Takotsubo Syndrome – Predictable from brain imaging data

Takotsubo Syndrome – Predictable from brain imaging data

Abstract Takotsubo syndrome (TTS) is characterized by acute left ventricular dysfunction, with a hospital-mortality rate similar to acute coronary syndrome (ACS). However, the aetiology of TTS is still unknown. In the present study, a multivariate pattern analysis using machine learning with multimo...

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Main Authors: Carina Klein, Thierry Hiestand, Jelena-Rima Ghadri, Christian Templin, Lutz Jäncke, Jürgen Hänggi
Format: Article
Language:English
Published: Nature Publishing Group 2017-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-017-05592-7
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spelling doaj-bd2f292601b84e14897a85ddc605c5162020-12-07T23:58:45ZengNature Publishing GroupScientific Reports2045-23222017-07-01711710.1038/s41598-017-05592-7Takotsubo Syndrome – Predictable from brain imaging dataCarina Klein0Thierry Hiestand1Jelena-Rima Ghadri2Christian Templin3Lutz Jäncke4Jürgen Hänggi5Division Neuropsychology, Department of Psychology, University of ZurichUniversity Heart Center, Department of Cardiology, University Hospital ZurichUniversity Heart Center, Department of Cardiology, University Hospital ZurichUniversity Heart Center, Department of Cardiology, University Hospital ZurichDivision Neuropsychology, Department of Psychology, University of ZurichDivision Neuropsychology, Department of Psychology, University of ZurichAbstract Takotsubo syndrome (TTS) is characterized by acute left ventricular dysfunction, with a hospital-mortality rate similar to acute coronary syndrome (ACS). However, the aetiology of TTS is still unknown. In the present study, a multivariate pattern analysis using machine learning with multimodal magnetic resonance imaging (MRI) data of the human brain of TTS patients and age- and gender-matched healthy control subjects was performed. We found consistent structural and functional alterations in TTS patients compared to the control group. In particular, anatomical and neurophysiological measures from brain regions constituting the emotional-autonomic control system contributed to a prediction accuracy of more than 82%. Thus, our findings demonstrate homogeneous neuronal alterations in TTS patients and substantiate the importance of the concept of a brain-heart interaction in TTS.https://doi.org/10.1038/s41598-017-05592-7
collection DOAJ
language English
format Article
sources DOAJ
author Carina Klein
Thierry Hiestand
Jelena-Rima Ghadri
Christian Templin
Lutz Jäncke
Jürgen Hänggi
spellingShingle Carina Klein
Thierry Hiestand
Jelena-Rima Ghadri
Christian Templin
Lutz Jäncke
Jürgen Hänggi
Takotsubo Syndrome – Predictable from brain imaging data
Scientific Reports
author_facet Carina Klein
Thierry Hiestand
Jelena-Rima Ghadri
Christian Templin
Lutz Jäncke
Jürgen Hänggi
author_sort Carina Klein
title Takotsubo Syndrome – Predictable from brain imaging data
title_short Takotsubo Syndrome – Predictable from brain imaging data
title_full Takotsubo Syndrome – Predictable from brain imaging data
title_fullStr Takotsubo Syndrome – Predictable from brain imaging data
title_full_unstemmed Takotsubo Syndrome – Predictable from brain imaging data
title_sort takotsubo syndrome – predictable from brain imaging data
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2017-07-01
description Abstract Takotsubo syndrome (TTS) is characterized by acute left ventricular dysfunction, with a hospital-mortality rate similar to acute coronary syndrome (ACS). However, the aetiology of TTS is still unknown. In the present study, a multivariate pattern analysis using machine learning with multimodal magnetic resonance imaging (MRI) data of the human brain of TTS patients and age- and gender-matched healthy control subjects was performed. We found consistent structural and functional alterations in TTS patients compared to the control group. In particular, anatomical and neurophysiological measures from brain regions constituting the emotional-autonomic control system contributed to a prediction accuracy of more than 82%. Thus, our findings demonstrate homogeneous neuronal alterations in TTS patients and substantiate the importance of the concept of a brain-heart interaction in TTS.
url https://doi.org/10.1038/s41598-017-05592-7
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AT jelenarimaghadri takotsubosyndromepredictablefrombrainimagingdata
AT christiantemplin takotsubosyndromepredictablefrombrainimagingdata
AT lutzjancke takotsubosyndromepredictablefrombrainimagingdata
AT jurgenhanggi takotsubosyndromepredictablefrombrainimagingdata
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