Multi-day neuron tracking in high-density electrophysiology recordings using earth mover’s distance

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eLife. 2024-07-10;. doi: 10.7554/eLife.92495.3

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Multi-day neuron tracking in high-density electrophysiology recordings using earth mover’s distance Harris Lab

Yuan Augustine, Colonell Jennifer, Lebedeva Anna, Charles Adam, Harris Timothy

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Abstract

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.

PMID: 38985568 [PubMed - indexed for MEDLINE]

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bioRxiv PrePrint https://doi.org/10.1101/2023.08.03.551724

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Multi-day neuron tracking in high-density electrophysiology recordings using earth mover’s distance

Abstract

PMID: 38985568 [PubMed - indexed for MEDLINE]

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