-based social skills training in children and adolescents with high functioning autism spectrum disorder.
Background: Repetitive transcranial magnetic stimulation (rTMS) allows non-invasive stimulation of the human brain. However, no suitable marker has yet been established to monitor the immediate rTMS effects on cortical areas in children.
Objective: TMS-evoked EEG potentials (TEPs) could present a well-suited marker for real-time monitoring. Monitoring is particularly important in children where only few data about rTMS effects and safety are currently available.
Methods: In a single-blind sham-controlled study, twenty-five school-aged children with ADHD received subthreshold 1 Hz-rTMS to the primary motor cortex. The TMS-evoked N100 was measured by 64-channel-EEG pre, during and post rTMS, and compared to sham stimulation as an intraindividual control condition.
Results: TMS-evoked N100 amplitude decreased during 1 Hz-rTMS and, at the group level, reached a stable plateau after approximately 500 pulses. N100 amplitude to supra-threshold single pulses post rTMS confirmed the amplitude reduction in comparison to the pre-rTMS level while sham stimulation had no influence. EEG source analysis indicated that the TMS-evoked N100 change reflected rTMS effects in the stimulated motor cortex. Amplitude changes in TMS-evoked N100 and MEPs (pre versus post 1 Hz-rTMS) correlated significantly, but this correlation was also found for pre versus post sham stimulation.
Conclusion: The TMS-evoked N100 represents a promising candidate marker to monitor rTMS effects on cortical excitability in children with ADHD. TMS-evoked N100 can be employed to monitor real-time effects of TMS for subthreshold intensities. Though TMS-evoked N100 was a more sensitive parameter for rTMS-specific changes than MEPs in our sample, further studies are necessary to demonstrate whether clinical rTMS effects can be predicted from rTMS-induced changes in TMS-evoked N100 amplitude and to clarify the relationship between rTMS-induced changes in TMS-evoked N100 and MEP amplitudes. The TMS-evoked N100 amplitude reduction after 1 Hz-rTMS could either reflect a globally decreased cortical response to the TMS pulse or a specific decrease in inhibition.
Theory of mind (ToM), or the ability to infer and predict the intentions, thoughts and beliefs of others, involves cognitive perspective taking (cognitive ToM/cToM) and understanding emotions (affective ToM/aToM). While behavioral evidence indicates that ToM is influenced by sex and age, no study has examined the influence of these variables on the neural correlates of cToM and aToM in late childhood/adolescence. Using fMRI with 35 typically-developing youths (aged 9–18 years, 12 males), we investigated the influence of sex and age on the neural correlates of cToM and aToM. We also examined how callous-unemotional traits, indexing a lack of empathy, were related to brain responses during aToM. Across both conditions, we found convergent activity in ToM network regions, such as superior temporal sulcus/temporoparietal junction (TPJ) and precuneus across males and females, but males recruited the left TPJ significantly more than females during cToM. During aToM, age was negatively correlated with brain responses in frontal, temporal and posterior midline regions, while callous-unemotional traits were positively correlated with right anterior insula responses. These results provide the first evidence in youth that sex influences the neural correlates of cToM, while age and callous-unemotional traits are specifically related to brain responses during aToM.
Assessment of selective mutism (SM) is hampered by the lack of diagnostic measures. The Frankfurt Scale of Selective Mutism was developed for kindergarteners, schoolchildren, and adolescents, including the diagnostic scale (DS) and the severity scale (SS). The objective of this study was to evaluate this novel, parent-rated questionnaire among individuals aged 3 to 18 years (n = 334) with SM, social phobia, internalizing disorders, and a control group. Item analysis resulted in high item-total correlations, and internal consistency in both scales was excellent with Cronbach’s α = .90-.98. Exploratory factor analysis of the SS consistently yielded a one-factor solution. Mean sum scores of the DS differed significantly between the diagnostic groups, and the receiver operating characteristic analysis resulted in optimal cutoffs for distinguishing SM from all other groups with the area under the curves of 0.94-1.00. The SS sum scores correlated significantly with SM’s clinician-rated symptom severity.
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.
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.
Background: This article reports reliability, validity, and norms for the German version of the multi-informant questionnaire Inventory of Callous–Unemotional Traits (ICU). Method: The ICU was filled in by nonreferred children aged 13 to 18 years old (n = 645), parents of children aged 6 to 18 years old (n = 1,005), and their teachers (n = 955). Results: Confirmatory factor analysis resulted in a two-factor solution giving the best fit. Still none of the models showed an adequate model-fit applying the chi-square exact fit test. The internal consistency of the parent’s, teacher’s, and self-report version were α = .830, α = .877 and α = .769, respectively. Interrater reliability was moderate. Convergent validity with the Youth Psychopathic Traits Inventory, the externalizing scores of the Youth Self-Report/Child Behavior Checklist, and with the German oppositional Defiant Disorder/Conduct Disorder Rating Scale “FBB-SSV” were good. German norms were calculated. Conclusions: The ICU is a reliable and valid dimensional measure to describe callous–unemotional traits.
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.