A multichannel electrophysiological approach to noninvasively and precisely record human spinal cord activity.


Journal

PLoS biology
ISSN: 1545-7885
Titre abrégé: PLoS Biol
Pays: United States
ID NLM: 101183755

Informations de publication

Date de publication:
Oct 2024
Historique:
received: 02 02 2024
accepted: 02 09 2024
medline: 1 11 2024
pubmed: 1 11 2024
entrez: 31 10 2024
Statut: epublish

Résumé

The spinal cord is of fundamental importance for integrative processing in brain-body communication, yet routine noninvasive recordings in humans are hindered by vast methodological challenges. Here, we overcome these challenges by developing an easy-to-use electrophysiological approach based on high-density multichannel spinal recordings combined with multivariate spatial-filtering analyses. These advances enable a spatiotemporal characterization of spinal cord responses and demonstrate a sensitivity that permits assessing even single-trial responses. To furthermore enable the study of integrative processing along the neural processing hierarchy in somatosensation, we expand this approach by simultaneous peripheral, spinal, and cortical recordings and provide direct evidence that bottom-up integrative processing occurs already within the spinal cord and thus after the first synaptic relay in the central nervous system. Finally, we demonstrate the versatility of this approach by providing noninvasive recordings of nociceptive spinal cord responses during heat-pain stimulation. Beyond establishing a new window on human spinal cord function at millisecond timescale, this work provides the foundation to study brain-body communication in its entirety in health and disease.

Identifiants

pubmed: 39480757
doi: 10.1371/journal.pbio.3002828
pii: PBIOLOGY-D-24-00369
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e3002828

Informations de copyright

Copyright: © 2024 Nierula et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Birgit Nierula (B)

Max Planck Research Group Pain Perception, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.

Tilman Stephani (T)

Research Group Neural Interactions and Dynamics, Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
International Max Planck Research School NeuroCom, Leipzig, Germany.

Emma Bailey (E)

Max Planck Research Group Pain Perception, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
International Max Planck Research School NeuroCom, Leipzig, Germany.

Merve Kaptan (M)

Max Planck Research Group Pain Perception, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
International Max Planck Research School NeuroCom, Leipzig, Germany.

Lisa-Marie Geertje Pohle (LG)

Max Planck Research Group Pain Perception, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
International Max Planck Research School NeuroCom, Leipzig, Germany.

Ulrike Horn (U)

Max Planck Research Group Pain Perception, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.

André Mouraux (A)

Institute of Neuroscience, Université Catholique de Louvain, Brussels, Belgium.

Burkhard Maess (B)

Methods and Development Group Brain Networks, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.

Arno Villringer (A)

Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.

Gabriel Curio (G)

Department of Neurology, Charité University Medicine, Berlin, Germany.

Vadim V Nikulin (VV)

Research Group Neural Interactions and Dynamics, Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.

Falk Eippert (F)

Max Planck Research Group Pain Perception, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.

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Classifications MeSH