Closed-loop optical neural stimulation based on a 32-channel low-noise recording system with online spike sorting

Nguyen, Thi Kim Thoa; Navratilova, Zaneta; Cabral, Henrique; Wang, Ling; Gielen, Georges; Battaglia, Francesco P.; Bartic, Carmen

doi:10.1088/1741-2560/11/4/046005

Cited by 45 publications

(31 citation statements)

References 44 publications

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“…Future designs will allow for sensing and power control based on measured bioelectric signals 24 as well as multiple light colors to match the vast array of available spectrum-sensitive opsins 25–27 . Many untried targets, including deeper regions of the brain, other peripheral nerves, nerve plexuses and ganglia 28,29 , may now be amenable to targeting with this wireless technology with only minimal modification to the original device.…”

Section: Discussionmentioning

confidence: 99%

Wirelessly powered, fully internal optogenetics for brain, spinal and peripheral circuits in mice

et al. 2015

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To enable sophisticated optogenetic manipulation of neural circuits throughout the nervous system with limited disruption of animal behavior, light-delivery systems beyond fiber optic tethering and large, head-mounted wireless receivers are desirable. We report the development of an easy-to-construct, implantable wireless optogenetic device. Our smallest version (20 mg, 10 mm3) is two orders of magnitude smaller than previously reported wireless optogenetic systems, allowing the entire device to be implanted subcutaneously. With a radio-frequency (RF) power source and controller, this implant produces sufficient light power for optogenetic stimulation with minimal tissue heating (<1 °C). We show how three adaptations of the implant allow for untethered optogenetic control throughout the nervous system (brain, spinal cord and peripheral nerve endings) of behaving mice. This technology opens the door for optogenetic experiments in which animals are able to behave naturally with optogenetic manipulation of both central and peripheral targets.

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Section: Discussionmentioning

confidence: 99%

Wirelessly powered, fully internal optogenetics for brain, spinal and peripheral circuits in mice

et al. 2015

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“…To stimulate and record from multiple sites, multiple-input multiple output (MIMO) systems for electrical readout and optogenetic control now include multishank silicon probes with integrated light guides or diodes (Stark et al, 2012; Royer et al, 2010), Utah-slant optrode arrays (Abaya et al, 2012a), glass optrode arrays (Abaya et al, 2012b), optical fiber bundles bundled with multiple electrodes (Hayashi et al, 2012), and multipoint emitting tapered optical fibers combined with silicon probes (Pisanello et al, 2014; Figures 2G–2J). Feasibility for spike-detecting, closed-loop SIMO control has recently been demonstrated (Nguyen et al, 2014) using template matching to do online spike detection on 32-channel tetrode recordings (system outputs) and using detected spikes to control optogenetic stimulation through a single fiber optic (system input) at ~8 ms closed-loop latency in awake rats.…”

Section: Electrical/optical Devices Enabling Closed-loop Control In Rmentioning

confidence: 99%

Closed-Loop and Activity-Guided Optogenetic Control

Grosenick

Marshel

Deisseroth

2015

Neuron

344

322

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Advances in optical manipulation and observation of neural activity have set the stage for widespread implementation of closed-loop and activity-guided optical control of neural circuit dynamics. Closing the loop optogenetically (i.e., basing optogenetic stimulation on simultaneously observed dynamics in a principled way) is a powerful strategy for causal investigation of neural circuitry. In particular, observing and feeding back the effects of circuit interventions on physiologically relevant timescales is valuable for directly testing whether inferred models of dynamics, connectivity, and causation are accurate in vivo. Here we highlight technical and theoretical foundations as well as recent advances and opportunities in this area, and we review in detail the known caveats and limitations of optogenetic experimentation in the context of addressing these challenges with closed-loop optogenetic control in behaving animals.

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“…It is often impossible to predict which algorithms will work best before the experiments have been run. An example of this is online spike sorting, which allows researchers to analyze the activity of single neurons during an experiment 33–35 . A few commercial systems already implement spike sorting using algorithms that may not be fully disclosed.…”

Section: Electrophysiology Is Well-suited For An Open Development Modelmentioning

confidence: 99%

Neural ensemble communities: open-source approaches to hardware for large-scale electrophysiology

Siegle¹,

Hale²,

Newman³

et al. 2015

Current Opinion in Neurobiology

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One often-overlooked factor when selecting a platform for large-scale electrophysiology is whether or not a particular data acquisition system is “open” or “closed”: that is, whether or not the system’s schematics and source code are available to end users. Open systems have a reputation for being difficult to acquire, poorly documented, and hard to maintain. With the arrival of more powerful and compact integrated circuits, rapid prototyping services, and web-based tools for collaborative development, these stereotypes must be reconsidered. We discuss some of the reasons why multichannel extracellular electrophysiology could benefit from open-source approaches and describe examples of successful community-driven tool development within this field. In order to promote the adoption of open-source hardware and to reduce the need for redundant development efforts, we advocate a move toward standardized interfaces that connect each element of the data processing pipeline. This will give researchers the flexibility to modify their tools when necessary, while allowing them to continue to benefit from the high-quality products and expertise provided by commercial vendors.

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Closed-loop optical neural stimulation based on a 32-channel low-noise recording system with online spike sorting

Abstract: A total processing time of 8 ms is achieved, suitable for optogenetic studies of brain mechanisms online.

Cited by 45 publications

References 44 publications

Wirelessly powered, fully internal optogenetics for brain, spinal and peripheral circuits in mice

Wirelessly powered, fully internal optogenetics for brain, spinal and peripheral circuits in mice

Closed-Loop and Activity-Guided Optogenetic Control

Neural ensemble communities: open-source approaches to hardware for large-scale electrophysiology

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