ArticleNature communications2024
Evolutionarily conserved fMRI network dynamics in the mouse, macaque, and human brain.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Where do we stand on fMRI in awake mice?Cerebral cortex (New York, N.Y. : 1991) · 2024Pooled it
- Polarisation of brain dynamics in mania and depression.Dialogues in clinical neuroscience · 2026Article
- Sharp and smooth state transitions during resting state brain dynamics.bioRxiv : the preprint server for biology · 2026Article
- Temporal stability of functional network configurations and its relationship to cognition and psychopathology in early psychoses.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Article
- Unlocking spontaneous cognition in the age of data science.Nature reviews. Neuroscience · 2026Article
- Adolescent exposure to the psychedelic 25C-NBOMe in rats induces lasting competitive avoidance through disrupted hippocampal-prefrontal synchrony.Nature neuroscience · 2026Article
- Human cortex organizes dynamic co-fluctuations along the sensorimotor-association axis.Nature communications · 2026Article
- Resting fMRI functional connectivity reflects fluctuations in inhibitory interneuron activity.bioRxiv : the preprint server for biology · 2026Article
- Dissociable, species-specific impact of Aβ on static and dynamic functional connectomes.bioRxiv : the preprint server for biology · 2026Article
- Long-range axon branching: contributions to brain network plasticity and repair.Nature reviews. Neuroscience · 2026Review
- Connectomes across temporal scales with simultaneous wide-field optical imaging and resting-state functional MRI.bioRxiv : the preprint server for biology · 2026Article
- Attractor dynamics of a whole-cortex network model predicts emergence and structure of fMRI co-activation patterns in the mouse brain.PLoS computational biology · 2026Article
- TransBrain: a computational framework for translating brain-wide phenotypes between humans and mice.Nature methods · 2026Article
- Maximum entropy model reveals frequent brain state switching in a multiversal brain function analysis in early psychoses.bioRxiv : the preprint server for biology · 2026Article
- Brain-wide resting-state fMRI network dynamics elicited by activation of single thalamic input.Nature communications · 2025Article
- Article
- fMRI data acquisition and analysis for task-free, anesthetized rats.Nature protocols · 2025Review
- Multimodal identification of the mouse brain using simultaneous CaCommunications biology · 2025Article
- DySCo: A general framework for dynamic functional connectivity.PLoS computational biology · 2025Article
- Charting the path in rodent functional neuroimaging.Imaging neuroscience (Cambridge, Mass.) · 2025Article
Corrections and comments
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5 authors.
Funding
Abstract
Evolutionarily relevant networks have been previously described in several mammalian species using time-averaged analyses of fMRI time-series. However, fMRI network activity is highly dynamic and continually evolves over timescales of seconds. Whether the dynamic organization of resting-state fMRI network activity is conserved across mammalian species remains unclear. Using frame-wise clustering of fMRI time-series, we find that intrinsic fMRI network dynamics in awake male macaques and humans is characterized by recurrent transitions between a set of 4 dominant, neuroanatomically homologous fMRI coactivation modes (C-modes), three of which are also plausibly represented in the male rodent brain. Importantly, in all species C-modes exhibit species-invariant dynamic features, including preferred occurrence at specific phases of fMRI global signal fluctuations, and a state transition structure compatible with infraslow coupled oscillator dynamics. Moreover, dominant C-mode occurrence reconstitutes the static organization of the fMRI connectome in all species, and is predictive of ranking of corresponding fMRI connectivity gradients. These results reveal a set of species-invariant principles underlying the dynamic organization of fMRI networks in mammalian species, and offer novel opportunities to relate fMRI network findings across the phylogenetic tree.
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