ArticleFrontiers in systems neuroscience2020
Ghost Attractors in Spontaneous Brain Activity: Recurrent Excursions Into Functionally-Relevant BOLD Phase-Locking States.
Article in Frontiers in systems neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.
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60 citing papers in PubMed.
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- Energy-Based Phase-Locking State Analysis in Brain State Identification.Human brain mapping · 2026Article
- Large-scale brain dynamics are organized by a directional coordination hierarchy.bioRxiv : the preprint server for biology · 2026Article
- Functional connectivity-based attractor dynamics of the human brain in rest, task, and disease.eLife · 2026Article
- Dynamic Exploration of Resting-State Brain Attractors Altered in Major Depressive Disorder.Entropy (Basel, Switzerland) · 2026Article
- Task-related differences in network connectivity and dynamics in people with severe opioid use disorder compared with healthy controls.Translational psychiatry · 2026Article
- Creativity in Music: The Brain Dynamics of Jazz Improvisation.Annals of the New York Academy of Sciences · 2025Article
- Transcranial direct current stimulation modulates primate brain dynamics across states of consciousness.eLife · 2025Article
- Perturbing whole-brain models of brain hierarchy: An application for depression following pharmacological treatment.Annals of the New York Academy of Sciences · 2025Article
- Bridging local and global dynamics: a biologically grounded model for cooperative and competitive interactions in the brain.bioRxiv : the preprint server for biology · 2025Article
- Brain network dynamics following induced acute stress: a neural marker of psychological vulnerability to real-life chronic stress.Psychological medicine · 2025Article
- Studying time-resolved functional connectivity via communication theory: on the complementary nature of phase synchronization and sliding window Pearson correlation.bioRxiv : the preprint server for biology · 2025Article
- A multiplex of connectome trajectories enables several connectivity patterns in parallel.eLife · 2025Article
- Development of brain metastable dynamics during the equivalent of the third gestational trimester.Developmental cognitive neuroscience · 2025Review
- DySCo: A general framework for dynamic functional connectivity.PLoS computational biology · 2025Article
- Atypical attentional network dynamics in adolescent depression during emotional movie viewing.Social cognitive and affective neuroscience · 2025Article
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5 authors.
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Abstract
Functionally relevant network patterns form transiently in brain activity during rest, where a given subset of brain areas exhibits temporally synchronized BOLD signals. To adequately assess the biophysical mechanisms governing intrinsic brain activity, a detailed characterization of the dynamical features of functional networks is needed from the experimental side to constrain theoretical models. In this work, we use an open-source fMRI dataset from 100 healthy participants from the Human Connectome Project and analyze whole-brain activity using Leading Eigenvector Dynamics Analysis (LEiDA), which serves to characterize brain activity at each time point by its whole-brain BOLD phase-locking pattern. Clustering these BOLD phase-locking patterns into a set of k states, we demonstrate that the cluster centroids closely overlap with reference functional subsystems. Borrowing tools from dynamical systems theory, we characterize spontaneous brain activity in the form of trajectories within the state space, calculating the Fractional Occupancy and the Dwell Times of each state, as well as the Transition Probabilities between states. Finally, we demonstrate that within-subject reliability is maximized when including the high frequency components of the BOLD signal (>0.1 Hz), indicating the existence of individual fingerprints in dynamical patterns evolving at least as fast as the temporal resolution of acquisition (here
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