Reusable, flexible, and lightweight chronic implants for Neuropixels probes.


Journal

bioRxiv : the preprint server for biology
Titre abrégé: bioRxiv
Pays: United States
ID NLM: 101680187

Informations de publication

Date de publication:
06 Aug 2023
Historique:
pubmed: 14 8 2023
medline: 14 8 2023
entrez: 14 8 2023
Statut: epublish

Résumé

Understanding neural processes such as memory formation, learning, or aging requires tracking the activity of neural populations across short and long time scales. Such longitudinal recordings can be achieved with chronically implanted Neuropixels probes. An ideal chronic implant should (1) allow stable recordings of neurons for weeks; (2) be light enough for use in small animals like mice; (3) allow reuse of the probes after explantation. In this initial preprint, we present the "Apollo Implant", an open-source and editable device that meets all these criteria and accommodates up to two Neuropixels 1.0 or 2.0 probes. The assembled implant comprises two modules: a recoverable "payload" module, and a "docking" module that is cemented to the skull. The design is readily adjustable: the distance between probes, angle of insertion, and depth of penetration can all be easily changed. We tested the implant across multiple labs, and in head-fixed and freely moving animals. The number of neurons recorded across days was stable, even after repeated implantations of the same probe. The Apollo implant thus provides an inexpensive, lightweight, and flexible solution for reusable chronic Neuropixels recordings.

Identifiants

pubmed: 37577563
doi: 10.1101/2023.08.03.551752
pmc: PMC10418246
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : NINDS NIH HHS
ID : U19 NS123716
Pays : United States

Auteurs

C Bimbard (C)

UCL Institute of Ophthalmology, University College London, London, UK.

F Takacs (F)

Sainsbury-Wellcome Center, University College London, London, UK.

J M J Fabre (JMJ)

UCL Queen Square Institute of Neurology, University College London, London, UK.

M D Melin (MD)

Department of Neurobiology, University of California Los Angeles, Los Angeles, California, USA.

N O'Neill (N)

UCL Queen Square Institute of Neurology, University College London, London, UK.

M Robacha (M)

UCL Institute of Ophthalmology, University College London, London, UK.

J S Street (JS)

UCL Queen Square Institute of Neurology, University College London, London, UK.

E H VAN Beest (EH)

UCL Institute of Ophthalmology, University College London, London, UK.

A K Churchland (AK)

Department of Neurobiology, University of California Los Angeles, Los Angeles, California, USA.

K D Harris (KD)

UCL Queen Square Institute of Neurology, University College London, London, UK.

D M Kullmann (DM)

UCL Queen Square Institute of Neurology, University College London, London, UK.

G Lignani (G)

UCL Queen Square Institute of Neurology, University College London, London, UK.

M Carandini (M)

UCL Institute of Ophthalmology, University College London, London, UK.

P Coen (P)

UCL Institute of Ophthalmology, University College London, London, UK.
Department of Cell and Developmental Biology, University College London, London, United Kingdom, UK.

Classifications MeSH