Skip to content
Licensed Unlicensed Requires Authentication Published by De Gruyter October 11, 2013

In vivo validation of the electronic depth control probes

  • Balázs Dombovári , Richárd Fiáth , Bálint Péter Kerekes , Emília Tóth , Lucia Wittner , Domonkos Horváth , Karsten Seidl , Stanislav Herwik , Tom Torfs , Oliver Paul , Patrick Ruther , Herc Neves and István Ulbert EMAIL logo

Abstract

In this article, we evaluated the electrophysiological performance of a novel, high-complexity silicon probe array. This brain-implantable probe implements a dynamically reconfigurable voltage-recording device, coordinating large numbers of electronically switchable recording sites, referred to as electronic depth control (EDC). Our results show the potential of the EDC devices to record good-quality local field potentials, and single- and multiple-unit activities in cortical regions during pharmacologically induced cortical slow wave activity in an animal model.


Corresponding author: István Ulbert, Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest, Hungary-1025, E-mail: ; and Faculty of Information Technology, Pázmány Péter Catholic University, Budapest, Hungary-1083

Acknowledgments

NeuroProbes EU FP6, ANR/NKTH Neurogen, ANR/NKTH Multisca, OTKA 81357, OTKA PD77864, TÁMOP-4.2.1.B-11/2/KMR-2011-0002, Bolyai Research Fellowship.

References

[1] Campbell PK, Jones KE, Huber RJ, Horch KW, Normann RA. A silicon-based, three-dimensional neural interface: manufacturing processes for an intracortical electrode array. IEEE Trans Biomed Eng 1991; 38: 758–768.Search in Google Scholar

[2] Chauvette S, Volgushev M, Timofeev I. Origin of active states in local neocortical networks during slow sleep oscillation. Cereb Cortex 2010; 20: 2660–2674.Search in Google Scholar

[3] Csercsa R, Dombovári B, Fabó D, et al. Laminar analysis of slow wave activity in humans. Brain 2010; 133: 2814–2829.Search in Google Scholar

[4] Csicsvari J, Hirase H, Czurko A, Buzsaki G. Reliability and state dependence of pyramidal cell-interneuron synapses in the hippocampus: an ensemble approach in the behaving rat. Neuron 1998; 21: 179–189.Search in Google Scholar

[5] Delorme A, Makeig S. EEGLAB: an open source toolbox for analysis of single trial EEG dynamics including independent component analysis. J Neurosci Methods 2004; 134: 9–21.Search in Google Scholar

[6] Grand L, Wittner L, Herwik S, et al. Short and long term biocompatibility of NeuroProbes silicon probes. J Neurosci Methods 2010; 189: 216–229.Search in Google Scholar

[7] Harris KD, Henze DA, Csicsvari J, Hirase H, Buzsaki G. Accuracy of tetrode spike separation as determined by simultaneous intracellular and extracellular measurements. J Neurophysiol 2000; 84: 401–414.Search in Google Scholar

[8] Heitler JW. DataView v5: software for the display and analysis of digital signals in neurophysiology. 2006.Search in Google Scholar

[9] Karmos G, Molnar M, Csepe V. A new multielectrode for chronic recording of intracortical field potentials in cats. Physiol Behav 1982; 29: 567–571.Search in Google Scholar

[10] Kubie JL. A driveable bundle of microwires for collecting single-unit data from freely-moving rats. Physiol Behav 1984; 32: 115–118.Search in Google Scholar

[11] McNaughton BL, O’Keefe J, Barnes CA. The stereotrode: a new technique for simultaneous isolation of several single units in the central nervous system from multiple unit records. J Neurosci Methods 1983; 8: 391–397.Search in Google Scholar

[12] Neves HP, Torfs T, Yazicioglu RF, et al. The NeuroProbes project: a concept for electronic depth control. In: 30th International IEEE EMBS Conference, Vancouver, Canada, 2008: 1857.Search in Google Scholar

[13] O’Keefe J, Recce ML. Phase relationship between hippocampal place units and the EEG theta rhythm. Hippocampus 1993; 3: 317–330.Search in Google Scholar

[14] Paxinos G, Watson CH. The rat brain in stereotaxic coordinates. San Diego, CA: Academic Press 1998.Search in Google Scholar

[15] Ruther P, Herwik S, Kisban S, Seidl K, Paul O. Recent Progress in Neural Probes Using Silicon MEMS Technology. IEEJ Trans Elec Electron Eng 2010; 5: 505–515.Search in Google Scholar

[16] Sakata S, Harris KD. Laminar structure of spontaneous and sensory-evoked population activity in auditory cortex. Neuron 2008; 64: 404–418.Search in Google Scholar

[17] Seidl K, Herwik S, et al. CMOS-based high-density silicon microprobe arrays for electronic depth control in intracortical neural recording. J microelectromech Syst 2011; 20: 1439–1448.Search in Google Scholar

[18] Seidl K, Torfs T, Mazière PA, et al. Control and data acquisition software for high-density CMOS-based microprobe arrays implementing electronic depth control. Biomed Tech (Berl) 2010; 55: 183–191.Search in Google Scholar

[19] Seidl K, Schwaerzle M, Ulbert I, Neves HP, Paul O, Ruther P. CMOS-based high-density silicon microprobe arrays for electronic depth control in intracortical neural recording – characterization and application. IEEE J MicroElectromech Syst 2012; 21: 1426–1435.Search in Google Scholar

[20] Torfs T, Aarts A, Erismis M, et al. Two-dimensional multi-channel neural probes with electronic depth control. IEEE Trans Biomed Circ Syst 2011; 5: 403–412.Search in Google Scholar

[21] Wilson MA, McNaughton BL. Dynamics of the hippocampal ensemble code for space. Science 1993; 261: 1055–1058.Search in Google Scholar

[22] Wise KD, Angell JB, Starr A. An integrated-circuit approach to extracellular microelectrodes. IEEE Trans Biomed Eng 1970; 17: 238–247.Search in Google Scholar

Received: 2013-5-23
Accepted: 2013-8-30
Published Online: 2013-10-11
Published in Print: 2014-8-1

©2014 by De Gruyter

Downloaded on 29.3.2024 from https://www.degruyter.com/document/doi/10.1515/bmt-2012-0102/html
Scroll to top button