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Individualized treatment response prediction of dialectical behavior therapy for borderline personality disorder using multimodal magnetic resonance imaging

Our work provides important new insights about treatment prediction in a specific mental disorder of high clinical relevance that is borderline personality disorder, using random forest classification via pretreatment clinical and demographical (CD), functional, and structural magnetic resonance ima...

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Main Authors: Schmitgen, Mike (Author) , Niedtfeld, Inga (Author) , Schmitt, Ruth (Author) , Mancke, Falk (Author) , Winter, Dorina (Author) , Schmahl, Christian (Author) , Herpertz, Sabine (Author)
Format: Article (Journal)
Language:English
Published: 14 August 2019
In: Brain and behavior
Year: 2019, Volume: 9, Issue: 9
ISSN:2162-3279
DOI:10.1002/brb3.1384
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1002/brb3.1384
Verlag, lizenzpflichtig, Volltext: https://onlinelibrary.wiley.com/doi/10.1002/brb3.1384
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Author Notes:Mike M. Schmitgen, Inga Niedtfeld, Ruth Schmitt, Falk Mancke, Dorina Winter, Christian Schmahl, Sabine C. Herpertz
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Summary:Our work provides important new insights about treatment prediction in a specific mental disorder of high clinical relevance that is borderline personality disorder, using random forest classification via pretreatment clinical and demographical (CD), functional, and structural magnetic resonance imaging (MRI) data from patients with borderline personality disorder (BPD) to predict individual treatment response.
Item Description:Gesehen am 14.01.2021
Physical Description:Online Resource
ISSN:2162-3279
DOI:10.1002/brb3.1384

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