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  Study protocol of the ASD-Net, the German research consortium for the study of Autism Spectrum Disorder across the lifespan: From a better etiological understanding, through valid diagnosis, to more effective health care

Kamp-Becker, I., Poustka, L., Bachmann, C., Ehrlich, S., Hoffmann, F., Kanske, P., et al. (2017). Study protocol of the ASD-Net, the German research consortium for the study of Autism Spectrum Disorder across the lifespan: From a better etiological understanding, through valid diagnosis, to more effective health care. BMC Psychiatry, 17: 206. doi:10.1186/s12888-017-1362-7.

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Kamp-Becker, Inge, Author
Poustka, Luise, Author
Bachmann, Christian, Author
Ehrlich, Stefan, Author
Hoffmann, Falk, Author
Kanske, Philipp1, Author              
Kirsch, Peter, Author
Krach, Soeren, Author
Paulus, Frieder Michel, Author
Rietschel, Marcella, Author
Roepke, Stefan, Author
Roesner, Veit, Author
Schad-Hansjosten, Tanja, Author
Singer, Tania1, Author              
Stroth, Sanna, Author
Witt, Stephanie, Author
Wermter, Anne-Kathrin, Author
1Department Social Neuroscience, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634552              


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 Abstract: Background Autism Spectrum Disorder (ASD) is a severe, lifelong neurodevelopmental disorder with early onset that places a heavy burden on affected individuals and their families. Due to the need for highly specialized health, educational and vocational services, ASD is a cost-intensive disorder, and strain on health care systems increases with increasing age of the affected individual. Methods The ASD-Net will study Germany’s largest cohort of patients with ASD over the lifespan. By combining methodological expertise from all levels of clinical research, the ASD-Net will follow a translational approach necessary to identify neurobiological pathways of different phenotypes and their appropriate identification and treatment. The work of the ASD-Net will be organized into three clusters concentrating on diagnostics, therapy and health economics. In the diagnostic cluster, data from a large, well-characterized sample (N = 2568) will be analyzed to improve the efficiency of diagnostic procedures. Pattern classification methods (machine learning) will be used to identify algorithms for screening purposes. In a second step, the developed algorithm will be tested in an independent sample. In the therapy cluster, we will unravel how an ASD-specific social skills training with concomitant oxytocin administration can modulate behavior through neurobiological pathways. For the first time, we will characterize long-term effects of a social skills training combined with oxytocin treatment on behavioral and neurobiological phenotypes. Also acute effects of oxytocin will be investigated to delineate general and specific effects of additional oxytocin treatment in order to develop biologically plausible models for symptoms and successful therapeutic interventions in ASD. Finally, in the health economics cluster, we will assess service utilization and ASD-related costs in order to identify potential needs and cost savings specifically tailored to Germany. The ASD-Net has been established as part of the German Research Network for Mental Disorders, funded by the BMBF (German Federal Ministry of Education and Research). Discussion The highly integrated structure of the ASD-Net guarantees sustained collaboration of clinicians and researchers to alleviate individual distress, harm, and social disability of patients with ASD and reduce costs to the German health care system.


Language(s): eng - English
 Dates: 2017-02-272017-05-192017-06-02
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1186/s12888-017-1362-7
PMID: 28577550
PMC: PMC5455122
 Degree: -



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Project name : -
Grant ID : 01EE1409A
Funding program : -
Funding organization : German Federal Ministry of Education and Research (BMBF)

Source 1

Title: BMC Psychiatry
Source Genre: Journal
Publ. Info: BioMed Central
Pages: - Volume / Issue: 17 Sequence Number: 206 Start / End Page: - Identifier: ISSN: 1471-244X
CoNE: https://pure.mpg.de/cone/journals/resource/111000136906052