Application of floating silicon-based linear multielectrode arrays for acute recording of single neuron activity in awake behaving monkeys
-
Luca Bonini
, Monica Maranesi
, Alessandro Livi , Stefania Bruni , Leonardo Fogassi , Tobias Holzhammer , Oliver Paul und Patrick Ruther
Abstract
One of the fundamental challenges in behavioral neurophysiology in awake animals is the steady recording of action potentials of many single neurons for as long as possible. Here, we present single neuron data obtained during acute recordings mainly from premotor cortices of three macaque monkeys using a silicon-based linear multielectrode array. The most important aspect of these probes, compared with similar models commercially available, is that, once inserted into the brain using a dedicated insertion device providing an intermediate probe fixation by means of vacuum, they can be released and left floating in the brain. On the basis of our data, these features appear to provide (i) optimal physiological conditions for extracellular recordings, (ii) good or even excellent signal-to-noise ratio depending on the recorded brain area and cortical layer, and (iii) extreme stability of the signal over relatively long periods. The quality of the recorded signal did not change significantly after several penetrations into the same restricted cortical sector, suggesting limited tissue damage due to probe insertion. These results indicate that these probes offer several advantages for acute neurophysiological experiments in awake monkeys, and suggest the possibility to employ them for semichronic or even chronic studies.
Acknowledgments
The work was supported by the European Commission grants NeuroProbes (IST-027017) and Cogsystems (FP7-250013), by the Italian MIUR (PRIN n. 2008J7YFNR_003), and by the Italian Institute of Technology (IIT).
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©2014 by De Gruyter
Artikel in diesem Heft
- Frontmatter
- Editorial
- Neural probes – microsystems to interface with the brain
- Special issue articles
- Application of floating silicon-based linear multielectrode arrays for acute recording of single neuron activity in awake behaving monkeys
- In vivo validation of the electronic depth control probes
- Approaches for drug delivery with intracortical probes
- Multisite monitoring of choline using biosensor microprobe arrays in combination with CMOS circuitry
- Influence of bio-coatings on the recording performance of neural electrodes
- Review
- Review of machine learning and signal processing techniques for automated electrode selection in high-density microelectrode arrays
- Research articles
- Non-invasive determination of respiratory effort in spontaneous breathing and support ventilation: a validation study with healthy volunteers
- Synchronization analysis between heart rate variability and EEG activity before, during, and after epileptic seizure
- Automated detection of circinate exudates in retina digital images using empirical mode decomposition and the entropy and uniformity of the intrinsic mode functions
Artikel in diesem Heft
- Frontmatter
- Editorial
- Neural probes – microsystems to interface with the brain
- Special issue articles
- Application of floating silicon-based linear multielectrode arrays for acute recording of single neuron activity in awake behaving monkeys
- In vivo validation of the electronic depth control probes
- Approaches for drug delivery with intracortical probes
- Multisite monitoring of choline using biosensor microprobe arrays in combination with CMOS circuitry
- Influence of bio-coatings on the recording performance of neural electrodes
- Review
- Review of machine learning and signal processing techniques for automated electrode selection in high-density microelectrode arrays
- Research articles
- Non-invasive determination of respiratory effort in spontaneous breathing and support ventilation: a validation study with healthy volunteers
- Synchronization analysis between heart rate variability and EEG activity before, during, and after epileptic seizure
- Automated detection of circinate exudates in retina digital images using empirical mode decomposition and the entropy and uniformity of the intrinsic mode functions