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Emergence of synchronization in Kuramoto model with frustration under general network topology

  • Received: 01 August 2021 Revised: 01 December 2021 Published: 22 February 2022
  • Primary: 34D06, 34C15; Secondary: 92B25, 70F99

  • In this paper, we will study the emergent behavior of Kuramoto model with frustration on a general digraph containing a spanning tree. We provide a sufficient condition for the emergence of asymptotical synchronization if the initial data are confined in half circle. As lack of uniform coercivity in general digraph, we apply the node decomposition criteria in [25] to capture a clear hierarchical structure, which successfully yields the dissipation mechanism of phase diameter and an invariant set confined in quarter circle after some finite time. Then the dissipation of frequency diameter will be clear, which eventually leads to the synchronization.

    Citation: Tingting Zhu. Emergence of synchronization in Kuramoto model with frustration under general network topology[J]. Networks and Heterogeneous Media, 2022, 17(2): 255-291. doi: 10.3934/nhm.2022005

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  • In this paper, we will study the emergent behavior of Kuramoto model with frustration on a general digraph containing a spanning tree. We provide a sufficient condition for the emergence of asymptotical synchronization if the initial data are confined in half circle. As lack of uniform coercivity in general digraph, we apply the node decomposition criteria in [25] to capture a clear hierarchical structure, which successfully yields the dissipation mechanism of phase diameter and an invariant set confined in quarter circle after some finite time. Then the dissipation of frequency diameter will be clear, which eventually leads to the synchronization.



    Febrile seizures (FS) are commonly manifested in children below 5 years of age [1]. They are defined as seizures occurring in children aged 6 to 60 months, with high-grade fever (>38 °C) and without central nervous system infection or metabolic disorders [2]. An estimated 2% to 5% of children in the USA and Western Europe suffer FS annually [3], compared to 8% to10% in Asia [4],[5]. The exact pathogenesis of FS remains poorly understood; however, genetic predisposition, changes in neurotransmitter levels, and serum electrolyte imbalance are some of the known risk factors [6][8].

    Magnesium (Mg) is an abundant intracellular cation in the body. It is predominantly present in muscles, soft tissues, bones, and erythrocytes. Its major functions are to establish and maintain electrical potentials across cell membranes through the Na/K ATPases system, and inhibit voltage-gated calcium channels in the body. So, hypomagnesemia could trigger the release of calcium ions, which in turn induces nerve and muscle excitability [9]. In the brain, glutamate is the primary excitatory neurotransmitter, acting as an agonist of the N-Methyl-D-aspartate receptors (NMDA), while extracellular magnesium is known to inhibit these receptors. Therefore, hypomagnesemia can facilitate the excitation of NMDA receptors, allowing glutamate to depolarize the postsynaptic membrane and enhance epileptiform electrical activity [10].

    According to a previous study, low serum magnesium level is associated with FS [11]. One study demonstrated that magnesium concentration in the cerebrospinal fluids (CSF) of epileptic children is significantly increased, potentially influenced by functional abnormalities in the cell membranes that may occur during epilepsy [12]. Although FS often have good prognoses, their occurrence is a worrisome predicament for parents of the affected children as about 2–8% eventually develop epilepsy in the future [13],[14]. A recent meta-analysis [15] summarized hypomagnesemia in children with FS, however, subsequent studies are still inconsistent [16]. In this study, we compared the levels of serum magnesium between children with febrile seizures and those who were febrile but had no seizures, to ascertain the hypothesized association between serum magnesium and febrile seizures.

    This case-control study was retrospectively conducted at the Department of Pediatrics, Zhongnan Hospital of Wuhan University, China, from February 2019 to January 2021. The study protocol was approved by the Zhongnan Hospital of Wuhan University Research Ethics Committee, and informed consent was sought from parents of all eligible children. Data from 115 cases (children with febrile seizures) and 115 age, and gender-matched controls (children with fever but no seizures) were retrieved from the hospital's electronic medical records and analyzed. Children included in the study were only those between the ages of 6 and 60 months, had FS, and had normal development. Similarly, age- and sex-matched control children with fever but no episodes of seizures were recruited. While, children with a history of congenital anomalies, infection of the central nervous system (CNS), metabolic disorder, and history of magnesium supplement receipt were excluded.

    Extracted data included basic patient information, i.e., age of onset, sex, temperature, birth weight, gestational age, history of FS, family history of seizures, and serum magnesium levels. Laboratory results consisted of serum magnesium levels measured within 12 hours after the seizure. Abnormal results were considered to be those outside the reference range as set by our hospital laboratory; 0.85–1.15 mmol/L [17].

    Statistical Package for the Social Sciences (SPSS) program version 22 was used for data analysis. Continuous variables were presented as mean ± SD and categorical variables as frequency & percentages. Independent student's t-tests were used to compare the means of continuous variables, while Pearson's Chi-square test was conducted for categorical variables. The correlation between hypomagnesemia and FS was determined by Pearson's correlation coefficient (r). Two-sided p-values of <0.05 was considered statistically significant.

    In total, 230 age and sex-matched cases and controls were recruited, with mean age, 30.17 ± 14.5 vs 33.72 ± 13.31 months, p > 0.05 respectively. Mean birth weight was 3.23 ± 0.5136 vs 3.24 ± 0.513 kg, p > 0.05 for cases and controls respectively. Among the cases with preterm birth, 7.8% were premature, compared to only 1.7% of controls, p < 0.05). The mean temperature among the cases and the control group was 39.46 ± 0.66 vs 39.08 ± 0.57 °C, p > 0.05 respectively. In children with FS, fever was due to the respiratory and urinary tract infections in 99,1% and 0,9% of cases, respectively. All controls had a respiratory tract infection. Cases were more likely to present with a history of FS than controls, (36.5% vs 3.5%). Similarly, a family history of FS was more common in cases than controls, (33.9% vs. 0%). In terms of the type of FS, simple FS accounted for 94.7% of all febrile seizures, followed by complex febrile seizures at 5.3%. A detailed description is shown in Tables 1&2.

    Independent student's t-test for the standard mean difference of serum magnesium revealed that the mean serum magnesium level was significantly lower in the cases than the controls; 0.93 ± 0.129 vs 0.97 ± 0.0961 mmol / L; p < 0.01. Based on the laboratory interpretation of hypomagnesemia, (<0.85 mmol/L), 26.1% vs 8.7% of the cases and controls had hypomagnesemia respectively. Finally, Pearson's correlation analysis found that serum magnesium level was negatively correlated with FS (r = [−0.169], p < 0.05), suggesting that hypomagnesemia could have promoted the febrile seizures in these children. The detailed description is shown in Tables 3&4.

    Table 1.  Comparison of risk factors between 115 cases and 115 controls.
    Parameters Cases (n=115) Controls (n=115) P-value
    Age (months) 30.17 ± 14.5 33.72 ± 13.31 1.719
    Gender Male 75 (65.2%) 75 (65.2%) 0.555
    Female 40 (34.8%) 40 (34.8%)
    BW (kg) 3.23 ± 0.5136 3.24 ± 0.513 0.844
    Gestational age Preterm 9 (7.8%) 2 (1.7%)
    Term 106 (92.2%) 113 (98.3%) 0.03
    Temperature (°C) 39.46 ± 0.66 39.08 ± 0.57 0.101
    Cause of fever Respiratory tract infection 114 (99.1%) 115 (100%)
    Urinary tract infection 1 (0.9%) 0 (0.0%) 0.500
    History of FS Yes 42 (36.5%) 4 (3.5%)
    No 73 (63.5%) 111 (96.5%) 0.000
    Family history of FS Yes 39 (33.9%) 115 (100%)
    No 76 (66.1%) 0 (0.0%) 0.00

     | Show Table
    DownLoad: CSV
    Table 2.  Type of febrile seizures.
    Type of FS Frequency Percentage
    Simple 109 94.7
    Complex 6 5.3
    Total 115 100

     | Show Table
    DownLoad: CSV
    Table 3.  Comparison of serum magnesium levels between cases and controls.
    Serum levels Cases (n=115) Mean ± SD Controls (n=115) Mean ± SD P-value
    Magnesium 0.93± 0.129 0.97 ± 0.0961 0.007

     | Show Table
    DownLoad: CSV
    Table 4.  Distribution of Hypomagnesemia in cases and controls.
    Parameter Cases freq. (%) Controls freq. (%) P-Value
    Magnesium Hypomagnesaemia 30 (26.1%) 10 (8.7%) 0.000
    Normal 85(73.9%) 105 (91.3%)
    Total 115 (100%) 115 (100%)

    Fishers exact test is applied; p value is significant, if <0.05.

     | Show Table
    DownLoad: CSV

    This study examined the relationship between serum magnesium and the occurrence of seizures in febrile children. By demographics, the cases and controls were comparable; the mean age was 30.17 ± 14.5 vs 33.72 ± 13.31 months in cases and controls respectively. However, this was higher than that observed by Namakin K et al, where the mean age of the children with FS was 24.1 ± 13.4 months [17]. Furthermore, in this study, approximately 65.2% of the cases were male and 34.8% were female, agreeing with Naseer et.al who also found 62% of febrile children with seizures were males versus 39% of females, indicating a male predisposition to FS [19].

    In our study, the mean birth weights of cases and controls were comparable; (3.23 ± 0.51 vs 3.24 ± 0.51) kg, while the case group had more children with low gestational age than control group children (7.8% vs 1.7%). This result is consistent with that of another group [20]. We also found that the mean temperature at which FS occurred was 39.46 ± 0.66 degrees Celsius, consistent with report by Baaker et al. who found a mean temperature of 39.4 °C [21]. It has been documented that viral infections and temperatures above 39°C are associated with convulsive behavior in individuals [22]. The majority of our cases (99.1%) were due to respiratory tract infections, with cases having significant individual and family histories of febrile seizures than controls, 36.5% vs 3.5%, and 33.9% vs 0% respectively. This is also consistent with results from other published studies [23],[24]. By type of seizures, the vast majority of cases had simple FS (94.7%), compared to just 5.3% with complex FS, a result in agreement with Thakur et al., who found 78.8% of their cases had simple febrile seizures compared to 21.3% with complex FS.

    The mean serum magnesium levels in our study were significantly lower in children with FSthan in febrile children without seizures and were negatively correlated with the occurrence of FS. Similar results were observed by Bharathi et al. [25] and Debroy et al. [26], while Baek et al. demonstrated that hypomagnesemia was an independent risk factor for FS (11). Talebian et al. simultaneously examined serum levels of magnesium and zinc in 60 children with FS, aged between 3 and 72 months, and found both grossly deficient. In this study magnesium and zinc supplements were recommended [27]. Similarly, Kannachamkandy et al simultaneously examined serum magnesium and copper in 35 children with febrile epilepsy and controls and discovered that while magnesium was significantly deficient, copper was rather higher in cases than in controls and that both levels were significantly associated with febrile seizures [28]. These studies suggest that there could be an association between magnesium and other trace elements in the serum of children with FS that need to be investigated. The muscle hyperexcitability seen in magnesium-deficient FS is possible because magnesium is required by enzymes that maintain cell membrane stability and nerve conduction, and so hypomagnesemia would lead to nerve and muscle excitability. Moreover, magnesium blocks the calcium channel in the NMDA receptor; consequently, it must be released for glutamatergic excitatory signaling to occur. Theoretically, low magnesium levels may enhance glutamatergic neurotransmission [29].

    Despite the possible association between hypomagnesemia and febrile seizures observed in this study, the small sample size still limits the generalizability of the results. Future studies with large sample sizes are required to confirm these results.

    In summary, this study revealed that serum magnesium was significantly low in febrile children with seizures compared to those without. Hypomagnesemia was also significantly associated with the occurrence of FS was more likely to occur in children with individual and family histories of FS. These results indicate that hypomagnesemia could be a risk factor for a febrile seizure. It is thus important that future large cohort studies look into this association to ensure that guidelines are set for the proper management of these children.



    [1] A shocking display of synchrony. Phys. D (2000) 143: 21-55.
    [2] Biology of synchronous flashing of fireflies. Nature (1996) 211: 562-564.
    [3] Asymptotic formation and orbital stability of phase-locked states for the Kuramoto model. Phys. D (2012) 241: 735-754.
    [4] Synchronization of nonuniform Kuramoto oscillators for power grids with general connectivity and dampings. Nonlinearity (2019) 32: 559-583.
    [5] On exponential synchronization of Kuramoto oscillators. IEEE Trans. Automat. Control (2009) 54: 353-357.
    [6] Quasientrainment and slow relaxation in a population of oscillators with random and frustrated interactions. Phys. Rev. Lett. (1992) 68: 1073-1076.
    [7] Large-scale dynamics of the persistent turning walker model of fish behavior. J. Stat. Phys. (2008) 131: 989-1021.
    [8] Interplay of time-delay and velocity alignment in the Cucker-Smale model on a general digraph. Discrete Contin. Dyn. Syst.-Ser. B (2019) 24: 5569-5596.
    [9] Emergent Behavior of the Kuramoto model with a time-delay on a general digraph. SIAM J. Appl. Dyn. Syst. (2020) 19: 304-328.
    [10] Synchronization analysis of Kuramoto oscillators. Commun. Math. Sci. (2013) 11: 465-480.
    [11] On the critical coupling for Kuramoto oscillators. SIAM J. Appl. Dyn. Syst. (2011) 10: 1070-1099.
    [12] Synchronization and transient stability in power networks and nonuniform Kuramoto oscillators. SIAM J. Control Optim. (2012) 50: 1616-1642.
    [13] Synchronization in complex oscillator networks and smart grids. Proc. Natl. Acad. Sci. (2013) 110: 2005-2010.
    [14] On the complete synchronization of the Kuramoto phase model. Phys. D (2010) 239: 1692-1700.
    [15]

    S.-Y. Ha, D. Kim, J. Kim and X. Zhang, Asymptotic behavior of discrete Kuramoto model and uniform-in-time transition from discrete to continuous dynamics, J. Math. Phys., 60 (2019), 051508, 21 pp.

    [16]

    S.-Y. Ha, D. Kim, J. Lee and S. E. Noh, Synchronization conditions of a mixed Kuramoto ensemble in attractive and repulsive couplings, J. Nonlinear Sci., 31 (2021), Paper No. 39, 34 pp.

    [17] Remarks on the complete synchronization of Kuramoto oscillators. Nonlinearity (2015) 28: 1441-1462.
    [18] Remarks on the complete synchronization for the Kuramoto model with frustrations. Anal. Appl. (2018) 16: 525-563.
    [19] Emergence of phase-locked states for the Kuramoto model in a large coupling regime. Commun. Math. Sci. (2016) 14: 1073-1091.
    [20] Asymptotic synchronous behavior of Kuramoto type models with frustrations. Netw. Heterog. Media (2014) 9: 33-64.
    [21] Large-time dynamics of Kuramoto oscillators under the effects of inertia and frustration. SIAM J. Appl. Dyn. Syst. (2014) 13: 466-492.
    [22] Emergence of phase-locking in the Kuramoto model for identical oscillators with frustration. SIAM J. Appl. Dyn. Syst. (2018) 17: 581-625.
    [23] Complete synchronization of Kuramoto oscillators with hierarchical leadership. Commun. Math. Sci. (2014) 12: 485-508.
    [24] Formation of phase-locked states in a population of locally interacting Kuramoto oscillators. J. Differ. Equ. (2013) 255: 3053-3070.
    [25] On the critical exponent of the one-dimensional Cucker Smale model on a general graph. Math. Models Meth. Appl. Sci. (2020) 30: 1653-1703.
    [26] Asymptotic phase-Locking dynamics and critical coupling strength for the Kuramoto model. Commun. Math. Phys. (2020) 377: 811-857.
    [27]

    Y. Kuramoto, Self-entrainment of a population of coupled non-linear oscillators, In International Symposium on Mathematical Problems in Theoretical Physics, (ed. H. Araki), Springer Berlin Heidelberg, (1975), 420–411.

    [28]

    Y. Kuramoto, Chemical Oscillations, Waves and Turbulence, Springer-Verlag, Berlin, 1984.

    [29] Collective motion, sensor networks, and ocean sampling. Proc. IEEE (2007) 95: 48-74.
    [30] Emergent multistability and frustration in phase-repulsive networks of oscillators. Phys. Rev. E (2011) 84: 016231.
    [31] Uniqueness and well-ordering of emergent phase-locked states for the Kuramoto model with frustration and inertia. Math. Models Methods Appl. Sci. (2016) 26: 357-382.
    [32] The spectrum of the partially locked state for the Kuramoto model. J. Nonlinear Sci. (2007) 17: 309-347.
    [33] Modular synchronization in complex networks with a gauge Kuramoto model. EPL (2008) 83: 68003.
    [34] Oscillator models and collective motion: Spatial patterns in the dynamics of engineered and biological networks. IEEE Control Sys. (2007) 27: 89-105.
    [35] Glass synchronization in the network of oscillators with random phase shift. Phys. Rev. E (1998) 57: 5030-5035.
    [36] Extension of the Cucker-Smale control law to space flight formations. J. Guid. Control Dynam. (2009) 32: 527-537.
    [37] (2001) Synchronization: A Universal Concept in Nonlinear Sciences.Cambridge University Press.
    [38] A soluble active rotator model showing phase transitions via mutual entrainment. Prog. Theor. Phys. (1986) 76: 576-581.
    [39] From Kuramoto to Crawford: Exploring the onset of synchronization in populations of coupled oscillators. Phys. D (2000) 143: 1-20.
    [40] Coupled oscillators and biological synchronization. Sci. Amer. (1993) 269: 101-109.
    [41] Dynamics in co-evolving networks of active elements. Forma (2009) 24: 17-22.
    [42] Flocks, herds, and schools: A quantitative theory of flocking. Phys. Rev. E (1998) 58: 4828-4858.
    [43] Biological rhythms and behavior of populations of coupled oscillators. J. Theor. Biol. (1967) 16: 15-42.
    [44] Frustration effect on synchronization and chaos in coupled oscillators. Chin. Phys. Soc. (2011) 10: 703-707.
    [45]

    X. Zhang and T. Zhu, Emergence of synchronization in Kuramoto model with general digraph, preprint, arXiv: 2107.06487.

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