Chronic, Wireless Recordings of Large Scale Brain Activity in Freely Moving Rhesus Monkeys

By David A. Schwarz, Mikhail A. Lebedev, Timothy L Hanson, Dragan F. Dimitrov, G. Lehew, J. Meloy, Sankaranarayani Rajangam, Vivek Subramanian, Peter J. Ifft, Zheng Li and 4 more. Nature Methods, 2014

350 citations recorded by the source corpus.

Advances in techniques for recording large-scale brain activity contribute to both the elucidation of neurophysiological principles and the development of brain-machine interfaces (BMIs). Here we describe a neurophysiological paradigm for performing tethered and wireless large-scale recordings based on movable volumetric three-dimensional (3D) multielectrode implants. This approach allowed us to isolate up to 1,800 neurons (units) per animal and simultaneously record the extracellular activity of close to 500 cortical neurons, distributed across multiple cortical areas, in freely behaving rhesus monkeys. The method is expandable, in principle, to thousands of simultaneously recorded channels. It also allows increased recording longevity (5 consecutive years) and recording of a broad range of behaviors, such as social interactions, and BMI paradigms in freely moving primates. We propose that wireless large-scale recordings could have a profound impact on basic primate neurophysiology research while providing a framework for the development and testing of clinically relevant neuroprostheses.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/bc5f54051e858dc8b9bcdb738ddba9e13fac5c9f

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Citations in the corpus

Inverse statistical problems: from the inverse Ising problem to data science (2017, background): “Given that the firing patterns of thousands of neurons can be recorded simultaneously [198], the number of observations M will generally be far less than the total number of possible neural configurations, M 2 .”
Wireless Recording in the Peripheral Nervous System with Ultrasonic Neural Dust. (2016, positive): “…wireless devices to enable untethered recording in rodents (Lee et al., 2013; Szuts et al., 2011) and nonhuman primates (Foster et al., 2014; Schwarz et al., 2014; Yin et al., 2014), as well as mm-scale integrated circuits for neurosensing applications have been developed (Biederman et al.,…”
Past, present and future of spike sorting techniques (2015, neutral): “Then, templates can be defined for each channel and send back to the chip, so that new spikes can be sorted automatically ‘on-chip’ using template matching (Navajas et al., 2014; Schwarz et al., 2014).”
Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation. (2017, methodology): “Our latest configuration of this technology is defined by so-called volumetric, movable implants, named recording cubes, introduced by our laboratory over the past 3 years (FIGURE 2) (711).”