ONIX: a unified open-source platform for multimodal neural recording and perturbation during naturalistic behavior

Behavioral neuroscience faces two conflicting demands: long-duration recordings from large neural populations and unimpeded animal behavior. To meet this challenge we developed ONIX, an open-source data acquisition system with high data throughput (2 GB s<sup>-1</sup>) and low closed-loop latencies (<1 ms) that uses a 0.3-mm thin tether to minimize behavioral impact. Head position and rotation are tracked in three dimensions and used to drive active commutation without torque measurements. ONIX can acquire data from combinations of passive electrodes, Neuropixels probes, head-mounted microscopes, cameras, three-dimensional trackers and other data sources. We performed uninterrupted, long (~7 h) neural recordings in mice as they traversed complex three-dimensional terrain, and multiday sleep-tracking recordings (~55 h). ONIX enabled exploration with similar mobility as nonimplanted animals, in contrast to conventional tethered systems, which have restricted movement. By combining long recordings with full mobility, our technology will enable progress on questions that require high-quality neural recordings during ethologically grounded behaviors.

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Publication Details

Journal
Nature Methods
Published
2024-11-11
DOI
https://doi.org/10.1038/s41592-024-02521-1
Citations
24
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
7.54
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article

ONIX: a unified open-source platform for multimodal neural recording and perturbation during naturalistic behavior

Alexandra H. Leighton, Filipe Carvalho, Joshua H. Siegle, Nicholas J. Miller et al.
24 citations
Nature Methods
Neural dynamics and brain function
7.54
article

ONIX: a unified open-source platform for multimodal neural recording and perturbation during naturalistic behavior

Alexandra H. Leighton, Filipe Carvalho, Joshua H. Siegle, Nicholas J. Miller, Jonathan P. Newman, Mark T. Harnett, Anna Lakunina, Aarón Cuevas-López, Takato Honda, Jakob Voigts, Marie-Sophie H. van der Goes, Gonçalo Lopes, Jie Zhang, Matthew Wilson
article en
24 citations

Abstract

Behavioral neuroscience faces two conflicting demands: long-duration recordings from large neural populations and unimpeded animal behavior. To meet this challenge we developed ONIX, an open-source data acquisition system with high data throughput (2 GB s<sup>-1</sup>) and low closed-loop latencies (<1 ms) that uses a 0.3-mm thin tether to minimize behavioral impact. Head position and rotation are tracked in three dimensions and used to drive active commutation without torque measurements. ONIX can acquire data from combinations of passive electrodes, Neuropixels probes, head-mounted microscopes, cameras, three-dimensional trackers and other data sources. We performed uninterrupted, long (~7 h) neural recordings in mice as they traversed complex three-dimensional terrain, and multiday sleep-tracking recordings (~55 h). ONIX enabled exploration with similar mobility as nonimplanted animals, in contrast to conventional tethered systems, which have restricted movement. By combining long recordings with full mobility, our technology will enable progress on questions that require high-quality neural recordings during ethologically grounded behaviors.

Nature MethodsVol. 22(1)
McGovern Institute for Brain Research (US), Janelia Research Campus (US), Open Geospatial Consortium (US), Open Ephys Production Site (Portugal) (PT), Institute of Cognitive and Brain Sciences (US), Allen Institute (US), Allen Institute for Neural Dynamics (US), Universitat Politècnica de València (ES)
Openalex Percentile: Top 2%
Neural dynamics and brain function
7.54
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