Fine-scale mapping of cortical laminar activity during sleep slow oscillations using high-density linear silicon probes.


Journal

Journal of neuroscience methods
ISSN: 1872-678X
Titre abrégé: J Neurosci Methods
Pays: Netherlands
ID NLM: 7905558

Informations de publication

Date de publication:
15 03 2019
Historique:
received: 04 05 2018
revised: 16 08 2018
accepted: 17 08 2018
pubmed: 26 8 2018
medline: 29 7 2020
entrez: 26 8 2018
Statut: ppublish

Résumé

The cortical slow (∼1 Hz) oscillation (SO), which is thought to play an active role in the consolidation of memories, is a brain rhythm characteristic of slow-wave sleep, with alternating periods of neuronal activity and silence. Although the laminar distribution of cortical activity during SO is well-studied by using linear neural probes, traditional devices have a relatively low (20-100 μm) spatial resolution along cortical layers. In this work, we demonstrate a high-density linear silicon probe fabricated to record the SO with very high spatial resolution (∼6 μm), simultaneously from multiple cortical layers. Ketamine/xylazine-induced SO was acquired acutely from the neocortex of rats, followed by the examination of the high-resolution laminar structure of cortical activity. The probe provided high-quality extracellular recordings, and the obtained cortical laminar profiles of the SO were in good agreement with the literature data. Furthermore, we could record the simultaneous activity of 30-50 cortical single units. Spiking activity of these neurons showed layer-specific differences. The developed silicon probe measures neuronal activity with at least a three-fold higher spatial resolution compared with traditional linear probes. By exploiting this feature, we could determine the site of up-state initiation with a higher precision than before. Additionally, increased spatial resolution may provide more reliable spike sorting results, as well as a higher single unit yield. The high spatial resolution provided by the electrodes allows to examine the fine structure of local population activity during sleep SO in greater detail.

Sections du résumé

BACKGROUND
The cortical slow (∼1 Hz) oscillation (SO), which is thought to play an active role in the consolidation of memories, is a brain rhythm characteristic of slow-wave sleep, with alternating periods of neuronal activity and silence. Although the laminar distribution of cortical activity during SO is well-studied by using linear neural probes, traditional devices have a relatively low (20-100 μm) spatial resolution along cortical layers.
NEW METHOD
In this work, we demonstrate a high-density linear silicon probe fabricated to record the SO with very high spatial resolution (∼6 μm), simultaneously from multiple cortical layers. Ketamine/xylazine-induced SO was acquired acutely from the neocortex of rats, followed by the examination of the high-resolution laminar structure of cortical activity.
RESULTS
The probe provided high-quality extracellular recordings, and the obtained cortical laminar profiles of the SO were in good agreement with the literature data. Furthermore, we could record the simultaneous activity of 30-50 cortical single units. Spiking activity of these neurons showed layer-specific differences.
COMPARISON WITH EXISTING METHODS
The developed silicon probe measures neuronal activity with at least a three-fold higher spatial resolution compared with traditional linear probes. By exploiting this feature, we could determine the site of up-state initiation with a higher precision than before. Additionally, increased spatial resolution may provide more reliable spike sorting results, as well as a higher single unit yield.
CONCLUSIONS
The high spatial resolution provided by the electrodes allows to examine the fine structure of local population activity during sleep SO in greater detail.

Identifiants

pubmed: 30144495
pii: S0165-0270(18)30256-5
doi: 10.1016/j.jneumeth.2018.08.020
pii:
doi:

Substances chimiques

Silicon Z4152N8IUI

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

58-70

Informations de copyright

Copyright © 2018 Elsevier B.V. All rights reserved.

Auteurs

Richárd Fiáth (R)

Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest, Hungary; Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary. Electronic address: fiath.richard@ttk.mta.hu.

Bogdan Cristian Raducanu (BC)

imec, Leuven, Belgium; Electrical Engineering Department (ESAT), KU Leuven, Leuven, Belgium.

Silke Musa (S)

imec, Leuven, Belgium.

Alexandru Andrei (A)

imec, Leuven, Belgium.

Carolina Mora Lopez (CM)

imec, Leuven, Belgium.

Marleen Welkenhuysen (M)

imec, Leuven, Belgium.

Patrick Ruther (P)

Microsystem Materials Laboratory, Department of Microsystems Engineering (IMTEK), University of Freiburg, Freiburg, Germany; BrainLinks-BrainTools Cluster of Excellence at the University of Freiburg, Freiburg, Germany.

Arno Aarts (A)

ATLAS Neuroengineering, Leuven, Belgium.

István Ulbert (I)

Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest, Hungary; Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary.

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Classifications MeSH