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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 (n(total) = 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.

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.

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.

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., In ICD-11, similar to ICD-10, speech and language disorders are classified as neurodevelopmental disorders, which are part of ICD-11 Chapter 6 (Mental, Behavioural and Neurodevelopmental Disorders). The ICD-10 criteria were not well accepted by many professionals in research and clinic who work with children with speech and language disorders. Especially linguists and speech and language therapists see ICD-10 as too crude and lacking specification of individual language problems. Medical professions in turn criticize the missing aspect of organically caused speech and language problems. This paper presents the classification of speech and language problems or disorders according to ICD-11 compared to ICD-10. One essential aspect lies in the differentiation between “primary” and “secondary” neurodevelopmental disorders. In addition, we compare and discuss other recent classification approaches, such as DSM-5, CATALISE-2, and the classification “Auditory Processing Disorder” by pediatric audiologists. We present a classification approach based on ICD-11, supplemented by an additional specification of the respective impaired speech or language area in the individual child and based on a thorough speech and language assessment. We thus hope to pave the path for an interdisciplinary classification of speech and language disorders according to ICD-11, our aim being to establish a common terminology that can be used by all professions. We expect this common terminology to improve clinical care and to allow for the integration and comparability of speech- and language-related research efforts.

Background: Conduct disorder (CD) rarely occurs alone but is typically accompanied by comorbid psychiatric disorders, which complicates the clinical presentation and treatment of affected youths. The aim of this study was to investigate sex differences in comorbidity pattern in CD and to systematically explore the ‘gender paradox’ and ‘delayed-onset pathway’ hypotheses of female CD. Methods: As part of the FemNAT-CD multisite study, semistructured clinical interviews and rating scales were used to perform a comprehensive phenotypic characterization of 454 girls and 295 boys with CD (9–18 years), compared to 864 sex- and age-matched typically developing controls. Results: Girls with CD exhibited higher rates of current major depression, anxiety disorders, post-traumatic stress disorder and borderline personality disorder, whereas boys with CD had higher rates of current attention-deficit/hyperactivity disorder. In line with the ‘gender paradox’ hypothesis, relative to boys, girls with CD showed significantly more lifetime psychiatric comorbidities (incl. Alcohol Use Disorder), which were accompanied by more severe CD symptoms. Female and male youths with CD also differed significantly in their CD symptom profiles and distribution of age-of-onset subtypes of CD (i.e. fewer girls with childhood-onset CD). In line with the ‘delayed-onset pathway’ hypothesis, girls with adolescent-onset CD showed similar levels of dimensional psychopathology like boys with childhood-onset CD, while boys with adolescent-onset CD had the lowest levels of internalizing psychopathology. Conclusions: Within the largest study of CD in girls performed to date, we found compelling evidence for sex differences in comorbidity patterns and clinical presentation of CD. Our findings further support aspects of the ‘gender paradox’ and ‘delayed-onset pathway’ hypotheses by showing that girls with CD had higher rates of comorbid lifetime mental disorders and functional impairments, and they usually deve

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.

Die Ätiologie der Autismus-Spektrum-Störungen (ASS) ist in genetischen Risikofaktoren sowie der Interaktion von genetischen und biologisch wirksamen Umweltrisikofaktoren begründet. ASS werden aufgrund von Verhaltensmerkmalen, nämlich bleibend eingeschränkter sozialer Kommunikation, sowie durch stereotypes Verhalten, sensorische und Sonderinteressen diagnostiziert. Hinsichtlich des genetischen Hintergrundes besteht eine hohe genetische Heterogenität, d. h., die genetischen Ursachen sind vielfältig und individuell oft sehr unterschiedlich ausgeprägt. Allerdings konvergieren diese Ursachen in bestimmten biologischen Mechanismen und überlappenden biologischen Endstrecken, deren Veränderung sehr wahrscheinlich den autismusspezifischen Verhaltensmerkmalen zugrunde liegt. Die vorliegende, selektive Literaturübersicht summiert die genetischen Befunde und fokusiert sich insbesondere auf Mechanismen und Endstrecken, die aufgrund der neueren Forschung immer besser charakterisiert werden. Der Artikel schließt mit Hinweisen zur klinischen Relevanz der aktuellen Befunde sowie offenen Fragen der translationalen Forschung., Autism spectrum disorders are etiologically based on genetic and specific gene x biologically relevant environmental risk factors. They are diagnosed based on behavioral characteristics, such as impaired social communication and stereotyped, repetitive behavior and sensory as well as special interests. The genetic background is heterogeneous, i. e., it comprises diverse genetic risk factors across the disorder and high interindividual differences of specific genetic risk factors. Nevertheless, risk factors converge regarding underlying biological mechanisms and shared pathways, which likely cause the autism-specific behavioral characteristics. The current selective literature review summarizes differential genetic risk factors and focuses particularly on mechanisms and pathways currently being discussed by international research. In conclusion, clinically relevant aspects and open translational research questions are presented.

Im Rahmen der Abklärung des Verdachts einer Angststörung kommen in der klinischen Praxis regelmäßig Screeningfrage- bögen für Eltern zum Einsatz, die teilweise auch unterschiedliche Angststörungen erfassen. Im klinischen Kontext ist die valide Abgrenzung von Angststörungen zu anderen psychischen Störung sowie die differenzialdiagnostische Abklärung spezifischer Angststörungen relevant. Das Ziel der vorliegenden Studie ist die Untersuchung der Validität eines Screenings durch den Fremdbeurteilungsbogen für Angst- und Zwangsstörun- gen (FBB-ANZ) hinsichtlich unterschiedlicher Angststörungen. Überprüft wurde die Diskriminationsfähigkeit von (1) Angststörungen und ande- ren kinder- und jugendpsychiatrischen Störungen und (2) verschiedenen Angststörungen mittels ROC-Analysen (Receiver Operating Characte- ristics). Der FBB-ANZ wurde von 972 Eltern von 4;00–11;11-jährigen Kindern und 12;00–17;11-jährigen Jugendlichen mit Angststörungen oder depressiven Episoden oder externalisierenden Störungen ausgefüllt. Die Diskriminationsfähigkeit von Angststörungen und externalisierenden Störungen bei Kindern (AUC [Area Under the Curve] = .72) und Jugendlichen (AUC = .76) sowie von Angststörungen und depressiven Episoden im Kindesalter (AUC = .77) war moderat. Eine gute Unterscheidung verschiedener Angststörungen bei Angstpatient_innen war nur hinsichtlich der emotionalen Störung mit Trennungsangst bei Kindern (AUC = .84) und Jugendlichen (AUC = .87) gegeben. Die Ergebnisse deuten auf einen eingeschränkten diagnostischen Nutzen des Screeningurteils der Eltern zur Unterscheidung verschiedener Angststörungen im Kindes- und Jugendalter hin. Mögliche Erklärungsansätze für die vorliegenden Ergebnisse werden kritisch diskutiert., 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.

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-specifictreatment 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.

Conduct disorder (CD), a psychiatric disorder characterized by a repetitive pattern of antisocial behaviors, results from a complex interplay between genetic and environmental factors. The clinical presentation of CD varies both according to the individual's sex and level of callous-unemotional (CU) traits, but it remains unclear how genetic and environmental factors interact at the molecular level to produce these differences. Emerging evidence in males implicates methylation of genes associated with socio-affective processes. Here, we combined an epigenome-wide association study with structural neuroimaging in 51 females with CD and 59 typically developing (TD) females to examine DNA methylation in relation to CD, CU traits, and gray matter volume (GMV). We demonstrate an inverse pattern of correlation between CU traits and methylation of a chromosome 1 region in CD females (positive) as compared to TD females (negative). The identified region spans exon 1 of the SLC25A24 gene, central to energy metabolism due to its role in mitochondrial function. Increased SLC25A24 methylation was also related to lower GMV in multiple brain regions in the overall cohort. These included the superior frontal gyrus, prefrontal cortex, and supramarginal gyrus, secondary visual cortex and ventral posterior cingulate cortex, which are regions that have previously been implicated in CD and CU traits. While our findings are preliminary and need to be replicated in larger samples, they provide novel evidence that CU traits in females are associated with methylation levels in a fundamentally different way in CD and TD, which in turn may relate to observable variations in GMV across the brain.