Replacing IR Wavelength Instead of Visible Wavelength on the BG Network Model to Improve the Effects of Optogenetic Stimulation in Parkinson’s Disease
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Abstract
Purpose: In optogenetics, visible light is usually used, which limits the penetration depth into the tissue, and placing optical fibers to deliver light to deep areas of the brain is necessary. In this paper, to overcome limitations, the use of Near-Infrared light (NRI) and temperature-sensitive opsins has been proposed as a powerful, non-invasive, or minimally invasive tool due to greater penetration depth, with the least damage and most effectiveness in brain tissue.
Materials and Methods: Effects of optogenetic stimulation with visible light and NIR on the model of Parkinson's Disease (PD) Basal Ganglia-Thalamic (BG-Th) network to reduce or eliminate pathological effects of Parkinson's disease has been studied. Three and four-state optogenetic Halordopsin (NpHR) and Channelrhodopsin-2 (ChR2) opsins at visible wavelengths and four-state optogenetic with Transient Receptor Potential Vanilloid 1 (TRPV1) and Transient Receptor Potential Ankyrin 1 (TRPA1) opsins at NIR wavelengths for different frequencies and number of stimulation pulses and light intensity on Error Index (EI) and beta band activity in the BG-TH to introduce optimal values for basic parameters of f, ns, and Alight have been considered. Finally, we obtained Alight effects on the beta band activity for different optogenetic stimulations and opsins (NpHR, ChR2, TRPV1, and TRPA1).
Results: Four-state optogenetic stimulation TRPA1 at 808 nm is optimal with the best results, lowest EI, and beta band activity. By increasing Alight, beta band activity for all used opsins has decreased, which is sharp for NpHR, and TRPA1 with 808 nm, with low intensity, has caused less beta band activity.
Conclusion: The Near-Infrared light with the best results and the lowest beta band activity (Beta activity=0.2) is more effective.
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19- Elham Amini et al., "Solution-processed photoconductive UV detectors based on ZnO nanosheets." IEEE Photonics Technology Letters, Vol. 24 (No. 22), pp. 1995-97, (2012).
20- Esmaeil Parcham and Shabnam Andalibi Miandoab, "Introducing nanostructure patterns for performance enhancement in PbS colloidal quantum dot solar cells." International Journal of Nano Dimension, Vol. 11 (No. 1), pp. 18-25, (2020).
21- Wei-Hsu Chen, Taiki Onoe, and Masao Kamimura, "Noninvasive near-infrared light triggers the remote activation of thermo-responsive TRPV1 channels in neurons based on biodegradable/photothermal polymer micelles." Nanoscale, Vol. 14 (No. 6), pp. 2210-20, (2022).
22- Raquibul Hasan and Xuming Zhang, "Ca2+ regulation of TRP ion channels." International journal of molecular sciences, Vol. 19 (No. 4), p. 1256, (2018).
23- Pui-Ying Lam et al., "TRPswitch—A step-function chemo-optogenetic ligand for the vertebrate TRPA1 channel." Journal of the American Chemical Society, Vol. 142 (No. 41), pp. 17457-68, (2020).
24- Jonathan E Rubin and David Terman, "High frequency stimulation of the subthalamic nucleus eliminates pathological thalamic rhythmicity in a computational model." Journal of computational neuroscience, Vol. 16pp. 211-35, (2004).
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26- Choongseok Park, Robert M Worth, and Leonid L Rubchinsky, "Neural dynamics in Parkinsonian brain." Physical Review E-Statistical, Nonlinear, and Soft Matter Physics, Vol. 83 (No. 4), (2011).
27- Honghui Zhang, Ying Yu, Zichen Deng, and Qingyun Wang, "Activity pattern analysis of the subthalamopallidal network under ChannelRhodopsin-2 and Halorhodopsin photocurrent control." Chaos, Solitons & Fractals, Vol. 138p. 109963, (2020).
28- SV Gudkov et al., "Effect of visible light on biological objects: Physiological and pathophysiological aspects." Physics of Wave Phenomena, Vol. 25pp. 207-13, (2017).
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31- Nazlar Ghasemzadeh, Fereidoun Nowshiravan Rahatabad, Siamak Haghipour, Shabnam Andalibi Miandoab, and Keivan Maghooli, "Controlling pathological activity of Parkinson basal ganglia based on excitation and inhibition optogenetic models and monophasic and biphasic electrical stimulations." Journal of Biosciences, Vol. 48 (No. 4), p. 40, (2023).
32- ALFRED Meyer, "The concept of a sensorimotor cortex: its early history, with especial emphasis on two early experimental contributions by W. Bechterew." Brain: a journal of neurology, Vol. 101 (No. 4), pp. 673-85, (1978).
33- Jessica A Cardin et al., "Targeted optogenetic stimulation and recording of neurons in vivo using cell-type-specific expression of Channelrhodopsin-2." Nature protocols, Vol. 5 (No. 2), pp. 247-54, (2010).
34- Shivakeshavan Ratnadurai-Giridharan, Chung C Cheung, and Leonid L Rubchinsky, "Effects of electrical and optogenetic deep brain stimulation on synchronized oscillatory activity in parkinsonian basal ganglia." IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 25 (No. 11), pp. 2188-95, (2017).
35- Nazlar Ghasemzadeh, Fereidoun Nowshiravan Rahatabad, Siamak Haghipour, Shabnam Andalibi Miandoab, and Keivan Maghooli, "Effect of Optogenetic Stimulation Parameters on Firing Rate of Basal Ganglia Neurons in Parkinsonian State BG and RT Networks." Frontiers in Biomedical Technologies, (2024).
36- Nazlar Ghasemzadeh, Fereidoun Nowshiravan Rahatabad, Siamak Haghipour, Shabnam Andalibi Miandoab, and Keivan Maghooli, "Controlling the pathological activity of parkinsonian basal nuclei with the basal ganglia network model under light stimulation in the three-state, four-state channelrhodopsin, and three-state halorhodopsin optogenetic models." Medical Journal of Tabriz University of Medical Sciences, Vol. 46 (No. 3), pp. 275-93, (2024).
37- Zahra Noraepour, Mohammad Ismail Zibaii, Leila Dargahi, and hamid Latifi, "Modeling and study of Rhodopsin proteins responses to laser light irradiance in ultrafast optogenetic control." (in eng), Accepted and Presented Articles of OPSI Conferences, Research Vol. 24 (No. 0), pp. 569-72, (2018).
38- Viviana Gradinaru, Kimberly R Thompson, and Karl Deisseroth, "eNpHR: a Natronomonas halorhodopsin enhanced for optogenetic applications." Brain cell biology, Vol. 36pp. 129-39, (2008).
39- André Berndt et al., "High-efficiency channelrhodopsins for fast neuronal stimulation at low light levels." Proceedings of the National Academy of Sciences, Vol. 108 (No. 18), pp. 7595-600, (2011).
40- Denggui Fan, Zhihui Wang, and Qingyun Wang, "Optimal control of directional deep brain stimulation in the parkinsonian neuronal network." Communications in Nonlinear Science and Numerical Simulation, Vol. 36pp. 219-37, (2016).
2- Marco Bisaglia, Roberta Filograna, Mariano Beltramini, and Luigi Bubacco, "Are dopamine derivatives implicated in the pathogenesis of Parkinson's disease?" Ageing research reviews, Vol. 13pp. 107-14, (2014).
3- Deepak Joshi, Aayushi Khajuria, and Pradeep Joshi, "An automatic non-invasive method for Parkinson's disease classification." Computer methods and programs in biomedicine, Vol. 145pp. 135-45, (2017).
4- Krystal L Parker, Youngcho Kim, Stephanie L Alberico, Eric B Emmons, and Nandakumar S Narayanan, "Optogenetic approaches to evaluate striatal function in animal models of Parkinson disease." Dialogues in clinical neuroscience, Vol. 18 (No. 1), pp. 99-107, (2016).
5- R Prashanth and Sumantra Dutta Roy, "Early detection of Parkinson’s disease through patient questionnaire and predictive modelling." International journal of medical informatics, Vol. 119pp. 75-87, (2018).
6- Rajamanickam Yuvaraj et al., "Optimal set of EEG features for emotional state classification and trajectory visualization in Parkinson's disease." International Journal of Psychophysiology, Vol. 94 (No. 3), pp. 482-95, (2014).
7- Yuxia Liu, Zhigao Yi, Yun Yao, Bing Guo, and Xiaogang Liu, "Noninvasive manipulation of ion channels for neuromodulation and theranostics." Accounts of Materials Research, Vol. 3 (No. 2), pp. 247-58, (2022).
8- Bertil Hille, "Ion Channels of Excitable Membranes Third Edition." (No Title), (2001).
9- Bing-Hong Lin, Ming-Shaung Ju, and Chou-Ching K Lin, "Suppression of acute and chronic mesial temporal epilepsy by contralateral sensing and closed-loop optogenetic stimulation with proportional-plus-off control." Biomedical Signal Processing and Control, Vol. 51pp. 309-17, (2019).
10- William L Hart, Karina Needham, Rachael T Richardson, Paul R Stoddart, and Tatiana Kameneva, "Dynamic optical clamp: a novel electrophysiology tool and a technique for closed-loop stimulation." Biomedical Signal Processing and Control, Vol. 85p. 105031, (2023).
11- Rahim Katyani and Shabnam Andalibi Miandoab, "Enhance efficiency in flat and nano roughness surface perovskite solar cells with the use of index near zero materials filter." Optical and Quantum Electronics, Vol. 53 (No. 9), p. 520, (2021).
12- James H Marshel et al., "Cortical layer–specific critical dynamics triggering perception." Science, Vol. 365 (No. 6453), p. eaaw5202, (2019).
13- Seyed Hadi Badri, Mohsen Mohammadzadeh Gilarlue, Hadi Soofi, and Hassan Rasooli Saghai, "3× 3 slot waveguide crossing based on Maxwell’s fisheye lens." Optical Engineering, Vol. 58 (No. 9), pp. 097102-02, (2019).
14- Lief Fenno, Ofer Yizhar, and Karl Deisseroth, "The development and application of optogenetics." Annual review of neuroscience, Vol. 34 (No. 1), pp. 389-412, (2011).
15- Panpan Rao et al., "Near-infrared light driven tissue-penetrating cardiac optogenetics via upconversion nanoparticles in vivo." Biomedical Optics Express, Vol. 11 (No. 3), pp. 1401-16, (2020).
16- Ye-Fu Wang, Gao-Yuan Liu, Ling-Dong Sun, Jia-Wen Xiao, Jia-Cai Zhou, and Chun-Hua Yan, "Nd3+-sensitized upconversion nanophosphors: efficient in vivo bioimaging probes with minimized heating effect." ACS nano, Vol. 7 (No. 8), pp. 7200-06, (2013).
17- Sounderya Nagarajan and Yong Zhang, "Upconversion fluorescent nanoparticles as a potential tool for in-depth imaging." Nanotechnology, Vol. 22 (No. 39), p. 395101, (2011).
18- Eugene Gussakovsky and Valery Kupriyanov, "Assessment of near-infrared path length in fibrous phantom and muscle tissue." Applied spectroscopy, Vol. 62 (No. 6), pp. 671-76, (2008).
19- Elham Amini et al., "Solution-processed photoconductive UV detectors based on ZnO nanosheets." IEEE Photonics Technology Letters, Vol. 24 (No. 22), pp. 1995-97, (2012).
20- Esmaeil Parcham and Shabnam Andalibi Miandoab, "Introducing nanostructure patterns for performance enhancement in PbS colloidal quantum dot solar cells." International Journal of Nano Dimension, Vol. 11 (No. 1), pp. 18-25, (2020).
21- Wei-Hsu Chen, Taiki Onoe, and Masao Kamimura, "Noninvasive near-infrared light triggers the remote activation of thermo-responsive TRPV1 channels in neurons based on biodegradable/photothermal polymer micelles." Nanoscale, Vol. 14 (No. 6), pp. 2210-20, (2022).
22- Raquibul Hasan and Xuming Zhang, "Ca2+ regulation of TRP ion channels." International journal of molecular sciences, Vol. 19 (No. 4), p. 1256, (2018).
23- Pui-Ying Lam et al., "TRPswitch—A step-function chemo-optogenetic ligand for the vertebrate TRPA1 channel." Journal of the American Chemical Society, Vol. 142 (No. 41), pp. 17457-68, (2020).
24- Jonathan E Rubin and David Terman, "High frequency stimulation of the subthalamic nucleus eliminates pathological thalamic rhythmicity in a computational model." Journal of computational neuroscience, Vol. 16pp. 211-35, (2004).
25- Rosa Q So, Alexander R Kent, and Warren M Grill, "Relative contributions of local cell and passing fiber activation and silencing to changes in thalamic fidelity during deep brain stimulation and lesioning: a computational modeling study." Journal of computational neuroscience, Vol. 32 (No. 3), pp. 499-519, (2012).
26- Choongseok Park, Robert M Worth, and Leonid L Rubchinsky, "Neural dynamics in Parkinsonian brain." Physical Review E-Statistical, Nonlinear, and Soft Matter Physics, Vol. 83 (No. 4), (2011).
27- Honghui Zhang, Ying Yu, Zichen Deng, and Qingyun Wang, "Activity pattern analysis of the subthalamopallidal network under ChannelRhodopsin-2 and Halorhodopsin photocurrent control." Chaos, Solitons & Fractals, Vol. 138p. 109963, (2020).
28- SV Gudkov et al., "Effect of visible light on biological objects: Physiological and pathophysiological aspects." Physics of Wave Phenomena, Vol. 25pp. 207-13, (2017).
29- David Terman, Jonathan E Rubin, AC Yew, and CJ Wilson, "Activity patterns in a model for the subthalamopallidal network of the basal ganglia." Journal of Neuroscience, Vol. 22 (No. 7), pp. 2963-76, (2002).
30- Roxana A Stefanescu, RG Shivakeshavan, Pramod P Khargonekar, and Sachin S Talathi, "Computational modeling of channelrhodopsin-2 photocurrent characteristics in relation to neural signaling." Bulletin of mathematical biology, Vol. 75pp. 2208-40, (2013).
31- Nazlar Ghasemzadeh, Fereidoun Nowshiravan Rahatabad, Siamak Haghipour, Shabnam Andalibi Miandoab, and Keivan Maghooli, "Controlling pathological activity of Parkinson basal ganglia based on excitation and inhibition optogenetic models and monophasic and biphasic electrical stimulations." Journal of Biosciences, Vol. 48 (No. 4), p. 40, (2023).
32- ALFRED Meyer, "The concept of a sensorimotor cortex: its early history, with especial emphasis on two early experimental contributions by W. Bechterew." Brain: a journal of neurology, Vol. 101 (No. 4), pp. 673-85, (1978).
33- Jessica A Cardin et al., "Targeted optogenetic stimulation and recording of neurons in vivo using cell-type-specific expression of Channelrhodopsin-2." Nature protocols, Vol. 5 (No. 2), pp. 247-54, (2010).
34- Shivakeshavan Ratnadurai-Giridharan, Chung C Cheung, and Leonid L Rubchinsky, "Effects of electrical and optogenetic deep brain stimulation on synchronized oscillatory activity in parkinsonian basal ganglia." IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 25 (No. 11), pp. 2188-95, (2017).
35- Nazlar Ghasemzadeh, Fereidoun Nowshiravan Rahatabad, Siamak Haghipour, Shabnam Andalibi Miandoab, and Keivan Maghooli, "Effect of Optogenetic Stimulation Parameters on Firing Rate of Basal Ganglia Neurons in Parkinsonian State BG and RT Networks." Frontiers in Biomedical Technologies, (2024).
36- Nazlar Ghasemzadeh, Fereidoun Nowshiravan Rahatabad, Siamak Haghipour, Shabnam Andalibi Miandoab, and Keivan Maghooli, "Controlling the pathological activity of parkinsonian basal nuclei with the basal ganglia network model under light stimulation in the three-state, four-state channelrhodopsin, and three-state halorhodopsin optogenetic models." Medical Journal of Tabriz University of Medical Sciences, Vol. 46 (No. 3), pp. 275-93, (2024).
37- Zahra Noraepour, Mohammad Ismail Zibaii, Leila Dargahi, and hamid Latifi, "Modeling and study of Rhodopsin proteins responses to laser light irradiance in ultrafast optogenetic control." (in eng), Accepted and Presented Articles of OPSI Conferences, Research Vol. 24 (No. 0), pp. 569-72, (2018).
38- Viviana Gradinaru, Kimberly R Thompson, and Karl Deisseroth, "eNpHR: a Natronomonas halorhodopsin enhanced for optogenetic applications." Brain cell biology, Vol. 36pp. 129-39, (2008).
39- André Berndt et al., "High-efficiency channelrhodopsins for fast neuronal stimulation at low light levels." Proceedings of the National Academy of Sciences, Vol. 108 (No. 18), pp. 7595-600, (2011).
40- Denggui Fan, Zhihui Wang, and Qingyun Wang, "Optimal control of directional deep brain stimulation in the parkinsonian neuronal network." Communications in Nonlinear Science and Numerical Simulation, Vol. 36pp. 219-37, (2016).
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| Issue | Vol 12 No 2 (2025) | |
| Section | Original Article(s) | |
| DOI | https://doi.org/10.18502/fbt.v12i2.18278 | |
| Keywords | ||
| Parkinson’s Disease Optogenetic Infrared Neural Stimulation Basal Ganglia Network Model | ||
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How to Cite
1.
Andalibi Miandoab S, Ghasemzadeh N. Replacing IR Wavelength Instead of Visible Wavelength on the BG Network Model to Improve the Effects of Optogenetic Stimulation in Parkinson’s Disease. Frontiers Biomed Technol. 2025;12(2):320-340.
