Application of Spike Sorting Algorithm to Neuronal Signals Originated from Boron Doped Diamond Micro-Electrode Arrays
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985823%3A_____%2F20%3A00531509" target="_blank" >RIV/67985823:_____/20:00531509 - isvavai.cz</a>
Alternative codes found
RIV/68378271:_____/20:00531509 RIV/68407700:21460/20:00342360
Result on the web
<a href="http://www.biomed.cas.cz/physiolres/pdf/2020/69_529.pdf" target="_blank" >http://www.biomed.cas.cz/physiolres/pdf/2020/69_529.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.33549/physiolres.934366" target="_blank" >10.33549/physiolres.934366</a>
Alternative languages
Result language
angličtina
Original language name
Application of Spike Sorting Algorithm to Neuronal Signals Originated from Boron Doped Diamond Micro-Electrode Arrays
Original language description
In this work we report on the implementation of methods for data processing signals from microelectrode arrays (MEA) and the application of these methods for signals originated from two types of MEAs to detect putative neurons and sort them into subpopulations. We recorded electrical signals from firing neurons using titanium nitride (TiN) and boron doped diamond (BDD) MEAs. In previous research, we have shown that these methods have the capacity to detect neurons using commercially-available TiN-MEAs. We have managed to cultivate and record hippocampal neurons for the first time using a newly developed custom-made multichannel BDD-MEA with 20 recording sites. We have analysed the signals with the algorithms developed and employed them to inspect firing bursts and enable spike sorting. We did not observe any significant difference between BDD- and TiN-MEAs over the parameters, which estimated spike shape variability per each detected neuron. This result supports the hypothesis that we have detected real neurons, rather than noise, in the BDD-MEA signal. BDD materials with suitable mechanical, electrical and biocompatibility properties have a large potential in novel therapies for treatments of neural pathologies, such as deep brain stimulation in Parkinson's disease.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30103 - Neurosciences (including psychophysiology)
Result continuities
Project
<a href="/en/project/GA17-15319S" target="_blank" >GA17-15319S: Diamond based microelectrode arrays for dual mode neural recording</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Physiological Research
ISSN
0862-8408
e-ISSN
—
Volume of the periodical
69
Issue of the periodical within the volume
3
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
8
Pages from-to
529-536
UT code for WoS article
000551270100018
EID of the result in the Scopus database
2-s2.0-85088495161