Uncovering brain-heart information through advanced signal and image processing.
Gaetano ValenzaNicola ToschiRiccardo BarbieriPublished in: Philosophical transactions. Series A, Mathematical, physical, and engineering sciences (2016)
Through their dynamical interplay, the brain and the heart ensure fundamental homeostasis and mediate a number of physiological functions as well as their disease-related aberrations. Although a vast number of ad hoc analytical and computational tools have been recently applied to the non-invasive characterization of brain and heart dynamic functioning, little attention has been devoted to combining information to unveil the interactions between these two physiological systems. This theme issue collects contributions from leading experts dealing with the development of advanced analytical and computational tools in the field of biomedical signal and image processing. It includes perspectives on recent advances in 7 T magnetic resonance imaging as well as electroencephalogram, electrocardiogram and cerebrovascular flow processing, with the specific aim of elucidating methods to uncover novel biological and physiological correlates of brain-heart physiology and physiopathology.
Keyphrases
- resting state
- white matter
- magnetic resonance imaging
- heart failure
- functional connectivity
- atrial fibrillation
- cerebral ischemia
- deep learning
- gene expression
- mass spectrometry
- healthcare
- multiple sclerosis
- health information
- magnetic resonance
- machine learning
- blood brain barrier
- genome wide
- density functional theory