ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2014
The frustrated brain: from dynamics on motifs to communities and networks.
Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed.
- Frustration in physiology and molecular medicine.Molecular aspects of medicine · 2025Review
- Mapping and modeling age-related changes in intrinsic neural timescales.Communications biology · 2025Article
- Biological detail and graph structure in network neuroscience.Frontiers in network physiology · 2025Review
- Adaptive Whole-Brain Dynamics Predictive Method: Relevancy to Mental Disorders.Research (Washington, D.C.) · 2025Article
- Quantifying individual variability in neural control circuit regulation using single-subject fMRI.Computational brain & behavior · 2023Article
- Abnormal and Changing Information Interaction in Adults with Attention-Deficit/Hyperactivity Disorder Based on Network Motifs.Brain sciences · 2023Article
- Article
- Disrupted multi-scale topological organization of directed functional brain networks in patients with disorders of consciousness.Brain communications · 2023Article
- Dynamical Mechanism Analysis of Three Neuroregulatory Strategies on the Modulation of Seizures.International journal of molecular sciences · 2022Article
- Differential Patterns of Change in Brain Connectivity Resulting from Severe Traumatic Brain Injury.Brain connectivity · 2022Article
- Biophysical mechanism of the interaction between default mode network and working memory network.Cognitive neurodynamics · 2021Article
- Principles and open questions in functional brain network reconstruction.Human brain mapping · 2021Review
- Flexible brain dynamics underpins complex behaviours as observed in Parkinson's disease.Scientific reports · 2021Article
- Brain network motifs are markers of loss and recovery of consciousness.Scientific reports · 2021Article
- Synchronization dependent on spatial structures of a mesoscopic whole-brain network.PLoS computational biology · 2019Article
- Metastable brain waves.Nature communications · 2019Article
- Gauging Functional Brain Activity: From Distinguishability to Accessibility.Frontiers in physiology · 2019Article
- Modeling and interpreting mesoscale network dynamics.NeuroImage · 2018Review
- A biophysical model of dynamic balancing of excitation and inhibition in fast oscillatory large-scale networks.PLoS computational biology · 2018Article
- Estimating the impact of structural directionality: How reliable are undirected connectomes?Network neuroscience (Cambridge, Mass.) · 2018Article
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2 authors.
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Abstract
Cognitive function depends on an adaptive balance between flexible dynamics and integrative processes in distributed cortical networks. Patterns of zero-lag synchrony likely underpin numerous perceptual and cognitive functions. Synchronization fulfils integration by reducing entropy, while adaptive function mandates that a broad variety of stable states be readily accessible. Here, we elucidate two complementary influences on patterns of zero-lag synchrony that derive from basic properties of brain networks. First, mutually coupled pairs of neuronal subsystems-resonance pairs-promote stable zero-lag synchrony among the small motifs in which they are embedded, and whose effects can propagate along connected chains. Second, frustrated closed-loop motifs disrupt synchronous dynamics, enabling metastable configurations of zero-lag synchrony to coexist. We document these two complementary influences in small motifs and illustrate how these effects underpin stable versus metastable phase-synchronization patterns in prototypical modular networks and in large-scale cortical networks of the macaque (CoCoMac). We find that the variability of synchronization patterns depends on the inter-node time delay, increases with the network size and is maximized for intermediate coupling strengths. We hypothesize that the dialectic influences of resonance versus frustration may form a dynamic substrate for flexible neuronal integration, an essential platform across diverse cognitive processes.
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