ArticleNeuroImage2022
Metastability, fractal scaling, and synergistic information processing: What phase relationships reveal about intrinsic brain activity.
Article in NeuroImage, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07221864 (Decoding Emotional Dynamics Driving Mood Instability in Bipolar Disorder), which is not on this map. Cited by 21 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Decoding Emotional Dynamics Driving Mood Instability in Bipolar Disorder
Who cites it
21 citing papers in PubMed.
- Arousal-driven critical roaming reproduces human functional connectivity dynamics.PLoS biology · 2026Article
- Dynamic Exploration of Resting-State Brain Attractors Altered in Major Depressive Disorder.Entropy (Basel, Switzerland) · 2026Article
- 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
- Article
- DySCo: A general framework for dynamic functional connectivity.PLoS computational biology · 2025Article
- Metastability demystified - the foundational past, the pragmatic present and the promising future.Nature reviews. Neuroscience · 2025Review
- Metastable dynamics emerge from local excitatory-inhibitory homeostasis in the cortex at rest.Network neuroscience (Cambridge, Mass.) · 2025Article
- Identifying dynamic reproducible brain states using a predictive modelling approach.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Measuring the dynamic balance of integration and segregation underlying consciousness, anesthesia, and sleep in humans.Nature communications · 2024Article
- Insomnia disorder characterized by probabilistic metastable substates using blood-oxygenation-level-dependent (BOLD) phase signals.Sleep & breathing = Schlaf & Atmung · 2024Article
- Exploring psychedelic-assisted therapy in the treatment of functional seizures: A review of underlying mechanisms and associated brain networks.Journal of psychopharmacology (Oxford, England) · 2024Review
- EiDA: A lossless approach for dynamic functional connectivity; application to fMRI data of a model of ageing.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Long-term mindfulness meditation increases occurrence of sensory and attention brain states.Frontiers in human neuroscience · 2024Article
- Article
- Multifractal long-range dependence pattern of functional magnetic resonance imaging in the human brain at rest.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Depression recurrence is accompanied by longer periods in default mode and more frequent attentional and reward processing dynamic brain-states during resting-state activity.Human brain mapping · 2023Article
- Enhanced simulations of whole-brain dynamics using hybrid resting-state structural connectomes.Frontiers in computational neuroscience · 2023Article
- Dynamic phase-locking states and personality in sub-acute mild traumatic brain injury: An exploratory study.PloS one · 2023Article
- Article
- May the 4C's be with you: an overview of complexity-inspired frameworks for analysing resting-state neuroimaging data.Journal of the Royal Society, Interface · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Dynamic functional connectivity (dFC) in resting-state fMRI holds promise to deliver candidate biomarkers for clinical applications. However, the reliability and interpretability of dFC metrics remain contested. Despite a myriad of methodologies and resulting measures, few studies have combined metrics derived from different conceptualizations of brain functioning within the same analysis - perhaps missing an opportunity for improved interpretability. Using a complexity-science approach, we assessed the reliability and interrelationships of a battery of phase-based dFC metrics including tools originating from dynamical systems, stochastic processes, and information dynamics approaches. Our analysis revealed novel relationships between these metrics, which allowed us to build a predictive model for integrated information using metrics from dynamical systems and information theory. Furthermore, global metastability - a metric reflecting simultaneous tendencies for coupling and decoupling - was found to be the most representative and stable metric in brain parcellations that included cerebellar regions. Additionally, spatiotemporal patterns of phase-locking were found to change in a slow, non-random, continuous manner over time. Taken together, our findings show that the majority of characteristics of resting-state fMRI dynamics reflect an interrelated dynamical and informational complexity profile, which is unique to each acquisition. This finding challenges the interpretation of results from cross-sectional designs for brain neuromarker discovery, suggesting that individual life-trajectories may be more informative than sample means.
Indexed as
Identifiers
What OpenQuestion holds
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.