About this Research Topic
Complex bidirectional interactions between the heart and the brain have been described in the literature, which is not fully explained by shared risk factors. Growing evidence suggests that cardiovascular conditions, such as coronary artery disease or heart failure, can lead to brain alterations and predispose to stroke, cerebral microvascular disease, and dementia. In turn, brain conditions like strokes can be associated with several cardiac complications, thus increasing the risk of incident cardiovascular events and mortality.
Given the projected increase of cardiovascular diseases and dementia due to an aging population, new preventative approaches that consider the causal mechanisms underlying heart-brain interactions are thus needed to alleviate the economic burden on the healthcare system. Recent studies have demonstrated the potential of imaging modalities to provide new insights into the mechanisms behind the heart-brain crosstalk by identifying biomarkers of disease progression, which can guide preventative strategies and targeted treatment.
The aim of the present Research Topic is to discuss the heart-brain interactions occurring in the presence of comorbid conditions, and the applications of imaging biomarkers for early diagnosis and prognosis of cardiovascular and neurovascular complications.
This Research Topic encourages manuscripts on the following subjects but is not limited to:
• Imaging biomarkers of brain injury in patients with cardiovascular conditions.
• Imaging biomarkers of cardiac dysfunction in patients with cerebrovascular conditions and dementia.
• Multimodality imaging of the heart-brain axis and the role of risk factors and comorbid conditions in the crosstalk.
• Applications of imaging biomarkers to improve personalized medicine in brain-heart comorbid diseases.
• Translational research on mechanisms of brain alterations in prevalent cardiovascular conditions.
• Translational research on mechanisms of cardiac dysfunction in the setting of stroke, dementia, and other cerebral disorders.
We welcome submissions of the following article types: Original Research, Case Reports, Reviews, Opinion Pieces and Perspectives, Methods, and Study Protocols.
We acknowledge Dr. Elisa Rauseo, MD (Queen Mary University of London, UK) as the Topic Coordinator who has contributed to the preparation of this Research Topic. Their research interests include cardiovascular medicine, imaging modalities, radiomics, machine learning, and artificial intelligence to improve early diagnosis, phenotyping, risk stratification, and prognosis of heterogeneous cardiovascular conditions.
Given the projected increase of cardiovascular diseases and dementia due to an aging population, new preventative approaches that consider the causal mechanisms underlying heart-brain interactions are thus needed to alleviate the economic burden on the healthcare system. Recent studies have demonstrated the potential of imaging modalities to provide new insights into the mechanisms behind the heart-brain crosstalk by identifying biomarkers of disease progression, which can guide preventative strategies and targeted treatment.
The aim of the present Research Topic is to discuss the heart-brain interactions occurring in the presence of comorbid conditions, and the applications of imaging biomarkers for early diagnosis and prognosis of cardiovascular and neurovascular complications.
This Research Topic encourages manuscripts on the following subjects but is not limited to:
• Imaging biomarkers of brain injury in patients with cardiovascular conditions.
• Imaging biomarkers of cardiac dysfunction in patients with cerebrovascular conditions and dementia.
• Multimodality imaging of the heart-brain axis and the role of risk factors and comorbid conditions in the crosstalk.
• Applications of imaging biomarkers to improve personalized medicine in brain-heart comorbid diseases.
• Translational research on mechanisms of brain alterations in prevalent cardiovascular conditions.
• Translational research on mechanisms of cardiac dysfunction in the setting of stroke, dementia, and other cerebral disorders.
We welcome submissions of the following article types: Original Research, Case Reports, Reviews, Opinion Pieces and Perspectives, Methods, and Study Protocols.
We acknowledge Dr. Elisa Rauseo, MD (Queen Mary University of London, UK) as the Topic Coordinator who has contributed to the preparation of this Research Topic. Their research interests include cardiovascular medicine, imaging modalities, radiomics, machine learning, and artificial intelligence to improve early diagnosis, phenotyping, risk stratification, and prognosis of heterogeneous cardiovascular conditions.
Keywords: Heart-brain axis diseases, multimodality imaging, biomarkers, mechanisms, prevention, neuroradiology, MRI, CMR
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
