Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Brain Imaging

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

CMR Reveals the Influence of Trigger and Classification on the Myocardial Tissue Response in Takotsubo Syndrome.

Circulation. Cardiovascular imaging·2026

Same author

Killip class at presentation and immediate versus staged multivessel PCI in patients with STEMI.

Scientific reports·2026

Same author

Associations of sphingosine-1-phosphate with thyroid function and structure: A cross-sectional population-based study.

European thyroid journal·2026

Same author

Beta-Blockers After Myocardial Infarction With Preserved and Mildly Reduced Ejection Fraction: A Meta-Analysis With Trial Sequential Analysis.

European journal of clinical investigation·2026

Same author

Partner valves: role of a prospective device selection strategy using ACURATE and SAPIEN 3 as complementary devices in transcatheter aortic valve implantation.

Frontiers in cardiovascular medicine·2026

Same author

Comparison of all-cause mortality risk factors in a population-based cohort study.

Scientific reports·2026

Same journal

Peripheral B-cell receptor repertoire predicts immune-related adverse events following immune checkpoint inhibitor therapy in advanced renal cell carcinoma.

Scientific reports·2026

Same journal

Effects of black soldier fly (Hermetia illucens L.) larvae zoocompost on the mineral element content of blue honeysuckle berries.

Scientific reports·2026

Same journal

Investigation on absorption refrigeration performance of R1243zf with imidazolium ionic liquid as the working pairs.

Scientific reports·2026

Same journal

DeepTriage-CN: integrating clinical text with vital signs for emergency department admission prediction in an aging population.

Scientific reports·2026

Same journal

Gold nanoparticles as dual-action antiviral agents: disruption of SARS-CoV-2 viral envelopes and RNA integrity.

Scientific reports·2026

Same journal

Comparison of capillary microsampling and venous blood for multi-pathogen serosurveillance.

Scientific reports·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Feb 26, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

Takotsubo Syndrome - Predictable from brain imaging data.

Carina Klein¹, Thierry Hiestand², Jelena-Rima Ghadri²

¹Division Neuropsychology, Department of Psychology, University of Zurich, Zurich, Switzerland. carina.klein@uzh.ch.

Scientific Reports

|July 16, 2017

Summary

This summary is machine-generated.

Takotsubo syndrome (TTS), a heart condition with unknown causes, shows significant brain alterations. Machine learning analysis revealed structural and functional brain changes in TTS patients, highlighting a brain-heart connection.

More Related Videos

Non-invasive Imaging and Analysis of Cerebral Ischemia in Living Rats Using Positron Emission Tomography with 18F-FDG

Non-invasive Imaging and Analysis of Cerebral Ischemia in Living Rats Using Positron Emission Tomography with 18F-FDG

Published on: December 28, 2014

Brain Imaging Investigation of the Impairing Effect of Emotion on Cognition

Brain Imaging Investigation of the Impairing Effect of Emotion on Cognition

Published on: February 1, 2012

Related Experiment Videos

Last Updated: Feb 26, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

Non-invasive Imaging and Analysis of Cerebral Ischemia in Living Rats Using Positron Emission Tomography with 18F-FDG

Non-invasive Imaging and Analysis of Cerebral Ischemia in Living Rats Using Positron Emission Tomography with 18F-FDG

Published on: December 28, 2014

Brain Imaging Investigation of the Impairing Effect of Emotion on Cognition

Brain Imaging Investigation of the Impairing Effect of Emotion on Cognition

Published on: February 1, 2012

Area of Science:

Neuroscience
Cardiology
Medical Imaging

Background:

Takotsubo syndrome (TTS) presents with acute left ventricular dysfunction, mirroring acute coronary syndrome (ACS) in hospital mortality.
The underlying etiology of Takotsubo syndrome remains largely unknown.
Understanding the brain-heart axis is crucial for elucidating TTS pathophysiology.

Purpose of the Study:

To investigate potential neurological underpinnings of Takotsubo syndrome.
To identify structural and functional brain alterations in TTS patients using advanced neuroimaging.
To explore the role of the emotional-autonomic control system in TTS.

Main Methods:

Multivariate pattern analysis utilizing machine learning algorithms.
Analysis of multimodal magnetic resonance imaging (MRI) data from TTS patients and matched healthy controls.
Assessment of anatomical and neurophysiological brain measures.

Main Results:

Consistent structural and functional brain alterations were identified in TTS patients compared to controls.
Brain regions involved in emotional-autonomic regulation showed significant contributions to TTS prediction.
Machine learning models achieved over 82% accuracy in predicting TTS based on brain data.

Conclusions:

Homogeneous neuronal alterations are present in patients with Takotsubo syndrome.
Findings support the critical role of brain-heart interaction in the pathophysiology of TTS.
Neuroimaging provides valuable insights into the etiology and mechanisms of TTS.