ArticleNetwork neuroscience (Cambridge, Mass.)2020
Synergistic information in a dynamical model implemented on the human structural connectome reveals spatially distinct associations with age.
Article in Network neuroscience (Cambridge, Mass.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Longitudinal excitation-inhibition balance altered by sex and APOE-ε4.Communications biology · 2025Article
- A graph neural network approach to investigate brain critical states over neurodevelopment.Network neuroscience (Cambridge, Mass.) · 2025Article
- Disrupted excitation-inhibition balance in cognitively normal individuals at risk of Alzheimer's disease.bioRxiv : the preprint server for biology · 2023Article
- Disrupted Excitation-Inhibition Balance in Cognitively Normal Individuals at Risk of Alzheimer's Disease.Journal of Alzheimer's disease : JAD · 2023Article
- Enhanced simulations of whole-brain dynamics using hybrid resting-state structural connectomes.Frontiers in computational neuroscience · 2023Article
- Pairwise and high-order dependencies in the cryptocurrency trading network.Scientific reports · 2022Article
- High-order functional redundancy in ageing explained via alterations in the connectome in a whole-brain model.PLoS computational biology · 2022Article
- Inferring excitation-inhibition dynamics using a maximum entropy model unifying brain structure and function.Network neuroscience (Cambridge, Mass.) · 2022Article
- Conservative significance testing of tripartite statistical relations in multivariate neural data.Network neuroscience (Cambridge, Mass.) · 2022Article
- A Framework to Assess the Information Dynamics of Source EEG Activity and Its Application to Epileptic Brain Networks.Brain sciences · 2020Article
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5 authors.
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Abstract
We implement the dynamical Ising model on the large-scale architecture of white matter connections of healthy subjects in the age range 4-85 years, and analyze the dynamics in terms of the synergy, a quantity measuring the extent to which the joint state of pairs of variables is projected onto the dynamics of a target one. We find that the amount of synergy in explaining the dynamics of the hubs of the structural connectivity (in terms of degree strength) peaks before the critical temperature, and can thus be considered as a precursor of a critical transition. Conversely, the greatest amount of synergy goes into explaining the dynamics of more central nodes. We also find that the aging of structural connectivity is associated with significant changes in the simulated dynamics: There are brain regions whose synergy decreases with age, in particular the frontal pole, the subcallosal area, and the supplementary motor area; these areas could then be more likely to show a decline in terms of the capability to perform higher order computation (if structural connectivity was the sole variable). On the other hand, several regions in the temporal cortex show a positive correlation with age in the first 30 years of life, that is, during brain maturation.
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