Abnormal effective connectivity in the psychosis high-risk state
JournalItem (Reviews, Editorials, Rezensionen, Urteilsanmerkungen etc. in einer wissenschaftlichen Zeitschrift)
 
ID 3720861
Author(s) Schmidt, André; Borgwardt, Stefan
Author(s) at UniBasel Schmidt, André
Year 2013
Title Abnormal effective connectivity in the psychosis high-risk state
Journal NeuroImage
Volume 81
Pages 119-20
Mesh terms Female; Humans; Image Processing, Computer-Assisted, methods; Magnetic Resonance Imaging, methods; Male; Schizophrenia, genetics
Abstract In a recently published fMRI study (Dauvermann et al., 2013), nonlinear dynamic causal modeling (DCM) was used to examine condition-specific effective connectivity in subjects at high genetic risk of schizophrenia. The authors concluded that nonlinear DCM could lead to new insights in the development of psychotic symptoms and functional and effective dysconnection at the network level in subjects at high familial risk. In this paper, we place these interesting findings in the context of recent evidence from bilinear DCM studies in subjects at high clinical risk with an at-risk mental state (ARMS) for psychosis by considering their consistency and potential differences with implications for future research in the field of emerging psychosis.
Publisher Elsevier
ISSN/ISBN 1053-8119 ; 1095-9572
edoc-URL https://edoc.unibas.ch/63070/
Full Text on edoc No
Digital Object Identifier DOI 10.1016/j.neuroimage.2013.05.035
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/23685160
ISI-Number WOS:000322934400011
Document type (ISI) Comment, Journal Article
 
   

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