ArticleeLife2025
Longitudinal tracking of neuronal activity from the same cells in the developing brain using Track2p.
Article in eLife, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Stars2Cells: Astrometric Tracking of Neurons Across Imaging Sessions.bioRxiv : the preprint server for biology · 2026Article
- Growth-adaptive spring electronics for long-term, same-neuron mapping in the developing rat brain.bioRxiv : the preprint server for biology · 2026Article
- Three-photon imaging of hippocampal neurogenesis through the intact mouse brain.Research square · 2025Article
- Longitudinal tracking of neuronal activity from the same cells in the developing brain using Track2p.eLife · 2025Article
- Keeping track of moving targets.eLife · 2025Article
- Development of spontaneous and sensory evoked network activity in rodent cerebral cortexFrontiers in cellular neuroscience · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Understanding cortical circuit development requires tracking neuronal activity across days in the growing brain. While in vivo calcium imaging now enables such longitudinal studies, automated tools for reliably tracking large populations of neurons across sessions remain limited. Here, we present a novel cell tracking method based on sequential image registration, validated on calcium imaging data from the barrel cortex of mouse pups over 1 postnatal week. Our approach enables robust long-term analysis of several hundreds of individual neurons, allowing quantification of neuronal dynamics and representational stability over time. Using this method, we identified a key developmental transition in neuronal activity statistics, marking the emergence of arousal state modulation. Beyond this key finding, our method provides an essential tool for tracking developmental trajectories of individual neurons, which could help identify potential deviations associated with neurodevelopmental disorders.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.