ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2016
Sensitivity of the resting-state haemodynamic response function estimation to autonomic nervous system fluctuations.
Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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19 citing papers in PubMed.
- Unveiling Functional-Metabolic Synergy in the Healthy Brain: Multivariate Integration of Dynamic [Human brain mapping · 2026Article
- Neuroimaging of Disorder of Consciousness: From Brain Network Mechanisms to Clinical Translation.Journal of clinical neurology (Seoul, Korea) · 2026Review
- Global signal regression reduces connectivity patterns related to physiological signals and does not alter EEG-derived connectivity.Frontiers in neuroimaging · 2025Article
- The brain's "dark energy" puzzle: How strongly is glucose metabolism linked to resting-state brain activity?Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024Article
- Neuroimaging Studies of the Neural Correlates of Heart Rate Variability: A Systematic Review.Journal of clinical medicine · 2023Review
- Temporal stability of the hemodynamic response function across the majority of human cerebral cortex.Human brain mapping · 2022Article
- The Atypical Effective Connectivity of Right Temporoparietal Junction in Autism Spectrum Disorder: A Multi-Site Study.Frontiers in neuroscience · 2022Article
- Disrupted communication of the temporoparietal junction in patients with major depressive disorder.Cognitive, affective & behavioral neuroscience · 2021Article
- Dynamic time warping outperforms Pearson correlation in detecting atypical functional connectivity in autism spectrum disorders.NeuroImage · 2020Article
- Personalized connectome fingerprints: Their importance in cognition from childhood to adult years.NeuroImage · 2020Article
- Cortical temporal hierarchy is immature in middle childhood.NeuroImage · 2020Article
- Uncovering complex central autonomic networks at rest: a functional magnetic resonance imaging study on complex cardiovascular oscillations.Journal of the Royal Society, Interface · 2020Article
- Exploring the functional connectome in white matter.Human brain mapping · 2019Article
- Sustained versus instantaneous connectivity differentiates cognitive functions of processing speed and episodic memory.Human brain mapping · 2018Article
- Structural Covariance of the Prefrontal-Amygdala Pathways Associated with Heart Rate Variability.Frontiers in human neuroscience · 2018Article
- Visibility graphs for fMRI data: Multiplex temporal graphs and their modulations across resting-state networks.Network neuroscience (Cambridge, Mass.) · 2017Article
- Time-Resolved Resting-State Functional Magnetic Resonance Imaging Analysis: Current Status, Challenges, and New Directions.Brain connectivity · 2017Review
- A Resilient, Non-neuronal Source of the Spatiotemporal Lag Structure Detected by BOLD Signal-Based Blood Flow Tracking.Frontiers in neuroscience · 2017Article
- Uncovering brain-heart information through advanced signal and image processing.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2016Article
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Abstract
The haemodynamic response function (HRF) is a key component of the blood oxygen level-dependent (BOLD) signal, providing the mapping between neural activity and the signal measured with functional magnetic resonance imaging (fMRI). Most of the time the HRF is associated with task-based fMRI protocols, in which its onset is explicitly included in the design matrix. On the other hand, the HRF also mediates the relationship between spontaneous neural activity and the BOLD signal in resting-state protocols, in which no explicit stimulus is taken into account. It has been shown that resting-state brain dynamics can be characterized by looking at sparse BOLD 'events', which can be retrieved by point process analysis. These events can be then used to retrieve the HRF at rest. Crucially, cardiac activity can also induce changes in the BOLD signal, thus affecting both the number of these events and the estimation of the haemodynamic response. In this study, we compare the resting-state haemodynamic response retrieved by means of a point process analysis, taking the cardiac fluctuations into account. We find that the resting-state HRF estimation is significantly modulated in the brainstem and surrounding cortical areas. From the analysis of two high-quality datasets with different temporal and spatial resolution, and through the investigation of intersubject correlation, we suggest that spontaneous point process response durations are associated with the mean interbeat interval and low-frequency power of heart rate variability in the brainstem.
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