ArticlePLoS computational biology2014
Structure-function discrepancy: inhomogeneity and delays in synchronized neural networks.
Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed.
- Anatomical-connectivity-guided functional connectivity reveals task-relevant pathways during proactive task-switching via recurrent graph neural networks.Brain informatics · 2026Article
- Comparing structure-function relationships in brain networks using EEG and fNIRS.Scientific reports · 2024Article
- Structural basis of envelope and phase intrinsic coupling modes in the cerebral cortex.NeuroImage · 2023Article
- Brain effective connectome based on fMRI and DTI data: Bayesian causal learning and assessment.PloS one · 2023Article
- A multi-scale model explains oscillatory slowing and neuronal hyperactivity in Alzheimer's disease.Journal of the Royal Society, Interface · 2023Article
- Noise-modulated multistable synapses in a Wilson-Cowan-based model of plasticity.Frontiers in computational neuroscience · 2023Article
- Predicting time-resolved electrophysiological brain networks from structural eigenmodes.Human brain mapping · 2022Article
- Experimental and Computational Study on Motor Control and Recovery After Stroke: Toward a Constructive Loop Between Experimental and Virtual Embodied Neuroscience.Frontiers in systems neuroscience · 2020Article
- The role of node dynamics in shaping emergent functional connectivity patterns in the brain.Network neuroscience (Cambridge, Mass.) · 2020Article
- Phase-lags in large scale brain synchronization: Methodological considerations and in-silico analysis.PLoS computational biology · 2018Article
- A biophysical model of dynamic balancing of excitation and inhibition in fast oscillatory large-scale networks.PLoS computational biology · 2018Article
- What Can Computational Models Contribute to Neuroimaging Data Analytics?Frontiers in systems neuroscience · 2018Article
- Firing rate equations require a spike synchrony mechanism to correctly describe fast oscillations in inhibitory networks.PLoS computational biology · 2017Article
- The anatomical scaffold underlying the functional centrality of known cortical hubs.Human brain mapping · 2017Article
- Deriving theoretical phase locking values of a coupled cortico-thalamic neural mass model using center manifold reduction.Journal of computational neuroscience · 2017Article
- Structure Shapes Dynamics and Directionality in Diverse Brain Networks: Mathematical Principles and Empirical Confirmation in Three Species.Scientific reports · 2017Article
- Modeling of Large-Scale Functional Brain Networks Based on Structural Connectivity from DTI: Comparison with EEG Derived Phase Coupling Networks and Evaluation of Alternative Methods along the Modeling Path.PLoS computational biology · 2016Article
- A Mapping Between Structural and Functional Brain Networks.Brain connectivity · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The discrepancy between structural and functional connectivity in neural systems forms the challenge in understanding general brain functioning. To pinpoint a mapping between structure and function, we investigated the effects of (in)homogeneity in coupling structure and delays on synchronization behavior in networks of oscillatory neural masses by deriving the phase dynamics of these generic networks. For homogeneous delays, the structural coupling matrix is largely preserved in the coupling between phases, resulting in clustered stationary phase distributions. Accordingly, we found only a small number of synchronized groups in the network. Distributed delays, by contrast, introduce inhomogeneity in the phase coupling so that clustered stationary phase distributions no longer exist. The effect of distributed delays mimicked that of structural inhomogeneity. Hence, we argue that phase (de-)synchronization patterns caused by inhomogeneous coupling cannot be distinguished from those caused by distributed delays, at least not by the naked eye. The here-derived analytical expression for the effective coupling between phases as a function of structural coupling constitutes a direct relationship between structural and functional connectivity. Structural connectivity constrains synchronizability that may be modified by the delay distribution. This explains why structural and functional connectivity bear much resemblance albeit not a one-to-one correspondence. We illustrate this in the context of resting-state activity, using the anatomical connectivity structure reported by Hagmann and others.
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.