ReviewJournal of the Royal Society, Interface2022
May the 4C's be with you: an overview of complexity-inspired frameworks for analysing resting-state neuroimaging data.
Review in Journal of the Royal Society, Interface, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
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Who cites it
10 citing papers in PubMed.
- Pathfinding: a neurodynamical account of intuition.Communications biology · 2025Review
- Structured Dynamics in the Algorithmic Agent.Entropy (Basel, Switzerland) · 2025Article
- Flow and intuition: a systems neuroscience comparison.Neuroscience of consciousness · 2025Article
- 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
- Modeling the neurocognitive dynamics of language across the lifespan.Human brain mapping · 2024Article
- Complexity Measures for EEG Microstate Sequences: Concepts and Algorithms.Brain topography · 2024Review
- EiDA: A lossless approach for dynamic functional connectivity; application to fMRI data of a model of ageing.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Introducing Entropy into Organizational Psychology: An Entropy-Based Proactive Control Model.Behavioral sciences (Basel, Switzerland) · 2024Review
- A phenomenological model of whole brain dynamics using a network of neural oscillators with power-coupling.Scientific reports · 2023Article
- Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Competing and complementary models of resting-state brain dynamics contribute to our phenomenological and mechanistic understanding of whole-brain coordination and communication, and provide potential evidence for differential brain functioning associated with normal and pathological behaviour. These neuroscientific theories stem from the perspectives of physics, engineering, mathematics and psychology and create a complicated landscape of domain-specific terminology and meaning, which, when used outside of that domain, may lead to incorrect assumptions and conclusions within the neuroscience community. Here, we review and clarify the key concepts of connectivity, computation, criticality and coherence-the 4C's-and outline a potential role for metastability as a common denominator across these propositions. We analyse and synthesize whole-brain neuroimaging research, examined through functional magnetic imaging, to demonstrate that complexity science offers a principled and integrated approach to describe, and potentially understand, macroscale spontaneous brain functioning.
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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.