dc.contributor.author
Kamp-Becker, Inge
dc.contributor.author
Poustka, Luise
dc.contributor.author
Bachmann, Christian
dc.contributor.author
Ehrlich, Stefan
dc.contributor.author
Hoffmann, Falk
dc.contributor.author
Kanske, Philipp
dc.contributor.author
Kirsch, Peter
dc.contributor.author
Krach, Sören
dc.contributor.author
Paulus, Frieder Michel
dc.contributor.author
Rietschel, Marcella
dc.contributor.author
Roepke, Stefan
dc.contributor.author
Roessner, Veit
dc.contributor.author
Schad-Hansjosten, Tanja
dc.contributor.author
Singer, Tania
dc.contributor.author
Stroth, Sanna
dc.contributor.author
Witt, Stephanie
dc.contributor.author
Wermter, Anne-Kathrin
dc.date.accessioned
2018-06-08T10:49:52Z
dc.date.available
2017-08-23T09:18:50.883Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/21171
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-24467
dc.description.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. Trial registration Both clinical trials of the ASD-
Net are registered in the German Clinical Trials Register: DRKS00008952
(registered on August 4, 2015) and DRKS00010053 (registered on April 8, 2016).
en
dc.format.extent
14 Seiten
dc.rights.uri
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject
autism spectrum disorder
dc.subject
social competence training
dc.subject
health economics
dc.subject
German research network for mental disorders
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit
dc.title
Study protocol of the ASD-Net, the German research consortium for the study of
Autism Spectrum Disorder across the lifespan
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation
BMC Psychiatry. - 17 (2017), Artikel Nr. 206
dc.title.subtitle
from a better etiological understanding, through valid diagnosis, to more
effective health care
dcterms.bibliographicCitation.doi
10.1186/s12888-017-1362-7
dcterms.bibliographicCitation.url
http://doi.org/10.1186/s12888-017-1362-7
refubium.affiliation
Charité - Universitätsmedizin Berlin
de
refubium.mycore.fudocsId
FUDOCS_document_000000027615
refubium.note.author
Der Artikel wurde in einer reinen Open-Access-Zeitschrift publiziert.
refubium.resourceType.isindependentpub
no
refubium.mycore.derivateId
FUDOCS_derivate_000000008642
dcterms.accessRights.openaire
open access