ArticlePLoS computational biology2019
Information integration in large brain networks.
Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Brain network dynamics in the wake-sleep transition reorganize according to task engagement.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- Brain network alterations in mobile phone use problem severity: A multimodal neuroimaging analysis.Journal of behavioral addictions · 2025Article
- Article
- Exploring effects of anesthesia on complexity, differentiation, and integrated information in rat EEG.Neuroscience of consciousness · 2024Article
- Information-Theoretic Approaches in EEG Correlates of Auditory Perceptual Awareness under Informational Masking.Biology · 2023Article
- Entropy and Cross-Level Orderliness in Light of the Interconnection between the Neural System and Consciousness.Entropy (Basel, Switzerland) · 2023Review
- Separating weak integrated information theory into inspired and aspirational approaches.Neuroscience of consciousness · 2023Review
- Digital computing through randomness and order in neural networks.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Thalamic deep brain stimulation paradigm to reduce consciousness: Cortico-striatal dynamics implicated in mechanisms of consciousness.PLoS computational biology · 2022Article
- Different Approximation Methods for Calculation of Integrated Information Coefficient in the Brain during Instrumental Learning.Brain sciences · 2022Article
- Brain information processing capacity modeling.Scientific reports · 2022Article
- High-level cognition during story listening is reflected in high-order dynamic correlations in neural activity patterns.Nature communications · 2021Article
- Topological analysis of differential effects of ketamine and propofol anaesthesia on brain dynamics.Royal Society open science · 2021Article
- Consciousness depends on integration between parietal cortex, striatum, and thalamus.Cell systems · 2021Article
- Integrated information structure collapses with anesthetic loss of conscious arousal in Drosophila melanogaster.PLoS computational biology · 2021Article
- Network Analysis of Time Series: Novel Approaches to Network Neuroscience.Frontiers in neuroscience · 2021Review
- Consciousness and complexity: a consilience of evidence.Neuroscience of consciousness · 2021Review
- Integrated Information in the Spiking-Bursting Stochastic Model.Entropy (Basel, Switzerland) · 2020Article
- Whole-Brain Models to Explore Altered States of Consciousness from the Bottom Up.Brain sciences · 2020Review
- Entropy and the Brain: An Overview.Entropy (Basel, Switzerland) · 2020Review
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An outstanding problem in neuroscience is to understand how information is integrated across the many modules of the brain. While classic information-theoretic measures have transformed our understanding of feedforward information processing in the brain's sensory periphery, comparable measures for information flow in the massively recurrent networks of the rest of the brain have been lacking. To address this, recent work in information theory has produced a sound measure of network-wide "integrated information", which can be estimated from time-series data. But, a computational hurdle has stymied attempts to measure large-scale information integration in real brains. Specifically, the measurement of integrated information involves a combinatorial search for the informational "weakest link" of a network, a process whose computation time explodes super-exponentially with network size. Here, we show that spectral clustering, applied on the correlation matrix of time-series data, provides an approximate but robust solution to the search for the informational weakest link of large networks. This reduces the computation time for integrated information in large systems from longer than the lifespan of the universe to just minutes. We evaluate this solution in brain-like systems of coupled oscillators as well as in high-density electrocortigraphy data from two macaque monkeys, and show that the informational "weakest link" of the monkey cortex splits posterior sensory areas from anterior association areas. Finally, we use our solution to provide evidence in support of the long-standing hypothesis that information integration is maximized by networks with a high global efficiency, and that modular network structures promote the segregation of information.
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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.