ArticleCommunications biology2021
Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep.
Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Ethical imperatives in the commercialization of brain-computer interfaces.IBRO neuroscience reports · 2025Article
- Thermodynamic Biomarkers of Neuroinflammation: Nanothermometry, Energy-Stress Dynamics, and Predictive Entropy in Glial-Vascular Networks.International journal of molecular sciences · 2025Review
- Spatiotemporal Characterization of the Functional MRI Latency Structure with Respect to Neural Signaling and Brain Hierarchy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Spatiotemporal brain complexity quantifies consciousness outside of perturbation paradigms.eLife · 2025Article
- Investigating the complex cortical dynamics of an advanced concentrative absorption meditation called jhanas (ACAM-J): a geometric eigenmode analysis.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Modelling low-dimensional interacting brain networks reveals organising principle in human cognition.Network neuroscience (Cambridge, Mass.) · 2025Article
- Modulation of functional network co-activation pattern dynamics following ketamine treatment in major depression.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Complexity in speech and music listening via neural manifold flows.Network neuroscience (Cambridge, Mass.) · 2025Article
- Structural connectome manifold changes related to body mass index and their associations with eating psychopathology.NeuroImage. Clinical · 2025Article
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- Interdependence patterns of multifrequency oscillations predict visuomotor behavior.Network neuroscience (Cambridge, Mass.) · 2025Article
- Symmetry breaking organizes the brain's resting state manifold.Scientific reports · 2024Article
- A Task-Related EEG Microstate Clustering Algorithm Based on Spatial Patterns, Riemannian Distance, and a Deep Autoencoder.Brain sciences · 2024Article
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- Reproducible, data-driven characterization of sleep based on brain dynamics and transitions from whole-night fMRI.medRxiv : the preprint server for health sciences · 2024Article
- Functional hierarchies in brain dynamics characterized by signal reversibility in ferret cortex.PLoS computational biology · 2024Article
Corrections and comments
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Authors and funding
7 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Current state-of-the-art functional magnetic resonance imaging (fMRI) offers remarkable imaging quality and resolution, yet, the intrinsic dimensionality of brain dynamics in different states (wakefulness, light and deep sleep) remains unknown. Here we present a method to reveal the low dimensional intrinsic manifold underlying human brain dynamics, which is invariant of the high dimensional spatio-temporal representation of the neuroimaging technology. By applying this intrinsic manifold framework to fMRI data acquired in wakefulness and sleep, we reveal the nonlinear differences between wakefulness and three different sleep stages, and successfully decode these different brain states with a mean accuracy across participants of 96%. Remarkably, a further group analysis shows that the intrinsic manifolds of all participants share a common topology. Overall, our results reveal the intrinsic manifold underlying the spatiotemporal dynamics of brain activity and demonstrate how this manifold enables the decoding of different brain states such as wakefulness and various sleep stages.
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