ArticleNature communications2018
Uncovering hidden brain state dynamics that regulate performance and decision-making during cognition.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers.
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Who cites it
108 citing papers in PubMed.
- Bayesian dynamical system analysis of the effects of methylphenidate in children with attention-deficit/hyperactivity disorder: a randomized trial.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023Trial
- Methylphenidate Enhances Spontaneous Fluctuations in Reward and Cognitive Control Networks in Children With Attention-Deficit/Hyperactivity Disorder.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2023Trial
- Methylphenidate remediates aberrant brain network dynamics in children with attention-deficit/hyperactivity disorder: A randomized controlled trial.NeuroImage · 2022Trial
- Sharp and smooth state transitions during resting state brain dynamics.bioRxiv : the preprint server for biology · 2026Article
- Human cortex organizes dynamic co-fluctuations along the sensorimotor-association axis.Nature communications · 2026Article
- Striatal dopamine signals internal states related to behavioral performance over prolonged timescales in monkeys.bioRxiv : the preprint server for biology · 2026Article
- Multimodal Representation Learning for Parsing Biological Heterogeneity in Psychiatric Neuroimaging.Biological psychiatry · 2026Review
- Learning brain dynamics across distinct scaling regimes reveals psychiatric signatures.Communications biology · 2026Article
- Latent brain state dynamics predict early amyloid accumulation and cognitive impairment.bioRxiv : the preprint server for biology · 2026Article
- Dynamic modeling in neurocognitive frameworks of childhood ADHD: a review of inhibitory control and reward systems.Translational psychiatry · 2026Review
- Probabilistic Cognitive State Modeling (PCSM): Decoding dynamic brain states to derive emergent cognitive processing properties from task fMRI.NeuroImage · 2026Article
- Geometry of neural dynamics along the cortical attractor landscape reflects changes in attention.Nature communications · 2026Article
- Article
- Brain-wide resting-state fMRI network dynamics elicited by activation of single thalamic input.Nature communications · 2025Article
- Cognitive embodied learning for anomaly active target tracking.Communications engineering · 2025Article
- Mapping content and dynamics in the stream of consciousness through latent brain state analysis.iScience · 2025Article
- Patterns of neural activity in prelimbic cortex neurons correlate with attentional behavior in the rodent continuous performance test.Translational psychiatry · 2025Article
- Probabilistic Cognitive State Modeling (PCSM): Decoding Latent Spatiotemporal Dynamics to Reveal Serial-Parallel Processing, Cognitive Demand, and Serial Bottleneck in Task-Based fMRI.bioRxiv : the preprint server for biology · 2025Article
- Ketamine-induced static and dynamic functional connectivity changes are modulated by opioid receptors and biological sex in rats.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025Article
- Context modulates brain state dynamics and behavioral responses during narrative comprehension.bioRxiv : the preprint server for biology · 2025Article
48 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Human cognition is influenced not only by external task demands but also latent mental processes and brain states that change over time. Here, we use novel Bayesian switching dynamical systems algorithm to identify hidden brain states and determine that these states are only weakly aligned with external task conditions. We compute state transition probabilities and demonstrate how dynamic transitions between hidden states allow flexible reconfiguration of functional brain circuits. Crucially, we identify latent transient brain states and dynamic functional circuits that are optimal for cognition and show that failure to engage these states in a timely manner is associated with poorer task performance and weaker decision-making dynamics. We replicate findings in a large sample (N = 122) and reveal a robust link between cognition and flexible latent brain state dynamics. Our study demonstrates the power of switching dynamical systems models for investigating hidden dynamic brain states and functional interactions underlying human cognition.
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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.