Multi-day neuron tracking in high-density electrophysiology recordings using earth mover's distance.
Neuropixels
electrophysiology
mouse
neuroscience
single unit
tracking
Journal
eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614
Informations de publication
Date de publication:
10 Jul 2024
10 Jul 2024
Historique:
medline:
10
7
2024
pubmed:
10
7
2024
entrez:
10
7
2024
Statut:
epublish
Résumé
Accurate tracking of the same neurons across multiple days is crucial for studying changes in neuronal activity during learning and adaptation. Advances in high-density extracellular electrophysiology recording probes, such as Neuropixels, provide a promising avenue to accomplish this goal. Identifying the same neurons in multiple recordings is, however, complicated by non-rigid movement of the tissue relative to the recording sites (drift) and loss of signal from some neurons. Here, we propose a neuron tracking method that can identify the same cells independent of firing statistics, that are used by most existing methods. Our method is based on between-day non-rigid alignment of spike-sorted clusters. We verified the same cell identity in mice using measured visual receptive fields. This method succeeds on datasets separated from 1 to 47 days, with an 84% average recovery rate.
Identifiants
pubmed: 38985568
doi: 10.7554/eLife.92495
pii: 92495
doi:
pii:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : NINDS NIH HHS
ID : U01 NS115587
Pays : United States
Informations de copyright
© 2023, Yuan et al.
Déclaration de conflit d'intérêts
AY, JC, AL, MO, AC, TH No competing interests declared
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