Full Text:   <868>

Summary:  <128>

CLC number: 

On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

Crosschecked: 2024-10-18

Cited: 0

Clicked: 1117

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Mixia WANG

https://orcid.org/0000-0002-1310-8075

Xinxia CAI

https://orcid.org/0000-0001-5997-7252

-   Go to

Article info.
Open peer comments

Journal of Zhejiang University SCIENCE B 2024 Vol.25 No.10 P.803-823

http://doi.org/10.1631/jzus.B2300400


Wireless closed-loop deep brain stimulation using microelectrode array probes


Author(s):  Qianli JIA, Yaoyao LIU, Shiya LV, Yiding WANG, Peiyao JIAO, Wei XU, Zhaojie XU, Mixia WANG, Xinxia CAI

Affiliation(s):  State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China; more

Corresponding email(s):   wangmixia@mail.ie.ac.cn, xxcai@mail.ie.ac.cn

Key Words:  Deep brain stimulation (DBS), Wireless closed-loop deep brain stimulation (CL-DBS) microsystem, Microelectrode array (MEA) probe, Optical stimulation, Electrical stimulation


Share this article to: More |Next Article >>>

Qianli JIA, Yaoyao LIU, Shiya LV, Yiding WANG, Peiyao JIAO, Wei XU, Zhaojie XU, Mixia WANG, Xinxia CAI. Wireless closed-loop deep brain stimulation using microelectrode array probes[J]. Journal of Zhejiang University Science B, 2024, 25(10): 803-823.

@article{title="Wireless closed-loop deep brain stimulation using microelectrode array probes",
author="Qianli JIA, Yaoyao LIU, Shiya LV, Yiding WANG, Peiyao JIAO, Wei XU, Zhaojie XU, Mixia WANG, Xinxia CAI",
journal="Journal of Zhejiang University Science B",
volume="25",
number="10",
pages="803-823",
year="2024",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.B2300400"
}

%0 Journal Article
%T Wireless closed-loop deep brain stimulation using microelectrode array probes
%A Qianli JIA
%A Yaoyao LIU
%A Shiya LV
%A Yiding WANG
%A Peiyao JIAO
%A Wei XU
%A Zhaojie XU
%A Mixia WANG
%A Xinxia CAI
%J Journal of Zhejiang University SCIENCE B
%V 25
%N 10
%P 803-823
%@ 1673-1581
%D 2024
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.B2300400

TY - JOUR
T1 - Wireless closed-loop deep brain stimulation using microelectrode array probes
A1 - Qianli JIA
A1 - Yaoyao LIU
A1 - Shiya LV
A1 - Yiding WANG
A1 - Peiyao JIAO
A1 - Wei XU
A1 - Zhaojie XU
A1 - Mixia WANG
A1 - Xinxia CAI
J0 - Journal of Zhejiang University Science B
VL - 25
IS - 10
SP - 803
EP - 823
%@ 1673-1581
Y1 - 2024
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.B2300400


Abstract: 
deep brain stimulation (DBS), including optical stimulation and electrical stimulation, has been demonstrated considerable value in exploring pathological brain activity and developing treatments for neural disorders. Advances in DBS microsystems based on implantable microelectrode array (MEA) probes have opened up new opportunities for closed-loop DBS (CL-DBS) in situ. This technology can be used to detect damaged brain circuits and test the therapeutic potential for modulating the output of these circuits in a variety of diseases simultaneously. Despite the success and rapid utilization of MEA probe-based CL-DBS microsystems, key challenges, including excessive wired communication, need to be urgently resolved. In this review, we considered recent advances in MEA probe-based wireless CL-DBS microsystems and outlined the major issues and promising prospects in this field. This technology has the potential to offer novel therapeutic options for psychiatric disorders in the future.

基于微电极阵列探针的无线闭环脑深部刺激技术

贾千里1,2,刘瑶瑶1,2,吕诗雅1,2,王怡丁1,2,焦沛尧1,2,徐威1,2,徐兆杰1,2,王蜜霞1,2,蔡新霞1,2
1中国科学院空天信息创新研究院传感技术国家重点实验室,中国北京市,100190
2中国科学院大学电子电气与通信工程学院,中国北京市,100049
摘要:脑深部刺激(DBS),包括光刺激和电刺激,对于脑重大疾病发病机理和治疗方法开发的研究具有重要的科学意义。基于植入式微电极阵列(MEA)探针的DBS微系统的发展为原位闭环DBS(CL-DBS)提供了新机遇。闭环DBS可用于监测受损的神经细胞活动,并可根据电生理信号调整刺激参数,以实现对神经细胞活动的精准高效调控。基于MEA探针的CL-DBS微系统虽取得了快速发展,但仍有一些关键问题亟需解决,包括无线通信的安全性、稳定性和电池寿命等。本综述回顾和总结了基于MEA探针的无线CL-DBS微系统的最新进展,并探讨了该技术存在的主要问题和未来发展前景。未来,基于MEA探针的无线CL-DBS技术的不断发展和进步将继续为神经科学和临床神经学带来创新,并为脑重大疾病的治疗提供新策略。

关键词:脑深部刺激(DBS);无线闭环脑深部刺激微系统;微电极阵列探针;光刺激;电刺激

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1]AbdiA, AliakbarianH, 2019. A miniaturized UHF-band rectenna for power transmission to deep-body implantable devices. IEEE J Transl Eng Health Med, 7:1900311.

[2]AbdiA, ChaHK, 2019. A regulated multiple-output high-voltage charge pump IC for implantable neural stimulators. Microelectron J, 92:104617.

[3]AlvarezNT, BuschbeckE, MillerS, et al., 2020. Carbon nanotube fibers for neural recording and stimulation. ACS Appl Bio Mater, 3(9):6478-6487.

[4]ArakiT, BongartzLM, KaijuT, et al., 2020. Flexible neural interfaces for brain implants—the pursuit of thinness and high density. Flex Print Electron, 5(4):043002.

[5]AravanisAM, WangLP, ZhangF, et al., 2007. An optical neural interface: in vivo control of rodent motor cortex with integrated fiberoptic and optogenetic technology. J Neural Eng, 4(3):S143-S156.

[6]Ashok KumarN, ChauhanM, KandalaSK, et al., 2020. Development and testing of implanted carbon electrodes for electromagnetic field mapping during neuromodulation. Magn Reson Med, 84(4):2103-2116.

[7]AusraJ, MungerSJ, AzamiA, et al., 2021. Wireless battery free fully implantable multimodal recording and neuromodulation tools for songbirds. Nat Commun, 12:1968.

[8]BaekC, KimS, JangJW, et al., 2020. Investigation of stereotactic surgery for avian brain stimulation by a fully implanted wireless system. Neurosurg Focus, 49(1):E10.

[9]Bahadori-JahromiF, SalehiS, Madadi AslM, et al., 2023. Efficient suppression of parkinsonian beta oscillations in a closed-loop model of deep brain stimulation with amplitude modulation. Front Hum Neurosci, 16:1013155.

[10]BansalA, ShikhaS, ZhangY, 2023. Towards translational optogenetics. Nat Biomed Eng, 7(4):349-369.

[11]BanuS, GuptaS, 2022. Power optimization of low noise amplifier (LNA) and DAC used in closed loop deep brain neuro-stimulator (CDBS) at 45nm using cadence virtuoso. Int J Health Sci, 6(S3):5491-5502.

[12]BeckerMT, 2021. Charge injection capacity of ferroelectric microelectrodes for bioelectronic applications. AIP Adv, 11(6):065106.

[13]BlochE, LuoY, da CruzL, 2019. Advances in retinal prosthesis systems. Ther Adv Ophthalmol, 11:2515841418817501.

[14]BoehlerC, VieiraDM, EgertU, et al., 2020. NanoPt—a nanostructured electrode coating for neural recording and microstimulation. ACS Appl Mater Interfaces, 12(13):14855-14865.

[15]Bronte-StewartHM, PetrucciMN, O'DayJJ, et al., 2020. Perspective: evolution of control variables and policies for closed-loop deep brain stimulation for Parkinson’s disease using bidirectional deep-brain-computer interfaces. Front Hum Neurosci, 14:353.

[16]BurtonA, WonSM, SohrabiAK, et al., 2021. Wireless, battery-free, and fully implantable electrical neurostimulation in freely moving rodents. Microsyst Nanoeng, 7:62.

[17]CagnanH, DenisonT, McIntyreC, et al., 2019. Emerging technologies for improved deep brain stimulation. Nat Biotechnol, 37(9):1024-1033.

[18]ChenZS, PesaranB, 2021. Improving scalability in systems neuroscience. Neuron, 109(11):1776-1790.

[19]ChoYU, LimSL, HongJH, et al., 2022a. Transparent neural implantable devices: a comprehensive review of challenges and progress. npj Flex Electron, 6:53.

[20]ChoYU, LeeJY, JeongUJ, et al., 2022b. Ultra-low cost, facile fabrication of transparent neural electrode array for electrocorticography with photoelectric artifact-free optogenetics. Adv Funct Mater, 32(10):2105568.

[21]ChoiJ, KumarK, KhazaliM, et al., 2020. Optimal adaptive electrode selection to maximize simultaneously recorded neuron yield. Proceedings of the 34th International Conference on Neural Information Processing Systems (NeurIPS 2020). Cold Spring Harbor Laboratory, Vancouver, Canada, p.6160-6171.

[22]CuryRG, PaveseN, AzizTZ, et al., 2022. Gaps and roadmap of novel neuromodulation targets for treatment of gait in Parkinson’s disease. npj Parkinsons Dis, 8:8.

[23]CuschieriA, BorgN, ZammitC, 2022. Closed loop deep brain stimulation: a systematic scoping review. Clin Neurol Neurosurg, 223:107516.

[24]DaleJ, SchmidtSL, MitchellK, et al., 2022. Evoked potentials generated by deep brain stimulation for Parkinson’s disease. Brain Stimul, 15(5):1040-1047.

[25]DavidsonB, GiacobbeP, MithaniK, et al., 2020. Lack of clinical response to deep brain stimulation of the medial forebrain bundle in depression. Brain Stimul, 13(5):1268-1270.

[26]DeisserothK, 2015. Optogenetics: 10 years of microbial opsins in neuroscience. Nat Neurosci, 18(9):1213-1225.

[27]DingH, LuLH, ShiZ, et al., 2018. Microscale optoelectronic infrared-to-visible upconversion devices and their use as injectable light sources. Proc Natl Acad Sci USA, 115(26):6632-6637.

[28]DrebitzE, RauschLP, KreiterAK, 2020. A novel approach for removing micro-stimulation artifacts and reconstruction of broad-band neuronal signals. J Neurosci Methods, 332:108549.

[29]DuZJ, KolarcikCL, KozaiTDY, et al., 2017. Ultrasoft microwire neural electrodes improve chronic tissue integration. Acta Biomater, 53:46-58.

[30]ElderC, FriedmanD, DevinskyO, et al., 2019. Responsive neurostimulation targeting the anterior nucleus of the thalamus in 3 patients with treatment-resistant multifocal epilepsy. Epilepsia Open, 4(1):187-192.

[31]ElsanadidyE, MosaIM, HouBW, et al., 2022. Self-sustainable intermittent deep brain stimulator. Cell Rep Phys Sci, 3(10):101099.

[32]EomJ, ParkIY, KimS, et al., 2021. Deep-learned spike representations and sorting via an ensemble of auto-encoders. Neural Netw, 134:131-142.

[33]FanJM, KhambhatiAN, SellersKK, et al., 2023. Epileptiform discharges triggered with direct electrical stimulation for treatment-resistant depression: factors that modulate risk and treatment considerations. Brain Stimul, 16(2):462-465.

[34]FangH, ZhaoJN, YuKJ, et al., 2016. Ultrathin, transferred layers of thermally grown silicon dioxide as biofluid barriers for biointegrated flexible electronic systems. Proc Natl Acad Sci USA, 113(42):11682-11687.

[35]FedorFZ, MadarászM, ZátonyiA, et al., 2022. Soft, thiol-ene/acrylate-based electrode array for long-term recording of intracranial EEG signals with improved biocompatibility in mice. Adv Mater Technol, 7(5):2100942.

[36]FernandesAM, MearnsDS, DonovanJC, et al., 2021. Neural circuitry for stimulus selection in the zebrafish visual system. Neuron, 109(5):805-822.e6.

[37]Fernandez-LeonJA, ParajuliA, FranklinR, et al., 2015. A wireless transmission neural interface system for unconstrained non-human primates. J Neural Eng, 12(5):056005.

[38]Fernández-RuizA, OlivaA, de OliveiraEF, et al., 2019. Long-duration hippocampal sharp wave ripples improve memory. Science, 364(6445):1082-1086.

[39]FrankJA, AntoniniMJ, AnikeevaP, 2019. Next-generation interfaces for studying neural function. Nat Biotechnol, 37(9):1013-1023.

[40]Ghane-MotlaghB, SawanM, 2013. Design and implementation challenges of microelectrode arrays: a review. Mater Sci Appl, 4(8):483-495.

[41]GongCSA, 2022. IC-based rectification circuit techniques for biomedical energy-harvesting applications. Micromachines (Basel), 13(3):411.

[42]GottschalkS, DegtyarukO, Mc LarneyB, et al., 2019. Rapid volumetric optoacoustic imaging of neural dynamics across the mouse brain. Nat Biomed Eng, 3(5):392-401.

[43]GuanS, WangJ, GuX, et al., 2019. Elastocapillary self-assembled neurotassels for stable neural activity recordings. Sci Adv, 5(3):eaav2842.

[44]GuoYY, JiangS, GrenaBJB, et al., 2017. Polymer composite with carbon nanofibers aligned during thermal drawing as a microelectrode for chronic neural interfaces. ACS Nano, 11(7):6574-6585.

[45]HabetsJGV, HeijmansM, KuijfML, et al., 2018. An update on adaptive deep brain stimulation in Parkinson’s disease. Mov Disord, 33(12):1834-1843.

[46]HartWL, KamenevaT, WiseAK, et al., 2019. Biological considerations of optical interfaces for neuromodulation. Adv Opt Mater, 7(19):1900385.

[47]HickeyP, StacyM, 2016. Deep brain stimulation: a paradigm shifting approach to treat Parkinson’s disease. Front Neurosci, 10:173.

[48]HinchetR, YoonHJ, RyuH, et al., 2019. Transcutaneous ultrasound energy harvesting using capacitive triboelectric technology. Science, 365(6452):491-494.

[49]HongGS, LieberCM, 2019. Novel electrode technologies for neural recordings. Nat Rev Neurosci, 20(6):330-345.

[50]HorváthÁC, BorbélyS, MihókF, et al., 2022. Histological and electrophysiological evidence on the safe operation of a sharp-tip multimodal optrode during infrared neuromodulation of the rat cortex. Sci Rep, 12:11434.

[51]HowellB, HuynhB, GrillWM, 2015. Design and in vivo evaluation of more efficient and selective deep brain stimulation electrodes. J Neural Eng, 12(4):046030.

[52]HuDW, YaoMG, FanY, et al., 2019. Strategies to achieve high performance piezoelectric nanogenerators. Nano Energy, 55:288-304.

[53]HuSL, CilibertiD, GrosmarkAD, et al., 2018. Real-time readout of large-scale unsorted neural ensemble place codes. Cell Rep, 25(10):2635-2642.e5.

[54]HuangLB, GanL, LingBWK, 2021. A unified optimization model of feature extraction and clustering for spike sorting. IEEE Trans Neural Syst Rehabil Eng, 29:750-759.

[55]IdogawaS, YamashitaK, SandaR, et al., 2021. A lightweight, wireless Bluetooth-low-energy neuronal recording system for mice. Sens Actuators B Chem, 331:129423.

[56]JangJ, BaekC, KimS, et al., 2021. Current stimulation of the midbrain nucleus in pigeons for avian flight control. Micromachines (Basel), 12(7):788.

[57]JarosiewiczB, MorrellM, 2021. The RNS system: brain-responsive neurostimulation for the treatment of epilepsy. Expert Rev Med Devices, 18(2):129-138.

[58]JeongJW, McCallJG, ShinG, et al., 2015. Wireless optofluidic systems for programmable in vivo pharmacology and optogenetics. Cell, 162(3):662-674.

[59]JiBW, GeCF, GuoZJ, et al., 2020. Flexible and stretchable opto-electric neural interface for low-noise electrocorticogram recordings and neuromodulation in vivo. Biosens Bioelectron, 153:112009.

[60]JiaYY, MirbozorgiSA, LeeB, et al., 2019. A mm-sized free-floating wirelessly powered implantable optical stimulation device. IEEE Trans Biomed Circuits Syst, 13(4):608-618.

[61]JiaYY, GulerU, LaiYP, et al., 2020. A trimodal wireless implantable neural interface system-on-chip. IEEE Trans Biomed Circuits Syst, 14(6):1207-1217.

[62]JiangLM, LuGX, ZengYS, et al., 2022. Flexible ultrasound-induced retinal stimulating piezo-arrays for biomimetic visual prostheses. Nat Commun, 13:3853.

[63]JørgensenLM, HenriksenT, MardosieneS, et al., 2021. Parkinson patients have a presynaptic serotonergic deficit: a dynamic deep brain stimulation pet study. J Cereb Blood Flow Metab, 41(8):1954-1963.

[64]KampasiK, EnglishDF, SeymourJ, et al., 2018. Dual color optogenetic control of neural populations using low-noise, multishank optoelectrodes. Microsyst Nanoeng, 4:10.

[65]KhanIS, D'AgostinoEN, CalnanDR, et al., 2019. Deep brain stimulation for memory modulation: a new frontier. World Neurosurg, 126:638-646.

[66]KhodagholyD, FerreroJJ, ParkJ, et al., 2022. Large-scale, closed-loop interrogation of neural circuits underlying cognition. Trends Neurosci, 45(12):968-983.

[67]KimCY, KuMJ, QaziR, et al., 2021. Soft subdermal implant capable of wireless battery charging and programmable controls for applications in optogenetics. Nat Commun, 12:535.

[68]KimJH, LeeGH, KimS, et al., 2018. Flexible deep brain neural probe for localized stimulation and detection with metal guide. Biosens Bioelectron, 117:436-443.

[69]KimK, VöröslakosM, SeymourJP, et al., 2020. Artifact-free and high-temporal-resolution in vivo opto-electrophysiology with microLED optoelectrodes. Nat Commun, 11:2063.

[70]KimT, KadjiH, WhalenAJ, et al., 2022. Thermal effects on neurons during stimulation of the brain. J Neural Eng, 19(5):056029.

[71]KimTI, McCallJG, JungYH, et al., 2013. Injectable, cellular-scale optoelectronics with applications for wireless optogenetics. Science, 340(6129):211-216.

[72]KirályB, BalázsfiD, HorváthI, et al., 2020. In vivo localization of chronically implanted electrodes and optic fibers in mice. Nat Commun, 11:4686.

[73]KraussJK, LipsmanN, AzizT, et al., 2021. Technology of deep brain stimulation: current status and future directions. Nat Rev Neurol, 17(2):75-87.

[74]KuanYC, LoYK, KimY, et al., 2015. Wireless gigabit data telemetry for large-scale neural recording. IEEE J Biomed Health Inform, 19(3):949-957.

[75]KumariLS, KouzaniAZ, 2023. Electrophysiology-based closed loop optogenetic brain stimulation devices: recent developments and future prospects. IEEE Rev Biomed Eng, 16:91-108.

[76]KwartengE, CebeM, 2022. A survey on security issues in modern Implantable Devices: solutions and future issues. Smart Health, 25:100295.

[77]LanzioV, TelianG, KoshelevA, et al., 2021. Small footprint optoelectrodes using ring resonators for passive light localization. Microsyst Nanoeng, 7:40.

[78]LecomteA, DescampsE, BergaudC, 2018. A review on mechanical considerations for chronically-implanted neural probes. J Neural Eng, 15(3):031001.

[79]LeeB, KoripalliMK, JiaYY, et al., 2018. An implantable peripheral nerve recording and stimulation system for experiments on freely moving animal subjects. Sci Rep, 8:6115.

[80]LeeB, JiaYY, MirbozorgiSA, et al., 2019. An inductively-powered wireless neural recording and stimulation system for freely-behaving animals. IEEE Trans Biomed Circuits Syst, 13(2):413-424.

[81]LeeD, JeongSH, YunS, et al., 2021. Totally implantable enzymatic biofuel cell and brain stimulator operating in bird through wireless communication. Biosens Bioelectron, 171:112746.

[82]LeeJ, OzdenI, SongYK, et al., 2015. Transparent intracortical microprobe array for simultaneous spatiotemporal optical stimulation and multichannel electrical recording. Nat Methods, 12(12):1157-1162.

[83]LeeJM, LinDC, KimHR, et al., 2021. All-tissue-like multifunctional optoelectronic mesh for deep-brain modulation and mapping. Nano Lett, 21(7):3184-3190.

[84]LeeKJ, HongD, JangJW, et al., 2023. A wireless ECoG recording system to detect brain responses to tactile stimulation. IEEE Sens J, 23(12):13692-13701.

[85]LeeS, CorteseAJ, GandhiAP, et al., 2018. A 250 μm×57 μm microscale opto-electronically transduced electrodes (MOTEs) for neural recording. IEEE Trans Biomed Circuits Syst, 12(6):1256-1266.

[86]LehtoLJ, CannaA, WuL, et al., 2020. Orientation selective deep brain stimulation of the subthalamic nucleus in rats. Neuroimage, 213:116750.

[87]LeibigC, WachtlerT, ZeckG, 2016. Unsupervised neural spike sorting for high-density microelectrode arrays with convolutive independent component analysis. J Neurosci Methods, 271:1-13.

[88]LiDF, WangW, WangHJ, et al., 2008. Polyaniline films with nanostructure used as neural probe coating surfaces. Appl Surf Sci, 255(2):581-584.

[89]LiJN, ChengYH, GuML, et al., 2023. Sensing and stimulation applications of carbon nanomaterials in implantable brain-computer interface. Int J Mol Sci, 24(6):5182.

[90]LiRH, HosseiniH, SaggarM, et al., 2023. Current opinions on the present and future use of functional near-infrared spectroscopy in psychiatry. Neurophotonics, 10(1):013505.

[91]LiZH, WangYT, ZhangN, et al., 2020. An accurate and robust method for spike sorting based on convolutional neural networks. Brain Sci, 10(11):835.

[92]LibbrechtS, HoffmanL, WelkenhuysenM, et al., 2018. Proximal and distal modulation of neural activity by spatially confined optogenetic activation with an integrated high-density optoelectrode. J Neurophysiol, 120(1):149-161.

[93]LingW, YuJX, MaN, et al., 2020. Flexible electronics and materials for synchronized stimulation and monitoring in multi-encephalic regions. Adv Funct Mater, 30(32):2002644.

[94]LiuCB, ZhaoY, CaiX, et al., 2020. A wireless, implantable optoelectrochemical probe for optogenetic stimulation and dopamine detection. Microsyst Nanoeng, 6:64.

[95]LiuSJ, LiuL, ZhaoY, et al., 2022. A high-performance electrode based on van der Waals heterostructure for neural recording. Nano Lett, 22(11):4400-4409.

[96]LiuX, LuYC, IseriE, et al., 2018. A compact closed-loop optogenetics system based on artifact-free transparent graphene electrodes. Front Neurosci, 12:132.

[97]LiuXL, ZhuHJ, QiuT, et al., 2021. A fully integrated sensor-brain‒machine interface system for restoring somatosensation. IEEE Sens J, 21(4):4764-4775.

[98]LoMC, WidgeAS, 2017. Closed-loop neuromodulation systems: next-generation treatments for psychiatric illness. Int Rev Psychiatry, 29(2):191-204.

[99]LuanL, RobinsonJT, AazhangB, et al., 2020. Recent advances in electrical neural interface engineering: minimal invasiveness, longevity, and scalability. Neuron, 108(2):‍302-321.

[100]LyuHM, WangJG, LaJH, et al., 2018. An energy-efficient wirelessly powered millimeter-scale neurostimulator implant based on systematic codesign of an inductive loop antenna and a custom rectifier. IEEE Trans Biomed Circuits Syst, 12(5):1131-1143.

[101]MagerT, de la MorenaDL, SennV, et al., 2018. High frequency neural spiking and auditory signaling by ultrafast red-shifted optogenetics. Nat Commun, 9:1750.

[102]MaimonBE, SparksK, SrinivasanS, et al., 2018. Spectrally distinct channelrhodopsins for two-colour optogenetic peripheral nerve stimulation. Nat Biomed Eng, 2(7):‍485-496.

[103]MartínezS, Garcia-VioliniD, BelluscioM, et al., 2023. Dynamical models in neuroscience from a closed-loop control perspective. IEEE Rev Biomed Eng, 16:706-721.

[104]MatsushitaK, HirataM, SuzukiT, et al., 2018. A fully implantable wireless ECoG 128-channel recording device for human brain‍‒‍machine interfaces: W-HERBS. Front Neurosci, 12:511.

[105]McIntyreCC, ChaturvediA, ShamirRR, et al., 2015. Engineering the next generation of clinical deep brain stimulation technology. Brain Stimul, 8(1):21-26.

[106]MenchónJM, RealE, AlonsoP, et al., 2021. A prospective international multi-center study on safety and efficacy of deep brain stimulation for resistant obsessive-compulsive disorder. Mol Psychiatry, 26(4):1234-1247.

[107]MendrelaAE, KimK, EnglishD, et al., 2018. A high-resolution opto-electrophysiology system with a miniature integrated headstage. IEEE Trans Biomed Circuits Syst, 12(5):‍1065-1075.

[108]MengL, JinMY, ZhuXD, et al., 2022. Peripherical electrical stimulation for Parkinsonian tremor: a systematic review. Front Aging Neurosci, 14:795454.

[109]MoghaddasiM, ShoorehdeliMA, FatahiZ, et al., 2020. Unsupervised automatic online spike sorting using reward-based online clustering. Biomed Signal Process Control, 56:101701.

[110]MohantyA, LiQ, TadayonMA, et al., 2020. Reconfigurable nanophotonic silicon probes for sub-millisecond deep-brain optical stimulation. Nat Biomed Eng, 4(2):223-231.

[111]MolinaR, HassCJ, CerneraS, et al., 2021. Closed-loop deep brain stimulation to treat medication-refractory freezing of gait in Parkinson’s disease. Front Hum Neurosci, 15:633655.

[112]NgKA, GreenwaldE, XuYP, et al., 2016. Implantable neurotechnologies: a review of integrated circuit neural amplifiers. Med Biol Eng Comput, 54:45-62.

[113]NordiTM, GounellaRH, LuppeM, et al., 2022. Low-noise amplifier for deep-brain stimulation (DBS). Electronics, 11(6):939.

[114]NormannRA, FernandezE, 2016. Clinical applications of penetrating neural interfaces and Utah Electrode Array technologies. J Neural Eng, 13(6):061003.

[115]ObaidS, LuLY, 2019. Highly efficient microscale gallium arsenide solar cell arrays as optogenetic power options. IEEE Photonics J, 11(1):8400108.

[116]ObienMEJ, DeligkarisK, BullmannT, et al., 2015. Revealing neuronal function through microelectrode array recordings. Front Neurosci, 8:423.

[117]OhtaY, GuintoMC, TokudaT, et al., 2021. Micro-LED array-based photo-stimulation devices for optogenetics in rat and macaque monkey brains. IEEE Access, 9:‍127937-127949.

[118]OldroydP, MalliarasGG, 2022. Achieving long-term stability of thin-film electrodes for neurostimulation. Acta Biomater, 139:65-81.

[119]OuyangH, LiuZ, LiN, et al., 2019. Symbiotic cardiac pacemaker. Nat Commun, 10:1821.

[120]PangN, MengW, ZhongYS, et al., 2022. Ultrasound deep brain stimulation modulates body temperature in mice. IEEE Trans Neural Syst Rehabil Eng, 30:1851-1857.

[121]ParastarfeizabadiM, KouzaniAZ, 2017. Advances in closed-loop deep brain stimulation devices. J Neuroeng Rehabil, 14:79.

[122]ParkS, HeoSW, LeeW, et al., 2018. Self-powered ultra-flexible electronics via nano-grating-patterned organic photovoltaics. Nature, 561(7724):516-521.

[123]PatelB, ChiuS, WongJK, et al., 2021. Deep brain stimulation programming strategies: segmented leads, independent current sources, and future technology. Expert Rev Med Devices, 18(9):875-891.

[124]PazJT, DavidsonTJ, FrechetteES, et al., 2013. Closed-loop optogenetic control of thalamus as a tool for interrupting seizures after cortical injury. Nat Neurosci, 16(1):64-70.

[125]PetrucciMN, AndersonRW, O'DayJJ, et al., 2020. A closed-loop deep brain stimulation approach for mitigating burst durations in people with Parkinson’s disease. Proceedings of the 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society. IEEE, Montreal, QC, Canada, p.3617-3620.

[126]PfauJ, GanatraD, WeltinA, et al., 2019. Electrochemical stability of thin-film platinum as suitable material for neural stimulation electrodes. 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Berlin, Germany, p.3762-3765.

[127]PimentaS, RodriguesJA, MachadoF, et al., 2021. Double-layer flexible neural probe with closely spaced electrodes for high-density in vivo brain recordings. Front Neurosci, 15:663174.

[128]PisanelloF, SileoL, OldenburgIA, et al., 2014. Multipoint-emitting optical fibers for spatially addressable in vivo optogenetics. Neuron, 82(6):1245-1254.

[129]PolS, TemelY, JahanshahiA, 2021. A custom made electrode construct and reliable implantation method that allows for long-term bilateral deep brain stimulation in mice. Neuromodulation, 24(2):212-219.

[130]PoojariY, 2017. Silicones for encapsulation of medical device implants. Silicon, 9(5):645-649.

[131]PoolJL, 1954. Psychosurgery in older people. J Am Geriatr Soc, 2(7):456-466.

[132]PrantiAS, SchanderA, BödeckerA, et al., 2017. Highly stable PEDOT:PSS coating on gold microelectrodes with improved charge injection capacity for chronic neural stimulation. Proceedings, 1(4):492.

[133]PriceJB, RusheenAE, BarathAS, et al., 2020. Clinical applications of neurochemical and electrophysiological measurements for closed-loop neurostimulation. Neurosurg Focus, 49(1):E6.

[134]ProvenzaNR, ShethSA, Dastin-van RijnEM, et al., 2021. Long-term ecological assessment of intracranial electrophysiology synchronized to behavioral markers in obsessive-compulsive disorder. Nat Med, 27(12):2154-2164.

[135]QianX, ChenY, FengY, et al., 2017. A method for removal of deep brain stimulation artifact from local field potentials. IEEE Trans Neural Syst Rehabil Eng, 25(12):2217-2226.

[136]RáczM, LiberC, NémethE, et al., 2020. Spike detection and sorting with deep learning. J Neural Eng, 17(1):016038.

[137]RahmanA, SiddikAB, GhoshTK, et al., 2020. A narrative review on clinical applications of fNIRS. J Digit Imaging, 33(5):1167-1184.

[138]RamotM, MartinA, 2022. Closed-loop neuromodulation for studying spontaneous activity and causality. Trends Cogn Sci, 26(4):290-299.

[139]RhewHG, JeongJ, FredenburgJA, et al., 2014. A fully self-contained logarithmic closed-loop deep brain stimulation SoC with wireless telemetry and wireless power management. IEEE J Solid-State Circuits, 49(10):2213-2227.

[140]Riva-PosseP, ChoiKS, HoltzheimerPE, et al., 2018. A connectomic approach for subcallosal cingulate deep brain stimulation surgery: prospective targeting in treatment-resistant depression. Mol Psychiatry, 23(4):843-849.

[141]RocaE, GobettiA, CornacchiaG, et al., 2023. An expandable chamber for safe brain retraction: new technologies in the field of transcranial endoscopic surgery. J Zhejiang Univ-Sci B (Biomed & Biotechnol), 24(4):326-335.

[142]RyvlinP, JehiLE, 2022. Neuromodulation for refractory epilepsy. Epilepsy Curr, 22(1):11-17.

[143]ScangosKW, MakhoulGS, SugrueLP, et al., 2021a. State-dependent responses to intracranial brain stimulation in a patient with depression. Nat Med, 27(2):229-231.

[144]ScangosKW, KhambhatiAN, DalyPM, et al., 2021b. Closed-loop neuromodulation in an individual with treatment-resistant depression. Nat Med, 27(10):1696-1700.

[145]SchwarzDA, LebedevMA, HansonTL, et al., 2014. Chronic, wireless recordings of large-scale brain activity in freely moving rhesus monkeys. Nat Methods, 11(6):670-676.

[146]SeoD, NeelyRM, ShenK, et al., 2016. Wireless recording in the peripheral nervous system with ultrasonic neural dust. Neuron, 91(3):529-539.

[147]ShabbirI, LeeDM, ChooDC, et al., 2022. A graphene nanoplatelets-based high-performance, durable triboelectric nanogenerator for harvesting the energy of human motion. Energy Rep, 8:1026-1033.

[148]ShiZF, ZhengFM, ZhouZT, et al., 2019. Silk-enabled conformal multifunctional bioelectronics for investigation of spatiotemporal epileptiform activities and multimodal neural encoding/decoding. Adv Sci, 6(9):1801617.

[149]ShimE, ChenY, MasmanidisS, et al., 2016. Multisite silicon neural probes with integrated silicon nitride waveguides and gratings for optogenetic applications. Sci Rep, 6:22693.

[150]ShimS, YunS, KimS, et al., 2020. A handheld neural stimulation controller for avian navigation guided by remote control. Biomed Mater Eng, 30(5-6):497-507.

[151]ShinG, GomezAM, Al-HasaniR, et al., 2017. Flexible near-field wireless optoelectronics as subdermal implants for broad applications in optogenetics. Neuron, 93(3):‍509-521.e3.

[152]SierraRO, PedrazaLK, BarcsaiL, et al., 2023. Closed-loop brain stimulation augments fear extinction in male rats. Nat Commun, 14:3972.

[153]Silverå EjnebyM, JakešováM, FerreroJJ, et al., 2022. Chronic electrical stimulation of peripheral nerves via deep-red light transduced by an implanted organic photocapacitor. Nat Biomed Eng, 6(6):741-753.

[154]SitàL, BrondiM, de Leon RoigPL, et al., 2022. A deep-learning approach for online cell identification and trace extraction in functional two-photon calcium imaging. Nat Commun, 13:1529.

[155]SlopsemaJP, CannaA, UchenikM, et al., 2021. Orientation-selective and directional deep brain stimulation in swine assessed by functional MRI at 3T. NeuroImage, 224:117357.

[156]SolankiS, GuptaAK, SahaU, et al., 2023. Triboelectric Nanogenerator-based smart biomedical sensors for healthcare. Sustain Energy Technol Assess, 57:103233.

[157]SuF, KumaraveluK, WangJ, et al., 2019. Model-based evaluation of closed-loop deep brain stimulation controller to adapt to dynamic changes in reference signal. Front Neurosci, 13:956.

[158]SuF, ChenM, ZuLL, et al., 2021. Model-based closed-loop suppression of parkinsonian beta band oscillations through origin analysis. IEEE Trans Neural Syst Rehabil Eng, 29:450-457.

[159]SuY, RouthuS, MoonKS, et al., 2016. A wireless 32-channel implantable bidirectional brain machine interface. Sensors, 16(10):1582.

[160]TalaF, LeiberJ, FisherH, et al., 2021. A low-cost, wireless, multi-channel deep brain stimulation system for rodents. Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, Mexico, p.7526-7529.

[161]TelkesI, ViswanathanA, Jimenez-ShahedJ, et al., 2018. Local field potentials of subthalamic nucleus contain electrophysiological footprints of motor subtypes of Parkinson’s disease. Proc Natl Acad Sci USA, 115(36):E8567-E8576.

[162]ThieleS, SörensenA, WeisJ, et al., 2020. Deep brain stimulation of the medial forebrain bundle in a rodent model of depression: exploring dopaminergic mechanisms with raclopride and micro-PET. Stereotact Funct Neurosurg, 98(1):8-20.

[163]ThunemannM, LuYC, LiuX, et al., 2018. Deep 2-photon imaging and artifact-free optogenetics through transparent graphene microelectrode arrays. Nat Commun, 9:2035.

[164]TinkhauserG, PogosyanA, LittleS, et al., 2017. The modulatory effect of adaptive deep brain stimulation on beta bursts in Parkinson’s disease. Brain, 140(4):1053-1067.

[165]TopalovicU, AghajanZM, VillaromanD, et al., 2020. Wireless programmable recording and stimulation of deep brain activity in freely moving humans. Neuron, 108(2):322-334.e9.

[166]TopalovicU, BarclayS, LingCK, et al., 2023. A wearable platform for closed-loop stimulation and recording of single-neuron and local field potential activity in freely moving humans. Nat Neurosci, 26(3):517-527.

[167]TremblayS, AckerL, AfrazA, et al., 2020. An open resource for non-human primate optogenetics. Neuron, 108(6):1075-1090.e6.

[168]van der WalJM, BergfeldIO, LokA, et al., 2020. Long-term deep brain stimulation of the ventral anterior limb of the internal capsule for treatment-resistant depression. J Neurol Neurosurg Psychiatry, 91(2):189-195.

[169]WalkerEY, SinzFH, CobosE, et al., 2019. Inception loops discover what excites neurons most using deep predictive models. Nat Neurosci, 22(12):2060-2065.

[170]WangL, FeiZX, WuZT, et al., 2023. Wearable bending wireless sensing with autonomous wake-up by piezoelectric and triboelectric hybrid nanogenerator. Nano Energy, 112:108504.

[171]WangLC, GeCF, WangMH, et al., 2020. An artefact-resist optrode with internal shielding structure for low-noise neural modulation. J Neural Eng, 17(4):046024.

[172]WangYD, SongYL, DaiYC, et al., 2022. The burst of electrophysiological signals in the suprachiasmatic nucleus of mouse during the arousal detected by microelectrode arrays. Front Bioeng Biotechnol, 10:970726.

[173]WhiteM, MackayM, WhittakerRG, 2020. Taking optogenetics into the human brain: opportunities and challenges in clinical trial design. Open Access J Clin Trials, 2020:33-41.

[174]WrightJP, MughrabiIT, WongJ, et al., 2022. A fully implantable wireless bidirectional neuromodulation system for mice. Biosens Bioelectron, 200:113886.

[175]XuHJ, ScholtenK, JiangWX, et al., 2022. Acute in vivo recording with a generic parylene microelectrode array implanted with dip-coating method into the rat brain. Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). Glasgow, Scotland, United Kingdom, p.214-217.

[176]YangX, ZhouT, ZwangTJ, et al., 2019. Bioinspired neuron-like electronics. Nat Mater, 18(5):510-517.

[177]YaoG, KangL, LiJ, et al., 2018. Effective weight control via an implanted self-powered vagus nerve stimulation device. Nat Commun, 9:5349.

[178]YuNB, LiangSQ, LuJW, et al., 2021. Quantified assessment of deep brain stimulation on Parkinson’s patients with task fNIRS measurements and functional connectivity analysis: a pilot study. Chin Neurosurg J, 7:34.

[179]YunS, KohCS, JeongJ, et al., 2019. Remote-controlled fully implantable neural stimulator for freely moving small animal. Electronics, 8(6):706.

[180]ZaaimiB, TurnbullM, HazraA, et al., 2023. Closed-loop optogenetic control of the dynamics of neural activity in non-human primates. Nat Biomed Eng, 7(4):559-575.

[181]ZaerH, DeshmukhA, OrlowskiD, et al., 2021. An intracortical implantable brain-computer interface for telemetric real-time recording and manipulation of neuronal circuits for closed-loop intervention. Front Hum Neurosci, 15:618626.

[182]ZanosS, 2019. Closed-loop neuromodulation in physiological and translational research. Cold Spring Harb Perspect Med, 9(11):a034314.

[183]ZátonyiA, OrbánG, ModiR, et al., 2019. A softening laminar electrode for recording single unit activity from the rat hippocampus. Sci Rep, 9:2321.

[184]ZengQ, YuSJ, FanZH, et al., 2022. Nanocone-array-based platinum-iridium oxide neural microelectrodes: structure, electrochemistry, durability and biocompatibility study. Nanomaterials, 12(19):3445.

[185]ZhangCC, ZhangYY, ZhanSK, et al., 2018. Telemedical deep brain stimulation: merits and limitations. Stereotact Funct Neurosurg, 96(4):272-273.

[186]ZhangF, AghagolzadehM, OweissK, 2012. A fully implantable, programmable and multimodal neuroprocessor for wireless, cortically controlled brain‍-‍machine interface applications. J Signal Process Syst, 69(3):351-361.

[187]ZhangQS, HuSL, TalayR, et al., 2023. A prototype closed-loop brain‒machine interface for the study and treatment of pain. Nat Biomed Eng, 7(4):533-545.

[188]ZhangS, ZhangXP, ZhongHL, et al., 2022. Hypothermia evoked by stimulation of medial preoptic nucleus protects the brain in a mouse model of ischaemia. Nat Commun, 13:6890.

[189]ZhangSY, YoshidaW, ManoH, et al., 2020. Pain control by co-adaptive learning in a brain‍‒‍machine interface. Curr Biol, 30(20):3935-3944.e7.

[190]ZhangZ, LiYF, MouthaanK, et al., 2018. A miniature mode reconfigurable inductorless IR-UWB transmitter‍‒‍receiver for wireless short-range communication and vital-sign sensing. IEEE J Emerg Sel Top Circuits Syst, 8(2):294-305.

[191]ZhangZH, RussellLE, PackerAM, et al., 2018. Closed-loop all-optical interrogation of neural circuits in vivo. Nat Methods, 15(12):1037-1040.

[192]ZhaoD, SunQ, ChengS, et al., 2018. Extraction of Parkinson’s disease-related features from local field potentials for adaptive deep brain stimulation. Neurophysiology, 50(1):57-67.

[193]ZhaoSY, LiG, TongCJ, et al., 2020. Full activation pattern mapping by simultaneous deep brain stimulation and fMRI with graphene fiber electrodes. Nat Commun, 11:1788.

[194]ZhaoY, LiuCB, LiuZX, et al., 2019. Wirelessly operated, implantable optoelectronic probes for optogenetics in freely moving animals. IEEE Trans Electron Devices, 66(1):785-792.

[195]ZhouA, SantacruzSR, JohnsonBC, et al., 2019. A wireless and artefact-free 128-channel neuromodulation device for closed-loop stimulation and recording in non-human primates. Nat Biomed Eng, 3(1):15-26.

Open peer comments: Debate/Discuss/Question/Opinion

<1>

Please provide your name, email address and a comment





Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou 310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn
Copyright © 2000 - 2024 Journal of Zhejiang University-SCIENCE