journal article·2023Open access

Diversity of dynamic voltage patterns in neuronal dendrites revealed by nanopipette electrophysiology

Jeffrey Mc Hugh, Stanislaw Makarchuk, Daria Mozheiko, Ana Fernandez-Villegas, Gabriele S. Kaminski Schierle, Clemens F. Kaminski, Ulrich F. Keyser, David Holcman, Nathalie Rouach

Nanoscale· Volume 15· Issue 29

Abstract

Dendrites and dendritic spines are the essential cellular compartments in neuronal communication, conveying information through transient voltage signals. Our understanding of these compartmentalized voltage dynamics in fine, distal neuronal dendrites remains poor due to the difficulties inherent to accessing and stably recording from such small, nanoscale cellular compartments for a sustained time. To overcome these challenges, we use nanopipettes that permit long and stable recordings directly from fine neuronal dendrites. We reveal a diversity of voltage dynamics present locally in dendrites, such as spontaneous voltage transients, bursting events and oscillating periods of silence and firing activity, all of which we characterized using segmentation analysis. Remarkably, we find that neuronal dendrites can display spontaneous hyperpolarisation events, and sustain transient hyperpolarised states. The voltage patterns were activity-dependent, with a stronger dependency on synaptic activity than on action potentials. Long-time recordings of fine dendritic protrusions show complex voltage dynamics that may represent a previously unexplored contribution to dendritic computations.
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Research context

OpenAlex topics: stochastic dynamics and bifurcation · Neural dynamics and brain function · Lipid Membrane Structure and Behavior

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Centre for Interdisciplinary Research in Biology, Collège de France, CNRS, INSERM, Université PSL, Labex Memolife, Paris, France

Cavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, UK

Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge CB3 0AS, UK

Doctoral School No 158, Sorbonne Université, Paris, France

Group Data Modelling, Computational Biology and Predictive Medicine, Institut de Biologie de l'Ecole Normale Supérieure (IBENS), CNRS, INSERM, Université PSL, Labex Memolife, Paris, France

Churchill College, University of Cambridge, Cambridge CB3 0DS, UK

Funding

H2020 European Research Council · Agence Nationale de la Recherche · Fondation pour la Recherche Médicale · Air Force Office of Scientific Research · Michael J. Fox Foundation for Parkinson's Research · Institut National de la Santé et de la Recherche Médicale

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