ArticlePLoS computational biology2018
Phase-lags in large scale brain synchronization: Methodological considerations and in-silico analysis.
Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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35 citing papers in PubMed.
- Sub-second fluctuations between top-down and bottom-up modes distinguish diverse human brain states.Current biology : CB · 2026Article
- Hierarchical whole-brain modeling of critical synchronization dynamics in the human brain.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Spatiotemporal brain complexity quantifies consciousness outside of perturbation paradigms.eLife · 2025Article
- Altered fronto-parietal alpha synchronization and coherence in paranormal believers.Neuroimage. Reports · 2025Article
- Phase-Dependent Response to Electrical Stimulation of Cortical Networks during Recurrent Epileptiform Short Discharge Generation In Vitro.International journal of molecular sciences · 2024Article
- Human connectome topology directs cortical traveling waves and shapes frequency gradients.Nature communications · 2024Article
- Rhythmicity of neuronal oscillations delineates their cortical and spectral architecture.Communications biology · 2024Article
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- White-matter degradation and dynamical compensation support age-related functional alterations in human brain.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Noise-modulated multistable synapses in a Wilson-Cowan-based model of plasticity.Frontiers in computational neuroscience · 2023Article
- Whole-Brain Propagation Delays in Multiple Sclerosis, a Combined Tractography-Magnetoencephalography Study.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Normalizing the brain connectome for communication through synchronization.Network neuroscience (Cambridge, Mass.) · 2022Article
- Modelling the perception of music in brain network dynamics.Frontiers in network physiology · 2022Article
- Pattern of frustration formation in the functional brain network.Network neuroscience (Cambridge, Mass.) · 2022Article
- Wheels Within Wheels: Theory and Practice of Epileptic Networks.Epilepsy currents · 2021Article
- Transmission delays and frequency detuning can regulate information flow between brain regions.PLoS computational biology · 2021Article
- Enhancing GABAergic signaling ameliorates aberrant gamma oscillations of olfactory bulb in AD mouse models.Molecular neurodegeneration · 2021Article
- Neural Synchronization, Chimera States and Sleep Asymmetry.Frontiers in network physiology · 2021Article
- Emergence of Neuronal Synchronisation in Coupled Areas.Frontiers in computational neuroscience · 2021Article
- Frequency-Resolved Functional Connectivity: Role of Delay and the Strength of Connections.Frontiers in neural circuits · 2021Article
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3 authors.
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Abstract
Architecture of phase relationships among neural oscillations is central for their functional significance but has remained theoretically poorly understood. We use phenomenological model of delay-coupled oscillators with increasing degree of topological complexity to identify underlying principles by which the spatio-temporal structure of the brain governs the phase lags between oscillatory activity at distant regions. Phase relations and their regions of stability are derived and numerically confirmed for two oscillators and for networks with randomly distributed or clustered bimodal delays, as a first approximation for the brain structural connectivity. Besides in-phase, clustered delays can induce anti-phase synchronization for certain frequencies, while the sign of the lags is determined by the natural frequencies and by the inhomogeneous network interactions. For in-phase synchronization faster oscillators always phase lead, while stronger connected nodes lag behind the weaker during frequency depression, which consistently arises for in-silico results. If nodes are in anti-phase regime, then a distance π is added to the in-phase trends. The statistics of the phases is calculated from the phase locking values (PLV), as in many empirical studies, and we scrutinize the method's impact. The choice of surrogates do not affects the mean of the observed phase lags, but higher significance levels that are generated by some surrogates, cause decreased variance and might fail to detect the generally weaker coherence of the interhemispheric links. These links are also affected by the non-stationary and intermittent synchronization, which causes multimodal phase lags that can be misleading if averaged. Taken together, the results describe quantitatively the impact of the spatio-temporal connectivity of the brain to the synchronization patterns between brain regions, and to uncover mechanisms through which the spatio-temporal structure of the brain renders phases to be distributed around 0 and π.
trial registrationSouth African Clinical Trials Register: http://www.sanctr.gov.za/SAClinicalbrnbspTrials/tabid/169/Default.aspx, then link to respiratory tract then link to tuberculosis, pulmonary; and TASK Applied Sciences Clinical Trials, AP-TB-201-16 (ALOPEXX): https://task.org.za/clinical-trials/.
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