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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_Poustka_2017 (Verlagsversion), 605KB
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Kamp-Becker_Poustka_2017
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 Urheber:
Kamp-Becker, Inge, Autor
Poustka, Luise, Autor
Bachmann, Christian, Autor
Ehrlich, Stefan, Autor
Hoffmann, Falk, Autor
Kanske, Philipp1, Autor           
Kirsch, Peter, Autor
Krach, Soeren, Autor
Paulus, Frieder Michel, Autor
Rietschel, Marcella, Autor
Roepke, Stefan, Autor
Roesner, Veit, Autor
Schad-Hansjosten, Tanja, Autor
Singer, Tania1, Autor           
Stroth, Sanna, Autor
Witt, Stephanie, Autor
Wermter, Anne-Kathrin, Autor
Affiliations:
1Department Social Neuroscience, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634552              

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 Zusammenfassung: 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.

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Sprache(n): eng - English
 Datum: 2017-02-272017-05-192017-06-02
 Publikationsstatus: Online veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1186/s12888-017-1362-7
PMID: 28577550
PMC: PMC5455122
 Art des Abschluß: -

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Projektname : -
Grant ID : 01EE1409A
Förderprogramm : -
Förderorganisation : German Federal Ministry of Education and Research (BMBF)

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Titel: BMC Psychiatry
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: BioMed Central
Seiten: - Band / Heft: 17 Artikelnummer: 206 Start- / Endseite: - Identifikator: ISSN: 1471-244X
CoNE: https://pure.mpg.de/cone/journals/resource/111000136906052