| SPECIAL TOPIC — Biophysical circuits: Modeling & applications in neuroscience |
Prev
Next
|
|
|
Targeted optogenetic stimulation of the thalamic reticular nucleus: A novel strategy for modulating epileptiform discharges |
| Zhi-Hui Wang(王智慧), Jia-Hui Yang(杨佳慧), and Li-Xia Duan(段利霞)† |
| College of Science, North China University of Technology, Beijing 100144, China |
|
|
|
|
Abstract The distinct advantage of optogenetic stimulation in precise neuromodulation enables us to dissect the intrinsic mechanisms by which such stimulation of the thalamic reticular nucleus (RE) suppresses epileptic seizures. Since irradiance ($I_{\rm rr}$) is a key factor affecting optogenetic stimulation, we first explore the effect of $I_{\rm rr}$ on epileptic seizures. The results indicate that increasing $I_{\rm rr}$ can suppress the seizures and alter the system's bifurcation structure. The numbers of Hopf bifurcations and saddle-node bifurcations of limit cycles decrease as $I_{\rm rr}$ increases, and the saddle-node bifurcation of the fixed point is a key factor driving the abrupt transition of the system from a high-saturation discharge state to a low-saturation discharge state. Subsequently, we apply optogenetic stimulation in square-wave and Gaussian pulse forms to assess the impacts of three core parameters (pulse width $w_{\rm s}$, pulse frequency $f$, and $I_{\rm rr}$) on epileptic discharge states. Our numerical simulation results reveal that square-wave pulsed optogenetic stimulation effectively suppresses seizure activity when the pulse width is increased to $15$ ms ($f=40$ Hz, $I_{\rm rr}=0.3$ mW/mm$^2$), the pulse frequency to $100$ Hz ($w_{\rm s}=5$ ms, $I_{\rm rr}=0.3$ mW/mm$^2$), and the irradiance to $0.8 $ mW/mm$^2$ ($w_{\rm s}=5$ ms, $f=40$ Hz), respectively. In contrast, using the same analytical method, we find that Gaussian pulsed stimulation requires elevating the respective parameters (pulse width, frequency, irradiance) to $30$ ms, $250 $ Hz, and $1.9 $ mW/mm$^2$ for the effective suppression of seizure activity. Therefore, square-wave pulses require a smaller parameter threshold to achieve the effect of inhibiting epileptic seizures. From a physiological perspective, square-wave pulsed optogenetic stimulation is thus more suitable as a potential candidate for clinical trials.
|
Received: 09 January 2026
Revised: 07 March 2026
Accepted manuscript online: 13 March 2026
|
|
PACS:
|
87.10.Ed
|
(Ordinary differential equations (ODE), partial differential equations (PDE), integrodifferential models)
|
| |
87.19.lj
|
(Neuronal network dynamics)
|
| |
87.19.ll
|
(Models of single neurons and networks)
|
| |
87.19.xm
|
(Epilepsy)
|
|
| Fund: This work is supported by the National Natural Science Foundation of China (Grant No. 12272002). |
Corresponding Authors:
Li-Xia Duan
E-mail: duanlx@ncut.edu.cn
|
Cite this article:
Zhi-Hui Wang(王智慧), Jia-Hui Yang(杨佳慧), and Li-Xia Duan(段利霞) Targeted optogenetic stimulation of the thalamic reticular nucleus: A novel strategy for modulating epileptiform discharges 2026 Chin. Phys. B 35 068701
|
[1] Fisher R S, van Emde Boas W, Blume W, Elger C, Genton P, Lee P and Engel J 2005 Epilepsia 46 470 [2] Yuan Z, Du M, Yu Y and Wu Y 2023 Chin. Phys. B 32 020502 [3] Yan L, Zhang H and Sun Z 2024 Chin. Phys. B 33 058703 [4] Ghosh S, Sinha J K, Ghosh S, Sharma H, Bhaskar R and Narayanan K B 2023 Brain Sci. 13 1305 [5] Engel J J, Wiebe S, French J, Sperling M, Williamson P, Spencer D, Gumnit R, Zahn C, Westbrook E and Enos B 2003 Neurology 60 538 [6] Luscher C, Emiliani V, Farahany N, Gittis A, Gradinaru V, High K A, Roska B, Sahel J A, Yizhar O and Zeng H 2025 Nat. Neurosci. 28 2415 [7] Yizhar O, Fenno L E, Davidson T J, Mogri M and Deisseroth K 2011 Neuron 71 9 [8] Nagel G, Szellas T, Huhn W, Kateriya S, Adeishvili N, Berthold P, Ollig D, Hegemann P and Bamberg E 2003 Proc. Natl. Acad. Sci. USA 100 13940 [9] Boyden E S, Zhang F, Bamberg E, Nagel G and Deisseroth K 2005 Nat. Neurosci. 8 1263 [10] Sohal V S and Huguenard J R 2003 J. Neurosci. 23 8978 [11] Deisseroth K 2015 Nat. Neurosci. 18 1213 [12] Krook-Magnuson E, Armstrong C, Oijala M and Soltesz I 2013 Nat. Commun. 4 1376 [13] Krook-Magnuson E, Szabo G G, Armstrong C, Oijala M and Soltesz I 2014 eNeuro 1 5 [14] Erofeev A, Gerasimov E, Lavrova A, Bolshakova A, Postnikov E, Bezprozvanny I and Vlasova O L 2019 Appl. Sci. 9 3673 [15] Hristova K, Martinez-Gonzalez C, Watson T C, Codadu N K, Hashemi K, Kind P C, Nolan M F and Gonzalez-Sulser A 2021 Brain 144 1576 [16] Che Y 2017 Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering (NER), May 25–28, 2017, Shanghai, China pp. 469–472 [17] Zhang H, Shen Z, Zhao Y, Du L and Deng Z 2022 Int. J. Mol. Sci. 23 13652 [18] Zhao J, Yu Y, Han F and Wang Q 2023 Chaos 33 083128 [19] Andrasfalvy B K, Zemelman B V, Tang J and Vaziri A 2010 Proc. Natl. Acad. Sci. USA 107 11981 [20] Hyder S K, Lazarini-Lopes W, Tobi J, Williams G, Sukharev A and Forcelli P A 2025 Proc. Natl. Acad. Sci. USA 122 e2419178122 [21] Pinault D 2004 Brain Res. Rev. 46 1 [22] Zhang H, Zhang H, Liu S and Du L 2025 Chin. Phys. B 34 120701 [23] Kim U, Sanchez-Vives M V and McCormick D A 1997 Science 278 130 [24] Nanobashvili Z I, Surmava A G, Bilanishvili I G, Barbaqadze M G, Mariamidze M D and Khizanishvili N A 2012 J. Behav. Brain Sci. 2 436 [25] Halassa M M, Siegle J H, Ritt J T, Ting J T, Feng G and Moore C I 2011 Nat. Neurosci. 14 1118 [26] Paz J T, Davidson T J, Frechette E S, Delord B, Parada I, Peng K, Deisseroth K and Huguenard J R 2013 Nat. Neurosci. 16 64 [27] Chang W J, Chang W P and Shyu B C 2017 Mol. Brain 10 42 [28] Wicker E and Forcelli P A 2021 Epilepsia 62 2283 [29] Wilson H R and Cowan J D 1972 Biophys. J. 12 1 [30] Wilson H R and Cowan J D 1973 Kybernetik 13 55 [31] Brunel N 2000 J. Comput. Neurosci. 8 183 [32] Nikolic K, Grossman N, Grubb M S, Burrone J, Toumazou C and Degenaar P 2009 Photochem. Photobiol. 85 400 [33] Stefanescu R A, Shivakeshavan R, Khargonekar P P and Talathi S S 2013 Bull. Math. Biol. 75 2208 [34] Selvaraj P, Sleigh J W, Kirsch H E and Szeri A J 2016 Phys. Rev. E 93 012416 [35] Williams J C, Xu J, Lu Z, Klimas A, Chen X, Ambrosi C M, Cohen I S and Entcheva E 2013 PLoS Comput. Biol. 9 e1003220 [36] Bansal H, Pyari G and Roy S 2023 Photonics 10 501 [37] Gradinaru V, Thompson K, Zhang F, Mogri M, Kay K, Schneider M B and Deisseroth K 2007 J. Neurosci. 27 14231 [38] Xu Z, Wang Y, Chen B, Xu C, Wu X, Wang Y, Zhang S, Hu W, Wang S, Guo Y, et al. 2016 EBioMedicine 14 148 [39] Shiri Z, Manseau F, Levesque M, Williams S and Avoli M 2016 Ann. Neurol. 79 354 [40] Ladas T P, Chiang C C, Gonzalez-Reyes L E, Nowak T and Durand D M 2015 Exp. Neurol. 269 120 [41] Pinault D and Deschenes M 1992 Neuroscience 51 259 [42] Sohal V S, Zhang F, Yizhar O and Deisseroth K 2009 Nature 459 698 [43] Wang L, Xu W, Wang K, Yang J, Li H, Wang Q, Dong Z, Zhang X, Meng Q, Lu F, et al. 2025 Nat. Commun. 16 9228 [44] Cotic M, Chinvarun Y, Guirgis M, Carlen P L and Bardakjian B L 2014 Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, August 26–30, 2014, Chicago, IL, USA pp. 4455–4458 [45] Gradinaru V, Mogri M, Thompson K R, Henderson J M and Deisseroth K 2009 Science 324 354 |
| No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|