Chronically-implanted Neuropixels probes enable high yield recordings in freely moving mice

Juavinett, Ashley L.; Bekheet, George; Churchland, Anne K.

doi:10.1038/protex.2018.100

Cited by 19 publications

(24 citation statements)

References 8 publications

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“…NP 2.0 probes are optimized for high-yield chronic implants in small mammals. To confirm the quality of NP 2.0 recording characteristics over at least 8 weeks, as done for NP 1.0 probes (Jun et al, 2017;Juavinett et al, 2019;Luo et al, 2020), we implanted NP 2.0 probes in rats and mice in 6 labs. Out of 21 subjects implanted across the 6 labs, 20 implants were successful and recorded neurons until the experiment was ended at the discretion of the experimenter (see Table 1 for details).…”

Section: Resultsmentioning

confidence: 99%

“…These limitations have precluded the use of many large-channel-count electrode arrays (Shobe et al, 2015;Rios et al, 2016;Scholvin et al, 2016). Even with the relatively small Neuropixels probe, which permits chronic recording in freely-moving mice, some impediments to movement have been observed (Juavinett et al, 2019), indicating the need for still smaller devices.…”

Section: Introductionmentioning

confidence: 99%

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Neuropixels 2.0: A miniaturized high-density probe for stable, long-term brain recordings

Steinmetz

Aydın

Лебедева

et al. 2020

Preprint

145

204

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To study the dynamics of neural processing across timescales, we require the ability to follow the spiking of thousands of individually separable neurons over weeks and months, during unrestrained behavior. To address this need, we introduce the Neuropixels 2.0 probe together with novel analysis algorithms. The new probe has over 5,000 sites and is miniaturized such that two probes plus a headstage, recording 768 sites at once, weigh just over 1 g, suitable for implanting chronically in small mammals. Recordings with high quality signals persisting for at least two months were reliably obtained in two species and six different labs. Improved site density and arrangement combined with new data processing methods enable automatic post-hoc stabilization of data despite brain movements during behavior and across days, allowing recording from the same neurons in the mouse visual cortex for over 2 months. Additionally, an optional configuration allows for recording from multiple sites per available channel, with a penalty to signal-to-noise ratio. These probes and algorithms enable stable recordings from >10,000 sites during free behavior in small animals such as mice.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Neuropixels 2.0: A miniaturized high-density probe for stable, long-term brain recordings

Steinmetz

Aydın

Лебедева

et al. 2020

Preprint

145

204

View full text Add to dashboard Cite

show abstract

“…As an alternative, we adopted non-synchronizing, weak sensory drive (Bruno and Sakmann 2006;Wang et al 2010) to assess likely connectivity through spike cross-correlation analysis. Although this approach obviously does not address issues of causality directly, it scales with increasing size of population recordings in the pre-and post-synaptic regions, opening up the possibility for assessing connectivity using large, ensemble recordings (Juavinett et al 2018). The systematic evaluation of the parameters of analysis presented here offers the potential for the optimization of experiment design for the purpose of assessing connectivity.…”

Section: Discussionmentioning

confidence: 99%

Inferring Thalamocortical Monosynaptic Connectivity In-Vivo

Liew

Pala

Whitmire

et al. 2020

Preprint

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Abstract/SummaryAs the tools to simultaneously record electrophysiological signals from large numbers of neurons within and across brain regions become increasingly available, this opens up for the first time the possibility of establishing the details of causal relationships between monosynaptically connected neurons and the patterns of neural activation that underlie perception and behavior. Although recorded activity across synaptically connected neurons has served as the cornerstone for much of what we know about synaptic transmission and plasticity, this has largely been relegated to ex-vivo preparations that enable precise targeting under relatively well-controlled conditions. Analogous studies in-vivo, where image-guided targeting is often not yet possible, rely on indirect, data-driven measures, and as a result such studies have been sparse and the dependence upon important experimental parameters has not been well studied. Here, using in-vivo extracellular single unit recordings in the topographically aligned rodent thalamocortical pathway, we sought to establish a general experimental and computational framework for inferring synaptic connectivity. Specifically, attacking this problem within a statistical signal-detection framework utilizing experimentally recorded data in the ventral-posterior medial (VPm) region of the thalamus and the homologous region in layer 4 of primary somatosensory cortex (S1) revealed a trade-off between network activity levels needed for the data-driven inference and synchronization of nearby neurons within the population that result in masking of synaptic relationships. Taken together, we provide a framework for establishing connectivity in multi-site, multi-electrode recordings based on statistical inference, setting the stage for large-scale assessment of synaptic connectivity within and across brain structures.New & NoteworthyDespite the fact that all brain function relies on the long-range transfer of information across different regions, the tools enabling us to measure connectivity across brain structures are lacking. Here, we provide a statistical framework for identifying and assessing potential monosynaptic connectivity across neuronal circuits from population spiking activity that generalizes to large-scale recording technologies that will help us to better understand the signaling within networks that underlies perception and behavior.

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“…This is a stiff silicon electrode array with 960 sites spaced at 20 µm. The array has been demonstrated for highdensity single-unit recording in the brains of both head-fixed and chronic freely-behaving mice [28], [29]. While the challenges of implanting, fixing, and recording in DRG are very different from brain, the data processing goals and requirements can be very similar.…”

Section: Discussionmentioning

confidence: 99%

High-density Neural Recordings from Feline Sacral Dorsal Root Ganglia with Thin-film Array

Sperry

Jun

et al. 2020

Preprint

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Dorsal root ganglia (DRG) are promising sites for recording sensory activity. Current technologies for DRG recording are stiff and typically do not have sufficient site density for high-density neural data techniques. We demonstrate neural recordings in feline sacral DRG using a flexible polyimide microelectrode array with 30-40 μm site spacing. We delivered arrays into DRG with ultrananocrystalline diamond shuttles designed for high stiffness with small footprint. We recorded neural activity during sensory activation, including cutaneous brushing and bladder filling. We successfully delivered arrays in 5/6 experiments and recorded sensory activity in 4. Median signal amplitude was 55 μV and the maximum unique units recorded at one array position was 260, with 157 driven by sensory or electrical stimulation. We used specialized high-density neural signal analysis software to sort neural signals and, in one experiment, track 8 signals as the array was retracted ~500 μm. This study is the first demonstration of ultrathin, flexible, high-density electronics delivered into DRG, with capabilities for recording and tracking sensory information that are a significant improvement over conventional DRG interfaces.

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Chronically-implanted Neuropixels probes enable high yield recordings in freely moving mice

Cited by 19 publications

References 8 publications

Neuropixels 2.0: A miniaturized high-density probe for stable, long-term brain recordings

Neuropixels 2.0: A miniaturized high-density probe for stable, long-term brain recordings

Inferring Thalamocortical Monosynaptic Connectivity In-Vivo

High-density Neural Recordings from Feline Sacral Dorsal Root Ganglia with Thin-film Array

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