ArticleNeuroImage2020
Resting-state "physiological networks".
Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers, 1 of them a synthesis that pooled it.
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Who cites it
104 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic power of resting-state fMRI for detection of network connectivity in Alzheimer's disease and mild cognitive impairment: A systematic review.Human brain mapping · 2021Pooled it
- Ultrafast fMRI Detects Age-Related Changes in Harmonics of Cardiac Pulsations in the Brain at 7 T.Magnetic resonance in medicine · 2026Article
- Lag-adjusted functional network connectivity reveals sensorimotor and higher cognitive network alterations in depression.Research square · 2026Article
- Disrupted Coupling of Heart Rate-Dependent Brain Network Switching and Attentional Task Performance in Schizophrenia Spectrum Disorders.medRxiv : the preprint server for health sciences · 2026Article
- Distributed fMRI Patterns Coupled to Low-Frequency Cardiorespiratory Dynamics Provide Markers of Aging.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Global cortical arousal effects in fMRI reveal brain markers of state and trait anxiety.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- Improving respiratory and heart rate variation estimation from resting-state BOLD fMRI across the lifespan using a functionally informed, tissue-aware deep learning framework.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- Replication challenges in linking personality to resting-state functional connectomics.Frontiers in computational neuroscience · 2026Article
- Interoception network in the rat brain.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- Distributed fMRI patterns coupled to low-frequency cardiorespiratory dynamics provide markers of aging.bioRxiv : the preprint server for biology · 2025Article
- Article
- Ultrafast fMRI detects age-related changes in harmonics of cardiac pulsations in the brain at 7 T.bioRxiv : the preprint server for biology · 2025Article
- Functional MRI signals as fast as 1Hz are coupled to brain states and predict spontaneous neural activity.bioRxiv : the preprint server for biology · 2025Article
- Uncovering the impact of the cardiovascular system on cerebrovascular health using MRI.Experimental physiology · 2025Review
- Functional MRI signatures of autonomic physiology in aging.Communications biology · 2025Article
- The functional overlap between respiration and global signal and its behavioral relevance.Communications biology · 2025Article
- Review
- Emo-FilM: A multimodal dataset for affective neuroscience using naturalistic stimuli.Scientific data · 2025Article
- Functional MRI Signatures of Autonomic Physiology in Aging.bioRxiv : the preprint server for biology · 2025Article
- The Physiological Component of the BOLD Signal: Impact of Age and Heart Rate Variability Biofeedback Training.bioRxiv : the preprint server for biology · 2025Article
44 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Slow changes in systemic brain physiology can elicit large fluctuations in fMRI time series, which manifest as structured spatial patterns of temporal correlations between distant brain regions. Here, we investigated whether such "physiological networks"-sets of segregated brain regions that exhibit similar responses following slow changes in systemic physiology-resemble patterns associated with large-scale networks typically attributed to remotely synchronized neuronal activity. By analyzing a large group of subjects from the 3T Human Connectome Project (HCP) database, we demonstrate brain-wide and noticeably heterogenous dynamics tightly coupled to either respiratory variation or heart rate changes. We show, using synthesized data generated from physiological recordings across subjects, that these physiologically-coupled fluctuations alone can produce networks that strongly resemble previously reported resting-state networks, suggesting that, in some cases, the "physiological networks" seem to mimic the neuronal networks. Further, we show that such physiologically-relevant connectivity estimates appear to dominate the overall connectivity observations in multiple HCP subjects, and that this apparent "physiological connectivity" cannot be removed by the use of a single nuisance regressor for the entire brain (such as global signal regression) due to the clear regional heterogeneity of the physiologically-coupled responses. Our results challenge previous notions that physiological confounds are either localized to large veins or globally coherent across the cortex, therefore emphasizing the necessity to consider potential physiological contributions in fMRI-based functional connectivity studies. The rich spatiotemporal patterns carried by such "physiological" dynamics also suggest great potential for clinical biomarkers that are complementary to large-scale neuronal networks.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.