Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Kyra Bröckel"'
Autor:
Pavol Mikolas, Kyra Bröckel, Christoph Vogelbacher, Dirk K. Müller, Michael Marxen, Christina Berndt, Cathrin Sauer, Stine Jung, Juliane Hilde Fröhner, Andreas J. Fallgatter, Thomas Ethofer, Anne Rau, Tilo Kircher, Irina Falkenberg, Martin Lambert, Vivien Kraft, Karolina Leopold, Andreas Bechdolf, Andreas Reif, Silke Matura, Thomas Stamm, Felix Bermpohl, Jana Fiebig, Georg Juckel, Vera Flasbeck, Christoph U. Correll, Philipp Ritter, Michael Bauer, Andreas Jansen, Andrea Pfennig
Publikováno v:
Translational Psychiatry, Vol 11, Iss 1, Pp 1-8 (2021)
Abstract In psychiatry, there has been a growing focus on identifying at-risk populations. For schizophrenia, these efforts have led to the development of early recognition and intervention measures. Despite a similar disease burden, the populations
Externí odkaz:
https://doaj.org/article/4e69d87e00664b88bbebce9b0c4f3e8d
Autor:
Fabian Huth, Leonardo Tozzi, Michael Marxen, Philipp Riedel, Kyra Bröckel, Julia Martini, Christina Berndt, Cathrin Sauer, Christoph Vogelbacher, Andreas Jansen, Tilo Kircher, Irina Falkenberg, Florian Thomas-Odenthal, Martin Lambert, Vivien Kraft, Gregor Leicht, Christoph Mulert, Andreas J. Fallgatter, Thomas Ethofer, Anne Rau, Karolina Leopold, Andreas Bechdolf, Andreas Reif, Silke Matura, Silvia Biere, Felix Bermpohl, Jana Fiebig, Thomas Stamm, Christoph U. Correll, Georg Juckel, Vera Flasbeck, Philipp Ritter, Michael Bauer, Andrea Pfennig, Pavol Mikolas
Publikováno v:
Brain Sciences, Vol 13, Iss 6, p 870 (2023)
The pathophysiology of bipolar disorder (BD) remains mostly unclear. Yet, a valid biomarker is necessary to improve upon the early detection of this serious disorder. Patients with manifest BD display reduced volumes of the hippocampal subfields and
Externí odkaz:
https://doaj.org/article/ba799cd9d8ab4e64ac91471af914d79e
Prediction of estimated risk for bipolar disorder using machine learning and structural MRI features
Autor:
Pavol Mikolas, Michael Marxen, Philipp Riedel, Kyra Bröckel, Julia Martini, Fabian Huth, Christina Berndt, Christoph Vogelbacher, Andreas Jansesn, Tilo Kircher, Irina Falkenberg, Martin Lambert, Vivien Kraft, Gregor Leicht, Christoph Mulert, Andreas Fallgatter, Thomas Ethofer, Anne Rau, Karolina Leopold, Andreas Bechdolf, Andreas Reif, Silke Matura, Felix Bermpohl, Jana Fiebig, Thomas Stamm, Christoph Correll, Georg Juckel, Vera Flasbeck, philipp ritter, Michael Bauer, Andrea Pfennig
Publikováno v:
Psychological Medicine. :1-11
Background Individuals with bipolar disorder are commonly correctly diagnosed a decade after symptom onset. Machine learning techniques may aid in early recognition and reduce the disease burden. As both individuals at risk and those with a manifest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7257b7f0cf1214d70d054406d5637032
https://doi.org/10.1017/s0033291723001319
https://doi.org/10.1017/s0033291723001319