Lightweight Adaptive and Recoverable Implants (LARI) for Chronic Single and Dual Neuropixels 2.0 Recordings for Naturalistic Behaviors in Feature-Rich Environments
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Le résumé fourni par la source
Understanding the neural mechanisms underlying naturalistic decision-making requires chronic, high-quality neural recordings from distributed brain regions in freely behaving animals. However, existing silicon probe implants for mice are limited by weight, fragility, lack of independent probe adjustment, and poor suitability for long-term recordings in complex environments. Here we introduce LARI-1.0 (Lightweight Adjustable and Reusable Implant) and LARI-mini, two Neuropixels 2.0 implant systems designed for stable, recoverable, and independently adjustable single- and dual-probe recordings in mice. LARI-1.0 enables independent vertical and lateral positioning of two probes, while LARI-mini provides a lighter single-probe alternative, reducing implant mass by ~20%. Fully assembled weights of ~2.3 g (LARI-1.0) and ~1.5 g (LARI-mini) remain within 10% and 7.5% of adult male mouse body weight, respectively. We validated implant performance in a custom feature-rich naturalistic foraging environment that elicited full-body movements, rapid elevation changes, and ethological foraging behaviors across fed, fasted, and high-fat diet states. Both implants exhibited excellent mechanical stability, minimal motion-related artifacts, and probe drift comparable to previous studies. High-quality single-unit activity with stable waveform features, 5-6× signal-to-noise ratios, and no systematic loss of well-isolated units was maintained for up to 180 days. These results demonstrate that LARI-1.0 and LARI-mini provide lightweight, durable, and customizable implant solutions enabling long-term, high-fidelity neural recordings during naturalistic behavior.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Lightweight Adaptive and Recoverable Implants (LARI) for Chronic Single and Dual Neuropixels 2.0 Recordings for Naturalistic Behaviors in Feature-Rich Environments
- Date Crossref
- 14/01/2026
- Éditeur
- openRxiv
- Type
- posted-content
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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University of Utah pays non établi dans la noticeUniversité ou école supérieure
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School of Medicine Department of neurobiology and anatomy pays non établi dans la noticeUniversité ou école supérieure
University of Utah et Department of neurobiology and anatomy — School of Medicine.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.