Spike-sorting analysis of neural electrical signals evoked by acupuncture based on model.
Action potential
Acupuncture
Neural electrical signal
Sorting
Journal
Cognitive neurodynamics
ISSN: 1871-4080
Titre abrégé: Cogn Neurodyn
Pays: Netherlands
ID NLM: 101306907
Informations de publication
Date de publication:
Feb 2021
Feb 2021
Historique:
received:
18
01
2020
revised:
06
10
2020
accepted:
24
10
2020
entrez:
31
3
2021
pubmed:
1
4
2021
medline:
1
4
2021
Statut:
ppublish
Résumé
Acupuncturing the Zusanli (ST 36) point with different types of manual acupuncture manipulations (MAs) and different frequencies can evoke a lot of neural response activities in spinal dorsal root neurons. The action potential is the basic unit of communication in the neural response process. With the rapid development of the electrode acquisition technology, we can simultaneously obtain neural electrical signals of multiple neurons in the target area. So it is crucial to extract spike trains of each neuron from raw recorded data. To solve the problem of variability of the spike waveform, this paper adopts a optimization algorithm based on model to improve the wave-cluster algorithm, which can provide higher accuracy and reliability. Further, through this optimization algorithm, we make a statistical analysis on spike events evoked by different MAs. Results suggest that numbers of response spikes under reinforcing manipulations are far more than reducing manipulations, which mainly embody in synchronous spike activities.
Identifiants
pubmed: 33786084
doi: 10.1007/s11571-020-09650-1
pii: 9650
pmc: PMC7947133
doi:
Types de publication
Journal Article
Langues
eng
Pagination
131-140Informations de copyright
© Springer Nature B.V. 2020.
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