Current Practice and Future Avenues in Autism Therapy

Volitional modification of brain activity in adolescents with Autism Spectrum Disorder: A Bayesian analysis of Slow Cortical Potential neurofeedback

Autism spectrum disorder is (ASD) characterized by a persisting triad of impairments of social interaction, language as well as inflexible, stereotyped and ritualistic behaviors. Increasingly, scientific evidence suggests a neurobiological basis of these emotional, social and cognitive deficits in individuals with ASD. The aim of this randomized controlled brain self-regulation intervention study was to investigate whether the core symptomatology of ASD could be reduced via an electroencephalography (EEG) based brain self-regulation training of Slow Cortical Potentials (SCP). 41 male adolescents with ASD were recruited and allocated to a) an experimental group undergoing 24 sessions of EEG-based brain training (n1 = 21), or to b) an active control group undergoing conventional treatment (n2 = 20), that is, clinical counseling during a 3-months intervention period. We employed real-time neurofeedback training recorded from a fronto-central electrode intended to enable participants to volitionally regulate their brain activity. Core autistic symptomatology was measured at six time points during the intervention and analyzed with Bayesian multilevel approach to characterize changes in core symptomatology. Additional Bayesian models were formulated to describe the neural dynamics of the training process as indexed by SCP (time-domain) and power density (PSD, frequency-domain) measures. The analysis revealed a substantial improvement in the core symptomatology of ASD in the experimental group (reduction of 21.38 points on the Social Responsiveness Scale, SD = 5.29), which was slightly superior to that observed in the control group (evidence Ratio = 5.79). Changes in SCP manifested themselves as different trajectories depending on the different feedback conditions and tasks. Further, the model of PSD revealed a continuous decrease in delta power, parallel to an increase in alpha power. Most notably, a non-linear (quadratic) model turned out to be better at predicting the data than a linear model across all analyses. Taken together, our analyses suggest that behavioral and neural processes of change related to neurofeedback training are complex and non-linear. Moreover, they have implications for the design of future trials and training protocols.

[Autism spectrum disorder in childhood and adults: diagnosis and differential diagnoses]

Autistic disorders are summarized in DSM‑5 under the term autism spectrum disorder (ASD) and are severe, lifelong, pervasive neurodevelopmental disorders. Core features manifested even in childhood are impairments in social interaction and communication as well as restricted and repetitive behavior. The intensity of symptoms, language and cognitive impairments vary but the majority of affected individuals have below average intelligence and 80% have at least one comorbid disorder. The diverse pathology and heterogeneity in phenotypes are caused by a complex genetic etiology, which is associated with a reduced synaptic plasticity of neural networks. The disorder is associated with a clearly reduced quality of life as well as a high familial burden. The differential diagnostics have a high relevance and the diagnosis should be carried out by specialized institutions. Behavioral therapeutic interventions are indicated.

Segen oder Fluch? Das Internet als Informationsquelle über Autismus und Asperger-Syndrom

Zusammenfassung. Fragestellung: Sehr viele Menschen informieren sich heutzutage über gesundheitsrelevante Themen im Internet, wobei die Qualität dieser Informationen fraglich ist. In der vorliegenden Studie soll beispielhaft für ein psychisches Störungsbild (Autismus-Spektrum-Störung) die Qualität der Informationsquelle Internet sowie die sich daraus ergebenden Implikationen diskutiert werden. Methodik: Es wurde eine systematische Auswertung von 96 deutschsprachigen Internetseiten durchgeführt mit dem Ziel, neben konkreten Charakteristika der Internetseiten auch die Zuverlässigkeit der Publikationen, die Informationsdarstellung sowie die Gesamtqualität der Internetseiten zu bewerten und die sich aus der Darstellung ergebenden klinischen Implikationen zu analysieren. Ergebnisse: Nur bei 39 % der Internetseiten ließen sich Referenzen für wissenschaftlich fundierte Informationen feststellen, Werbung war hingegen auf 53 % der Internetseiten vorhanden. Die meisten falschen Informationen wurden im Bereich der „Behandlung“ (17 %) verbreitet. Bei 75 % der Internetseiten traf die Vollständigkeit nicht zu. Lediglich 10 % der Internetseiten thematisierte die Beeinträchtigung bzw. Belastung der Familien. Die Qualität der Seiten wurde bei 30 % als ungenügend, bei 41 % als mangelhaft und nur bei 6 % als gut beurteilt. Schlussfolgerungen: Ähnlich wie durch die bereits vorliegenden Analysen zu englischsprachigen Internetseiten festgestellt, können für viele der deutschsprachigen Seiten deutliche Qualitätsmängel konstatiert werden. Die Implikationen in Bezug auf Bestätigungsfehler, Stigmatisierung, Überidentifikation, Ingroup-Outgroup-Effekte, Kontrast- und Schneeballeffekte werden diskutiert.

Use of psychotropic drugs in patients with autism spectrum disorders: a systematic review

OBJECTIVE

The objective of this review was to examine prevalence and patterns of psychopharmacotherapy in individuals with autism spectrum disorder (ASD).

METHOD

A systematic literature search in PubMed, CINAHL, and PsycINFO was performed, including articles published up to November 18, 2015.

RESULTS

A total of 47 studies (data collection: 1976-2012), encompassing >300 000 individuals with ASD, were included. The prevalence of psychopharmacotherapy ranged from 2.7% to 80% (median (overall): 45.7%; median (children): 41.9%; median (adults): 61.5%), with psychotropic polypharmacy occurring in 5.4-54% (median: 23.0%). Regarding drug classes, antipsychotics were most frequently used, followed by attention-deficit/hyperactivity disorder (ADHD) medication and antidepressants. Both older age and psychiatric comorbidity were associated with higher prevalences of psychopharmacotherapy and psychotropic polypharmacy. There were no time trends in psychopharmacotherapy prevalence observable.

CONCLUSION

Despite a lack of pharmacological treatment options for ASD core symptoms, the prevalence of psychopharmacotherapy and polypharmacy in ASD patients is considerable, which is probably due to the treatment of non-core ASD symptoms and psychiatric comorbidities. While there is some evidence for the use of antipsychotics and ADHD medication for these indications, the use of antidepressants should be limited to selected cases.