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Diversified physiological sensory input connectivity questions the existence of distinct classes of spinal interneurons

Matthias Kohler, Fredrik Bengtsson, Philipp Stratmann, Florian Röhrbein, Alois Knoll, Alin Albu-Schäffer, Henrik Jörntell
doi: https://doi.org/10.1101/2021.07.16.452238
Matthias Kohler
aTechnical University of Munich, Department of Informatics, Garching, 85748, Germany
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  • For correspondence: kohler@in.tum.de
Fredrik Bengtsson
bLund University, Department of Experimental Medical Science, Lund, 22184, Sweden
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Philipp Stratmann
aTechnical University of Munich, Department of Informatics, Garching, 85748, Germany
cGerman Aerospace Center, Institute of Robotics and Mechatronics, Weβling, 82234, Germany
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Florian Röhrbein
dChemnitz University of Technology, Department of Computer Science, Chemnitz, 09111, Germany
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Alois Knoll
aTechnical University of Munich, Department of Informatics, Garching, 85748, Germany
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Alin Albu-Schäffer
aTechnical University of Munich, Department of Informatics, Garching, 85748, Germany
cGerman Aerospace Center, Institute of Robotics and Mechatronics, Weβling, 82234, Germany
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Henrik Jörntell
bLund University, Department of Experimental Medical Science, Lund, 22184, Sweden
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Abstract

The spinal cord is engaged in all forms of motor performance but its functions are far from understood. Because network connectivity defines function, we explored the connectivity for muscular, tendon and tactile sensory inputs among a wide population of spinal interneurons in the lower cervical segments. Using low noise intracellular whole cell recordings in the decerebrated, nonanesthetized cat in vivo, we could define mono-, di-, trisynaptic inputs as well as the weights of each input. Whereas each neuron had a highly specific input, and each indirect input could moreover be explained by inputs in other recorded neurons, we unexpectedly also found the input connectivity of the spinal interneuron population to form a continuum. Our data hence contrasts with the currently widespread notion of distinct classes of interneurons. We argue that this suggested diversified physiological connectivity, which likely requires a major component of circuitry learning, implies a more flexible functionality.

Figure

Highlights

  • In vivo whole cell, intracellular recording of spinal interneurons.

  • Patterns of input from Ia, Ib and cutaneous afferents is highly diversified.

  • Learning appears to be a defining factor of spinal interneuron connectivity.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Email addresses: fredrik.bengtsson{at}med.lu.se (Fredrik Bengtsson), Philipp.Stratmann{at}dlr.de (Philipp Stratmann), florian.roehrbein{at}informatik.tu-chemnitz.de (Florian Röhrbein), knoll{at}in.tum.de (Alois Knoll), Alin.Albu-Schaeffer{at}dlr.de (Alin Albu-Schäffer), henrik.jorntell{at}med.lu.se (Henrik Jörntell)

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted February 28, 2022.
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Diversified physiological sensory input connectivity questions the existence of distinct classes of spinal interneurons
Matthias Kohler, Fredrik Bengtsson, Philipp Stratmann, Florian Röhrbein, Alois Knoll, Alin Albu-Schäffer, Henrik Jörntell
bioRxiv 2021.07.16.452238; doi: https://doi.org/10.1101/2021.07.16.452238
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Diversified physiological sensory input connectivity questions the existence of distinct classes of spinal interneurons
Matthias Kohler, Fredrik Bengtsson, Philipp Stratmann, Florian Röhrbein, Alois Knoll, Alin Albu-Schäffer, Henrik Jörntell
bioRxiv 2021.07.16.452238; doi: https://doi.org/10.1101/2021.07.16.452238

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