A wireless photostimulator for optogenetics with live animals

Gagnon-Turcotte, Gabriel; Maghsoudloo, Esmaeel; Messaddeq, Younès; Gosselin, Benoît

doi:10.1109/newcas.2017.8010138

Cited by 10 publications

(4 citation statements)

References 8 publications

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“…In order to eliminate these difficulties, microscale LEDs (µ-LEDs) have been widely used as the light stimulus source (Grossman et al, 2010;McGovern et al, 2010;Tokuda et al, 2012;McAlinden et al, 2015), which is more compact, inexpensive, and power efficient than lasers or laser diodes. Furthermore, µ-LEDs can be integrated with wireless interfaces (Montgomery et al, 2015;Park et al, 2015), such as batteries (Gagnon-Turcotte et al, 2017) or utilizing electromagnetic near-field (Shin et al, 2017;Aldaoud et al, 2018;Biswas et al, 2018;Khan et al, 2018) and far-field region (Kim et al, 2013;Park et al, 2015) for single and multi-site in-vivo stimulation in freely moving subjects. Simultaneously, wireless data links, such as Bluetooth, can also be integrated with µ-LEDs to achieve bi-directional interfaces with the nervous systems (Jeong et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Micro-Reflector Integrated Multichannel μLED Optogenetic Neurostimulator With Enhanced Intensity

et al. 2018

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This paper reports the fabrication and characterization of an optical neuro-stimulator array that consists of 32-channel microscale light-emitting diodes (µ-LEDs) coupled with microscale reflectors for intensity enhancement. The hemi-spherical micro-reflector is able to collect the rear side emission of LED while also acting as a collimator to focus the diverged LED light, aiming toward driving power minimization through light intensity increase, for wireless neuro-stimulator applications. The micro-reflector was constructed by wet etching of silicon followed by aluminum coating as the reflective mirror. The reflective cavity was filled with polydimethylsiloxane (PDMS) that acts as the planarization polymer to facilitate device integration with the µ-LED chip. Deviation of hemi-spherical geometry cavities due to the uneven lateral and vertical etching rate was shown, and the surface morphology was characterized experimentally. Optical intensity enhancement was studied in both simulation and experiments, demonstrating that the micro-reflector enables 65% intensity enhancement. The reflector-coupled LED had an operating temperature increase of <1 • C, well within the ANSI/AAMI safety limit for biomedical implants. The potential of the stimulator for use in optogenetics was validated by in vitro experiments.

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Section: Introductionmentioning

confidence: 99%

Micro-Reflector Integrated Multichannel μLED Optogenetic Neurostimulator With Enhanced Intensity

et al. 2018

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“…This battery, which is inexpensive, and widely available for use in hearing-aids, provides a very high power density, which is ideal given the exacting constraints on weight and size of the NAT-1 device. The contrast between the Zinc-Air A13 cell and other small battery cells, shown in Table II, highlights the high power capacity, and vastly superior power density of this cell type, particularly when contrasted with alternatives recently surveyed elsewhere [28].…”

Section: E Custom Battery Clip and Power Managementmentioning

confidence: 98%

Miniature Untethered EEG Recorder Improves Advanced Neuroscience Methodologies

Crispin-Bailey

Austin

Platt

et al. 2019

IEEE Trans. Biomed. Circuits Syst.

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Rodent electroencephalography (EEG) in preclinical research is frequently conducted in behaving animals. However, the difficulty inherent in identifying EEG epochs associated with a particular behavior or cue is a significant obstacle to more efficient analysis. In this paper we highlight a new solution, using infrared event stamping to accurately synchronize EEG, recorded from superficial sites above the hippocampus and prefrontal cortex, with video motion tracking data in a transgenic Alzheimer's disease (AD) mouse model. Epochs capturing specific behaviors were automatically identified and extracted prior to further analysis. This was achieved by the novel design of a ultraminiature wearable EEG recorder, the NAT-1 device, and its insitu IR recording module. The device is described in detail, and its contribution to enabling new neuroscience is demonstrated.

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“…To compare the efficacy of the two stimulation schemes, the maximum achievable stimulation frequencies were calculated. For optogenetic stimulation, with the assumption that 3.3 V and 20 mA were supplied to the stimulating LEDs [201], [202] and 10 ms is the pulse width necessary to achieve a full response [203], the power needed is calculated to be 600 µJ per stimulation. For electrical stimulation, the impedance of Pt electrodes of various sizes are inferred from the theoretical interface This work is licensed under a Creative Commons Attribution 4.0 License.…”

Section: Neural Stimulationmentioning

confidence: 99%

Challenges in Scaling Down of Free-Floating Implantable Neural Interfaces to Millimeter Scale

Yang

2020

IEEE Access

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Implantable neural interface devices are an emerging technology for continuous brain monitoring and brain-computer interface (BCI). Recording of electrical signals from neurons of interest has led to more efficient and personalized diagnosis, treatment, and prognosis of neurological disorders. It facilitates the dynamic mapping of the whole brain, improving our understanding of the links between brain functions and behaviors. Stimulation of targeted nerves and neurons has been utilized as an effective therapy for Parkinson's disease, essential tremor, dystonia, etc. It has also been developed as motor neuroprosthetic devices, improving the quality of life of many. Although initial designs were bulky, recent advances in semiconductor and nano-, micro-technology has enabled the miniaturization of such devices to the millimeter scale. Free-floating neural implants of miniature size are highly scalable to be distributed around the targeted region of interest more extensively. They are more clinically viable as they cause less disturbance to the body and induce less tissue immune response. However, these research efforts for scaling down have faced challenges resulted from decreasing the size of such implants, including issues pertaining to wireless powering, data communication, neural signal recording, and neural stimulation. Through extensive literature research and simulations, the limits and trade-offs regarding neural implant miniaturization are investigated and analyzed for each aspect of the challenges. State-of-the-art development and future trends for advanced neural interfaces are also explored. INDEX TERMS Implantable neural interface, neural signal recording and stimulation, wireless power transfer, millimeter size, free-floating neural probes.

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A wireless photostimulator for optogenetics with live animals

Cited by 10 publications

References 8 publications

Micro-Reflector Integrated Multichannel μLED Optogenetic Neurostimulator With Enhanced Intensity

Micro-Reflector Integrated Multichannel μLED Optogenetic Neurostimulator With Enhanced Intensity

Miniature Untethered EEG Recorder Improves Advanced Neuroscience Methodologies

Challenges in Scaling Down of Free-Floating Implantable Neural Interfaces to Millimeter Scale

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