Three-dimensional multiwaveguide probe array for light delivery to distributed brain circuits

Zorzos, Anthony N.; Scholvin, Jörg; Boyden, Edward S.; Fonstad, Clifton G.

doi:10.1364/ol.37.004841

Cited by 169 publications

(123 citation statements)

References 12 publications

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“…This approach shows two major limitations: (i) the size of the implanted waveguide significantly damages the brain tissue, and (ii) it is not possible to redirect light in a different zone of the brain. Several alternative technological solutions have been developed recently to dynamically redirect light towards different locations of the brain tissue [8][9][10][11], including µ-Light Emitting Diodes [6,12,13], array of waveguides [14][15][16][17], bundle of optical fibers [18,19] or patterned illumination techniques [4,20,21].…”

Section: Introductionmentioning

confidence: 99%

Modal demultiplexing properties of tapered and nanostructured optical fibers for in vivo optogenetic control of neural activity

Patria

Sileo

Sabatini

et al. 2015

Biomed. Opt. Express

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Optogenetic approaches to manipulate neural activity have revolutionized the ability of neuroscientists to uncover the functional connectivity underlying brain function. At the same time, the increasing complexity of in vivo optogenetic experiments has increased the demand for new techniques to precisely deliver light into the brain, in particular to illuminate selected portions of the neural tissue. Tapered and nanopatterned gold-coated optical fibers were recently proposed as minimally invasive multipoint light delivery devices, allowing for site-selective optogenetic stimulation in the mammalian brain [Pisanello et al., Neuron 82, 1245]. Here we demonstrate that the working principle behind these devices is based on the mode-selective photonic properties of the fiber taper. Using analytical and ray tracing models we model the finite conductance of the metal coating, and show that single or multiple optical windows located at specific taper sections can outcouple only specific subsets of guided modes injected into the fiber.

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Section: Introductionmentioning

confidence: 99%

Modal demultiplexing properties of tapered and nanostructured optical fibers for in vivo optogenetic control of neural activity

Patria

Sileo

Sabatini

et al. 2015

Biomed. Opt. Express

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“…While optical waveguides based on silica fibers [128] or silicon oxynitride planar waveguides [129] in various forms have been implanted in animals, particularly for optogenetic studies in the brain [130], low-loss waveguides can be made from a variety of biocompatible, transparent materials. For low guiding loss, the refractive index of the biomaterial should be higher than that of adjacent tissues, which ranges typically from 1.34 (interstitial fluid) to 1.47.…”

Section: Waveguides and Waveguide-based Devicesmentioning

confidence: 99%

Toward biomaterial-based implantable photonic devices

et al. 2017

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Optical technologies are essential for the rapid and efficient delivery of health care to patients. Efforts have begun to implement these technologies in miniature devices that are implantable in patients for continuous or chronic uses. In this review, we discuss guidelines for biomaterials suitable for use in vivo. Basic optical functions such as focusing, reflection, and diffraction have been realized with biopolymers. Biocompatible optical fibers can deliver sensing or therapeutic-inducing light into tissues and enable optical communications with implanted photonic devices. Wirelessly powered, light-emitting diodes (LEDs) and miniature lasers made of biocompatible materials may offer new approaches in optical sensing and therapy. Advances in biotechnologies, such as optogenetics, enable more sophisticated photonic devices with a high level of integration with neurological or physiological circuits. With further innovations and translational development, implantable photonic devices offer a pathway to improve health monitoring, diagnostics, and light-activated therapies.

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“…Specifically, we look at five electrode arrangements: (1) electrodes evenly distributed in an equilateral grid (Grid electrodes); (2) randomly placed electrodes (Random electrodes); (3) electrodes evenly distributed in a plane (Planar electrodes); and (4 and 5) two arrangements of columns of electrodes, where electrodes are densely packed within a column, and these columns are arranged in a grid (Zorzos et al, 2012) (Column electrodes) ( Figure 6A). Here, we assume that noise is independent between sensors, i.e., noise is all on the sensor.…”

Section: Technological Optimizationmentioning

confidence: 99%

Spatial Information in Large-Scale Neural Recordings

Cybulski¹,

Glaser²,

Marblestone

et al. 2014

Preprint

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To record from a given neuron, a recording technology must be able to separate the activity of that neuron from the activity of its neighbors. Here, we develop a Fisher information based framework to determine the conditions under which this is feasible for a given technology. This framework combines measurable point spread functions with measurable noise distributions to produce theoretical bounds on the precision with which a recording technology can localize neural activities. If there is sufficient information to uniquely localize neural activities, then a technology will, from an information theoretic perspective, be able to record from these neurons. We (1) describe this framework, and (2) demonstrate its application in model experiments. This method generalizes to many recording devices that resolve objects in space and should be useful in the design of next-generation scalable neural recording systems.

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Three-dimensional multiwaveguide probe array for light delivery to distributed brain circuits

Cited by 169 publications

References 12 publications

Modal demultiplexing properties of tapered and nanostructured optical fibers for in vivo optogenetic control of neural activity

Modal demultiplexing properties of tapered and nanostructured optical fibers for in vivo optogenetic control of neural activity

Toward biomaterial-based implantable photonic devices

Spatial Information in Large-Scale Neural Recordings

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