Ultra-high density electrodes improve detection, yield, and cell type specificity of brain recordings.


Journal

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

Informations de publication

Date de publication:
25 Aug 2023
Historique:
pubmed: 4 9 2023
medline: 4 9 2023
entrez: 4 9 2023
Statut: epublish

Résumé

To study the neural basis of behavior, we require methods to sensitively and accurately measure neural activity at single neuron and single spike resolution. Extracellular electrophysiology is a principal method for achieving this, but it has biases in the neurons it detects and it imperfectly resolves their action potentials. To overcome these limitations, we developed a silicon probe with significantly smaller and denser recording sites than previous designs, called Neuropixels Ultra (NP Ultra). This device measures neuronal activity at ultra-high densities (>1300 sites per mm, 10 times higher than previous probes), with 6 μm center-to-center spacing and low noise. This device effectively comprises an implantable voltage-sensing camera that captures a planar image of a neuron's electrical field. We introduce a new spike sorting algorithm optimized for these probes and use it to find that the yield of visually-responsive neurons in recordings from mouse visual cortex improves ~3-fold. Recordings across multiple brain regions and four species revealed a subset of unexpectedly small extracellular action potentials not previously reported. Further experiments determined that, in visual cortex, these do not correspond to major subclasses of interneurons and instead likely reflect recordings from axons. Finally, using ground-truth identification of cortical inhibitory cell types with optotagging, we found that cell type was discriminable with approximately 75% success among three types, a significant improvement over lower-resolution recordings. NP Ultra improves spike sorting performance, sampling bias, and cell type classification.

Identifiants

pubmed: 37662298
doi: 10.1101/2023.08.23.554527
pmc: PMC10473688
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NIH HHS
ID : U42 OD011123
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS118448
Pays : United States
Organisme : NEI NIH HHS
ID : R01 EY018839
Pays : United States
Organisme : NIH HHS
ID : P51 OD010425
Pays : United States
Organisme : NEI NIH HHS
ID : R01 EY029601
Pays : United States
Organisme : NINDS NIH HHS
ID : U01 NS113252
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS075023
Pays : United States

Déclaration de conflit d'intérêts

Competing interests CK holds an executive position, and has a financial interest, in Intrinsic Powers, Inc., a company whose purpose is to develop a device that can be used in the clinic to assess the presence and absence of consciousness in patients. This does not pose any conflict of interest with regard to the work undertaken for this publication. BR, CML, and BD are employees of IMEC vzw, a nonprofit research institute that manufactures, sells, and distributes the Neuropixels probes, at cost, to the research community. All other authors have no competing interests.

Auteurs

Zhiwen Ye (Z)

Department of Biological Structure, University of Washington, Seattle, WA, USA.

Andrew M Shelton (AM)

MindScope Program, Allen Institute, Seattle, WA, USA.
Allen Institute for Neural Dynamics, Seattle, WA, USA.

Jordan R Shaker (JR)

Department of Biological Structure, University of Washington, Seattle, WA, USA.

Julien Boussard (J)

Department of Neuroscience, Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA.

Jennifer Colonell (J)

Janelia Research Campus, Ashburn, VA, USA.

Sahar Manavi (S)

MindScope Program, Allen Institute, Seattle, WA, USA.

Susu Chen (S)

Janelia Research Campus, Ashburn, VA, USA.

Charlie Windolf (C)

Department of Neuroscience, Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA.

Cole Hurwitz (C)

Department of Neuroscience, Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA.

Tomoyuki Namima (T)

Department of Biological Structure, University of Washington, Seattle, WA, USA.
Washington National Primate Research Center, Seattle, WA, USA.

Federico Pedraja (F)

Department of Neuroscience, Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA.

Shahaf Weiss (S)

Max Planck Institute for Brain Research, Frankfurt, Germany.

Bogdan Raducanu (B)

IMEC, Leuven, Belgium.

Torbjørn V Ness (TV)

Norwegian University of Life Sciences, Ås, Norway.

Gaute T Einevoll (GT)

Norwegian University of Life Sciences, Ås, Norway.
University of Oslo, Oslo, Norway.

Gilles Laurent (G)

Max Planck Institute for Brain Research, Frankfurt, Germany.

Nathaniel B Sawtell (NB)

Department of Neuroscience, Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA.

Wyeth Bair (W)

Department of Biological Structure, University of Washington, Seattle, WA, USA.
Washington National Primate Research Center, Seattle, WA, USA.

Anitha Pasupathy (A)

Department of Biological Structure, University of Washington, Seattle, WA, USA.
Washington National Primate Research Center, Seattle, WA, USA.

Carolina Mora Lopez (CM)

IMEC, Leuven, Belgium.

Barun Dutta (B)

IMEC, Leuven, Belgium.

Liam Paninski (L)

Department of Neuroscience, Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA.

Joshua H Siegle (JH)

Allen Institute for Neural Dynamics, Seattle, WA, USA.

Christof Koch (C)

MindScope Program, Allen Institute, Seattle, WA, USA.

Shawn R Olsen (SR)

MindScope Program, Allen Institute, Seattle, WA, USA.
Allen Institute for Neural Dynamics, Seattle, WA, USA.

Timothy D Harris (TD)

Janelia Research Campus, Ashburn, VA, USA.
Biomedical Engineering Department, Johns Hopkins University, Baltimore, MD, USA.

Nicholas A Steinmetz (NA)

Department of Biological Structure, University of Washington, Seattle, WA, USA.

Classifications MeSH