Detection and Removal of Hyper-synchronous Artifacts in Massively Parallel Spike Recordings.

Overview

1. Institute for Advanced Simulation (IAS-6), Jülich Research Centre, Jülich 52425, Germany
2. RWTH Aachen University, Aachen 52062, Germany
3. Faculty of Mathematics and Physics, Charles University, Prague 12116, Czechia
4. Institut de Neurosciences de la Timone (INT), Aix-Marseille Université, CNRS, Marseille 13005, France
5. Institute of Biological Information Processing (IBI-3), Jülich Research Centre, Jülich 52425, Germany
6. Institute of Biology 2, RWTH Aachen University, Aachen 52074, Germany
7. Faculty of Medicine, Institute of Experimental Epileptology and Cognition Research, University of Bonn, Bonn 53127, Germany
8. JARA Brain Institute I (INM-10), Jülich Research Centre, Jülich 52425, Germany
9. Theoretical Systems Neurobiology, RWTH Aachen University, Aachen 52056, Germany

Abstract

Contemporary electrophysiology experiments often involve massively parallel recordings of neuronal activity using multi-electrode arrays. While researchers have been aware of artifacts arising from electric cross-talk between channels in setups for such recordings, systematic and quantitative assessment of the effects of those artifacts on the data quality has never been reported. Here we present, based on examination of electrophysiology recordings from multiple laboratories, that multi-electrode recordings of spiking activity commonly contain extremely precise (at the data sampling resolution) spike coincidences far above the chance level. The recordings analyzed here were obtained from two rhesus macaques (Macaca mulatta; one male, one female) and one male mouse (C57BL/6J). We derive, through modeling of the electric cross-talk, a systematic relation between the amount of such hyper-synchronous events (HSEs) in channel pairs and the correlation between the raw signals of those channels in the multi-unit activity frequency range (500–7,500 Hz). We show that whitening the band-pass filtered raw signals removes the above chance HSEs; strongly suggesting they originate from linear mixing of signals. Whitening should therefore be performed prior to spike sorting and any further analysis of precise spike correlation, otherwise analysis results may be considerably affected.

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Recorded: type, language, journal, volume, issue, pages, dates, 11 authors, 6 keywords, 9 MeSH terms, 5 funders, 49 references, 1 RRID.

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This paper

Oberste-Frielinghaus, J., Morales-Gregorio, A., Essink, S., Kleinjohann, A., Köhler, C. A., Barthélemy, F., Riehle, A., Brochier, T., Musall, S., Ito, J., & Grün, S. (2026). Detection and Removal of Hyper-synchronous Artifacts in Massively Parallel Spike Recordings. The Journal of neuroscience : the official journal of the Society for Neuroscience, 46(35), e0295262026. https://doi.org/10.1523/jneurosci.0295-26.2026

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