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Chin. Phys. B, 2020, Vol. 29(6): 068702    DOI: 10.1088/1674-1056/ab8897
INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY Prev   Next  

Entrainment range affected by the difference in sensitivity to light-information between two groups of SCN neurons

Bao Zhu(朱宝), Jian Zhou(周建), Mengting Jia(贾梦婷), Huijie Yang(杨会杰), Changgui Gu(顾长贵)
Business School, University of Shanghai for Science and Technology, Shanghai 200093, China
Abstract  The mammals can not only entrain to the natural 24-h light-dark cycle, but also to the artificial cycle with non 24-h period through the main clock named suprachiasmatic nucleus in the brain. The range of the periods of the artificial cycles which the suprachiasmatic nucleus (SCN) can entrain, is called entrainment range reflecting the flexibility of the SCN. The SCN can be divided into two groups of neurons functionally, based on the different sensitivities to the light information. In the present study, we examined whether the entrainment range is affected by this difference in the sensitivity by a Poincaré model. We found that the relationship of the entrainment range to the difference depends on the coupling between two groups. When the coupling strength is much smaller than the light intensity, the relationship is parabolic-like, and the maximum of the entrainment range is obtained with no difference of the sensitivity. When the coupling strength is much larger than the light intensity, the relationship is monotonically changed, and the maximum of the entrainment range is obtained when the difference is the largest. Our finding may provide an explanation for the exitance of the difference in the sensitivity to light-information as well as shed light on how to increase the flexibility of the SCN represented by widening the entrainment range.
Keywords:  SCN network      circadian rhythm      coupling strength      sensitivity to light-information      entrainment range  
Received:  03 March 2020      Revised:  28 March 2020      Accepted manuscript online: 
PACS:  87.18.Yt (Circadian rhythms)  
  05.45.Xt (Synchronization; coupled oscillators)  
  87.18.Sn (Neural networks and synaptic communication)  
Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 11875042 and 11505114), the Innovation Foundation of Shanghai Aerospace Science and Technology, China (Grant No. SAST2018-22), and the Course of Scientific Research Project of Shanghai University for Science and Technology (Grant No. 13002100).
Corresponding Authors:  Changgui Gu     E-mail:  gu_changgui@163.com

Cite this article: 

Bao Zhu(朱宝), Jian Zhou(周建), Mengting Jia(贾梦婷), Huijie Yang(杨会杰), Changgui Gu(顾长贵) Entrainment range affected by the difference in sensitivity to light-information between two groups of SCN neurons 2020 Chin. Phys. B 29 068702

[1] Pittendrigh C S and Daan S 1976 J. Comp. Physiol. A 106 223
[2] Pittendrigh C S 1993 Ann. Rev. Physiol. 55 16
[3] Meijer J H, Rusak B and Harrington M E 1989 Brain Res. 501 315
[4] Jiao Y Y, Lee T M and Rusak B 1999 Brain Res. 817 93
[5] Refinetti R 2006 Circadian Physiology, 2nd edn. (Boca Raton: CRC Press) pp. 270-272
[6] Abraham U, Granada A E, Westermark P O, et al. 2010 Mol. Syst. Biol. 6 438
[7] Usui S, Takahashi Y and Okazaki T 2000 Am. J. Physiol. Regul. Integr. Comp. Physiol. 278 R1148
[8] Iglesia H O D L, et al. 2004 Curr. Biol. 14 796
[9] Meijer J H and Schwartz W J 2003 J. Biol. Rhythms 18 235
[10] Gu C, Liu Z, Schwartz W J and Indic P 2012 PLoS ONE 7 e36900
[11] Gu C, Yang H and Rohling J H T 2017 Phys. Rev. E 95 032302
[12] Schwartz M D, Wotus C, Liu T, Friesen W O and Borjigin J 2009 Proc. Natl. Acad. Sci. USA 106 17540
[13] Lee H S, Nelms J L, Nguyen M, Silver R and Lehman M N 2003 Nat. Neurosci. 6 111
[14] Rohling J H, vanderLeest H T, Michel S, Vansteensel M J and Meijer J H 2011 PLoS ONE 6 e25437
[15] Aton S J, Colwell C S, Harmar A J, Waschek J and Herzog E D 2005 Nat. Neurosci. 8 476
[16] Morin L P 2007 J. Biol. Rhythms 22 3
[17] Albus H, Vansteensel M J, Michel S, Block G D and Meijer J H 2005 Curr. Biol. 15 886
[18] VanderLeest H T, Rohling J H T and and Meijer J H 2009 PLoS ONE 4 e4976
[19] Fernandez D C, et al. 2016 Proc. Natl. Acad. Sci. USA 113 6047
[20] Myung J and Pauls S D 2018 Eur. J. Neurosci. 48 2718
[21] Balanov A, Janson N, Postnov D and Sosnovtseva O 2009 Synchronization: From Simple to Complex (New York: Springer-Verlag)
[22] Gu C and Yang H 2017 Chaos 27 093108
[23] Gu C and Yang H 2017 Chaos 27 063115
[24] Gu C, Ramkisoensing A, Liu Z, Meijer J H and Rohling J H T 2014 J. Biol. Rhythms 29 16
[25] Gu C, Tang M, Yang H and Rohling J H T 2016 Sci. Rep. 6 37661
[26] Bodenstein C, Gosak M, Schuster S, Marhl M and Perc M 2012 PLoS Comput. Biol. 8 e1002697
[27] Granada A E, Bordyugov G, Kramer A and Herzel H 2013 PLoS ONE 8 e59464
[28] Schmal C, Myung J, Herzel H and Bordyugov G 2015 Front. Neurol. 6 94
[29] Tokuda I T, Ono D, Ananthasubramaniam B, Honma S, Honma K I and Herzel H 2015 Biophys. J. 109 2159
[30] Gu C, Yang H and Ruan Z 2017 Phys. Rev. E 95 042409
[31] Gu C, Yang H and Wang M 2017 Phys. Rev. E 96 052207
[32] Gu C, Xu J, Liu Z and Rohling J H T 2013 Phys. Rev. E 88 022702
[33] Aton S J and Herzog E D 2005 Neuron 48 531
[34] Gonze D, Bernard S, Waltermann C, Kramer A and Herzel H 2005 Biophys. J. 89 120
[35] Ko C H, Yamada Y R, Welsh D K, et al. 2010 PLoS Biol. 8 e1000513
[36] Gu C, Xu J, Rohling J H T, et al. 2015 PLoS ONE 10 e0145360-
[37] Šimonka V, Fras M and Gosak M 2015 Physica A 424 1
[38] Westermark P O, Welsh D K, Okamura H and and Herzel H 2009 PLoS Comput. Biol. 5 e1000580
[39] Gu C, Gu X, Wang P and Ren H 2019 J. Biol. Rhythms 34 515
[40] Gu C and Yang H 2016 Chaos 26 053112
[41] Abel J H, Meeker K, Granados-Fuentes D, et al. 2016 Proc. Natl. Acad. Sci. USA 113 4512
[42] Zhang H, Zhou J, Zhou Y, et al. 2020 Phys. Rev. E 101 022314
[43] Ding W, Gu C and Liang X 2016 Commun. Theor. Phys. 65 189
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