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Cited by 15Neuroscience and Neuropharmacology ResearchNeural dynamics and brain functionNeurobiology and Insect Physiology Research

Repeated applications of high potassium elicit long-term changes in a motor circuit from the crab, Cancer borealis

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Rue, Mara C.P., Alonso, Leandro M., Marder, Eve·2022·iScience
DOI 10.1016/j.isci.2022.104919PMC PMC9436765
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Abstract

Neuronal circuits must be capable of balancing adaptation to perturbation with physiological stability in the face of an ever-changing environment. Here we examined the effects of altered extracellular potassium concentration on the short and long-term behavior of the well-studied pyloric circuit in the crab, Cancer borealis. Pyloric neurons of the crab stomatogastric ganglion (STG) initially become quiescent, then recover spiking and bursting activity in high potassium saline (2.5x[K+], He et al. 2020). These changes in circuit robustness are maintained after the perturbation is removed; pyloric neurons are more robust to subsequent potassium perturbations even after several hours of wash in control saline. Despite these long-term changes in circuit robustness, or “memory” of the stimulus history, no differences in neuronal activity are seen under control conditions. The circuit’s adaptation to high potassium is erased by a hyperpolarizing stimulus of low potassium saline (0.4x[K+]) or direct hyperpolarizing current. Thus, perturbation, followed by recovery of normal activity, can hide cryptic changes in neuronal properties that are only revealed by subsequent challenges.

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  • Biological systems are degenerate.

    “Because biological systems are degenerate”

    From A feature and not a bug: Replication failures can lead to new biology (2026) · cites this paper as [44]

    The Discussion section, “Persistent, cryptic memory in neurons following perturbation” (page unavailable), says that seemingly identical neuronal activity patterns can arise from widely variable underlying parameters, which describes degeneracy in neurons. It does not extend that statement to biological systems generally. (LLM, conf=0.82)

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  • Biological systems that appear similar when unperturbed might respond to perturbations in unanticipated different ways.

    “biological systems that appear similar when unperturbed might respond to perturbations in unanticipated different ways [43-45]”

    From A feature and not a bug: Replication failures can lead to new biology (2026) · cites this paper as [44]

  • Biological systems that appear similar when unperturbed may show hidden 'cryptic' changes that are variable but only revealed when perturbed.

    “may show hidden 'cryptic' changes that are variable but only revealed when perturbed [44,45]”

    From A feature and not a bug: Replication failures can lead to new biology (2026) · cites this paper as [44]

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Cited by

Sorted by citations

Authors
Rue, M. C. P., Alonso, L. M., & Marder, E.
Affiliations
Brandeis University (US)
Corresponding author
Marder, Eve
ORCID
Venue
iScience
Publisher
Elsevier BV
Published
2022-09
Volume
25
Issue
9
Pages
104919
ISSN
2589-0042 (ISSN-L)
DOI
10.1016/j.isci.2022.104919
PMC
PMC9436765
OpenAlex
W4293744914
Cited by
15
References
1
Citations by year
2026: 5 · 2025: 2 · 2024: 5 · 2023: 3
FWCI
1.11
Type
journal article
Language
en
Open access
Licence
Locations
  • iScience (publishedVersion, cc-by)
  • SSRN Electronic Journal (acceptedVersion)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
National Institutes of Health (R35 NS097343, R01 MH046742, F31-NS113383)
Topics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurobiology and Insect Physiology Research
Keywords
pyloric circuit, Cancer borealis, extracellular potassium, burst firing, hyperpolarizing current, seasonal variation, neuronal sensitivity

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