0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessTakotsubo syndrome (TTS) is a type of cardiomyopathy usually precipitated by either emotional or physical stress and potentially leading to reversible heart failure. There is emerging evidence indicating an interaction between the brain and the heart in patients with TTS. Nevertheless, these new insights are not reflected in the current clinical approach to TTS. The application of novel and existing imaging modalities for the evaluation of brain-heart interactions is an interesting approach that could potentially augment diagnostic and prognostic yield, as well as improve our pathophysiologic understanding in the context of TTS. In this opinion piece, we discuss the evidence supporting a brain-heart interaction in patients with TTS and discuss how a combined evaluation of brain-heart interactions could potentially be implemented.
George Markousis‐Mavrogenis, Alessia Pepe, Flora Bacopoulou, Amalia Lupi, Emilio Quaia, George Chrousos, Sophie Mavrogeni (2024). Combined Brain–Heart Imaging in Takotsubo Syndrome: Towards a Holistic Patient Assessment. , 13(10), DOI: https://doi.org/10.3390/jcm13102991.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2024
Authors
7
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.3390/jcm13102991
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access