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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 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.

SUBMITTER: Klein C 

PROVIDER: S-EPMC5511237 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature

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Takotsubo Syndrome - Predictable from brain imaging data.

Klein Carina C   Hiestand Thierry T   Ghadri Jelena-Rima JR   Templin Christian C   Jäncke Lutz L   Hänggi Jürgen J  

Scientific reports 20170714 1


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  ...[more]

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