What we can and what we cannot see with extracellular multielectrodes
Chaitanya ChintaluriiD, Marta BejtkaiD, Władysław ŚredniawaiD, Michał CzerwińskiiD, Jakub M. DzikiD, Joanna Jędrzejewska‐SzmekiD, Kacper KondrakiewicziD, Ewa KublikiD, Daniel Krzysztof WojcikiD
Abstract
Extracellular recording is an accessible technique used in animals and humans to study the brain physiology and pathology. As the number of recording channels and their density grows it is natural to ask how much improvement the additional channels bring in and how we can optimally use the new capabilities for monitoring the brain. Here we show that for any given distribution of electrodes we can establish exactly what information about current sources in the brain can be recovered and what information is strictly unobservable. We demonstrate this in the general setting of previously proposed kernel Current Source Density method and illustrate it with simplified examples as well as using evoked potentials from the barrel cortex obtained with a Neuropixels probe and with compatible model data. Author SummaryEvery set of measurements is a window into reality rendering its incomplete or distorted picture. It is often difficult to relate the obtained representation of the world to underlying ground truth. Here we show, for brain electrophysiology, for arbitrary experimental setup (distribution of electrodes), and arbitrary analytical setup (function space of current source densities), that one can identify distributions of current sources which can be recovered precisely, and those which are invisible in the system. This shows what is and what is not observable in the studied system for a given setup, allows to improve the analysis results by modifying analytical setup, and facilitates interpretation of the measured sets of LFP, ECoG and EEG recordings.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 6
- FWCI
- 0.58
- Field percentile
- top 44%
- Organism
- Assay
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Revealing The Distribution Of Transmembrane Currents Along The Dendritic Tree Of A Neuron With Known Morphology From Extracellular Recordings
Dorottya Cserpán, Domokos Meszéna, … Daniel Krzysztof Wojcik·eLifePeer-reviewed·Nov 17, 2017
- Multi-Scale Neural Sources of EEG: Genuine, Equivalent, and Representative. A Tutorial Review
Paul L. Nunez, Michael D. Nunez, Ramesh Srinivasan·Brain TopographyPeer-reviewed·Jan 25, 2019
- BlueRecording: A Pipeline for the efficient calculation of extracellular recordings in large-scale neural circuit models
Joseph Tharayil, Jorge Blanco Alonso, … Michael Reimann·PLoS Computational BiologyPeer-reviewed·May 23, 2025
- Spatial filters - in search of the virtual electrode
Alain De Cheveigné A·Journal of NeurosciencePeer-reviewed·Feb 18, 2026
- kCSD-python, reliable current source density estimation with quality control
Chaitanya Chintaluri, Marta Bejtka, … Daniel Krzysztof Wojcik·PLoS Computational BiologyPeer-reviewed·Mar 14, 2024
- Polymer skulls with integrated transparent electrode arrays for cortex-wide opto-electrophysiological recordings
Preston D. Donaldson, Zahra S. Navabi, … Suhasa B. Kodandaramaiah·Advanced Healthcare MaterialsPeer-reviewed·Jul 23, 2022