Uncovering brain–heart information through advanced signal and image processing

Valenza, Gaetano; Toschi, Nicola; Barbieri, Riccardo

doi:10.1098/rsta.2016.0020

Cited by 40 publications

(27 citation statements)

References 49 publications

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“…Time-variant coherence analysis is applied by Piper et al [73] to explore the dynamics of the central autonomic network that controls the cardiovascular and cardiorespiratory systems and their interactions with the brain in epileptic patients to quantify the role of epileptic neural networks on sympathetic cardiac control. Advanced signal and image-processing methods to quantify various aspects of brain-heart network interactions within the framework of Network Physiology have been further extended [35] following this focus issue on network medicine and network physiology. Another important question in this line of research is how temporal dynamics of individual network components contribute to global network behavior at the system level.…”

Section: New Data Science Methodology To Probe Physiologic Interactionsmentioning

confidence: 99%

“…This has helped establishing first associations of distinct physiologic states and conditions with network topology and with the temporal characteristics of organ interactions (network links) even when network topology remains unchanged [30,31]. It was discovered that brain-organ interactions have preferred channels of communication (frequency bands) that are specific for each organ [34] and recent efforts in the community by physicists and physiologists that focused on networks of brain-heart interactions identified new aspects of coupling and feedback mechanisms [35]. By developing the theoretical framework necessary to uncover basic principles of (i) integration among diverse physiologic systems that leads to complex physiologic functions at the organism level, and (ii) hierarchical reorganization of physiological networks and their evolution across states and conditions, investigations in the field of network physiology provide the building blocks of a first atlas of dynamic organ interactions.…”

Section: Introductionmentioning

confidence: 99%

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Focus on the emerging new fields of network physiology and network medicine

2016

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Despite the vast progress and achievements in systems biology and integrative physiology in the last decades, there is still a significant gap in understanding the mechanisms through which (i) genomic, proteomic and metabolic factors and signaling pathways impact vertical processes across cells, tissues and organs leading to the expression of different disease phenotypes and influence the functional and clinical associations between diseases, and (ii) how diverse physiological systems and organs coordinate their functions over a broad range of space and time scales and horizontally integrate to generate distinct physiologic states at the organism level. Two emerging fields, network medicine and network physiology, aim to address these fundamental questions. Novel concepts and approaches derived from recent advances in network theory, coupled dynamical systems, statistical and computational physics show promise to provide new insights into the complexity of physiological structure and function in health and disease, bridging the genetic and sub-cellular level with inter-cellular interactions and communications among integrated organ systems and sub-systems. These advances form first building blocks in the methodological formalism and theoretical framework necessary to address fundamental problems and challenges in physiology and medicine. This ‘focus on’ issue contains 26 articles representing state-of-the-art contributions covering diverse systems from the sub-cellular to the organism level where physicists have key role in laying the foundations of these new fields.

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Section: New Data Science Methodology To Probe Physiologic Interactionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Focus on the emerging new fields of network physiology and network medicine

2016

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“…We also aimed to explore associations between conscious somatosensory perception and the heart rate. The bidirectional information flow between the heart and the brain (Faes et al, ; Lin, Liu, Bartsch, & Ivanov, ; Valenza, Toschi, & Barbieri, ) implies that cardiac activity may not only impact perception but is also influenced by it. Therefore, we tested whether the prestimulus heart rate influences conscious perception and, in turn, whether perception changes the (poststimulus) heart rate.…”

Section: Introductionmentioning

confidence: 99%

Interactions between cardiac activity and conscious somatosensory perception

et al. 2019

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“…We also aimed to explore associations between conscious somatosensory perception and the heart rate. The bidirectional information flow between the heart and the brain (Faes et al, 2017, Lin, Liu, Bartsch, & Ivanov, 2016, Valenza, Toschi, & Barbieri, 2016 implies that cardiac activity may not only impact perception but also be influenced by it. Therefore, we tested whether the pre-stimulus heart rate influences conscious perception and, in turn, whether perception changes the (post-stimulus) heart rate.…”

Section: Introductionmentioning

confidence: 99%

Interactions between cardiac activity and conscious somatosensory perception

Motyka

Grund

Forschack

et al. 2019

Preprint

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Fluctuations in the heart's activity can modulate the access of external stimuli to consciousness.The link between perceptual awareness and cardiac signals has been investigated mainly in the visual and auditory domain. We here investigated whether the phase of the cardiac cycle and the pre-stimulus heart rate influence conscious somatosensory perception. We also tested how conscious detection of somatosensory stimuli affects the heart rate. Electrocardiograms (ECG) of 33 healthy volunteers were recorded while applying near-threshold electrical pulses at a fixed intensity to the left index finger. Conscious detection was not uniformly distributed across the cardiac cycle but significantly higher in diastole than in systole. We found no evidence that the heart rate before a stimulus influenced its detection but hits (correctly detected somatosensory stimuli) led to a more pronounced cardiac deceleration than misses. Our findings demonstrate interactions between cardiac activity and conscious somatosensory perception, which highlights the importance of internal bodily states for sensory processing beyond the auditory and visual domain. Impact StatementIt is highly debated to what extent cardiac activity modulates the access of external stimuli to consciousness. The evidence is inconsistent across sensory modalities and previous research focused at specific intervals within the cardiac cycle. Here, we examined the perception of nearthreshold electrical pulses across the entire cardiac cycle. Our results show that conscious somatosensory perception is enhanced during the late phase of the cardiac cycle (at diastole) and associated with a more pronounced cardiac deceleration (as compared to non-detected stimuli). This strengthens the evidence that the physiological state of the body influences how we perceive the world.

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Uncovering brain–heart information through advanced signal and image processing

Cited by 40 publications

References 49 publications

Focus on the emerging new fields of network physiology and network medicine

Focus on the emerging new fields of network physiology and network medicine

Interactions between cardiac activity and conscious somatosensory perception

Interactions between cardiac activity and conscious somatosensory perception

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