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Persistent adaptation through dual-timescale regulation of ion channel properties.

Overview

Authors: Yugarshi Mondal1, Ronald L Calabrese2, Eve Marder1
ORCID iDs: Yugarshi Mondal, Ronald L Calabrese, Eve Marder
  1. Volen Center and Biology Department, Brandeis University, Waltham, MA 02454
  2. Biology Department, Emory University, Atlanta, GA 30322
Institutions: Brandeis University (United States); Emory University (United States)
Journal: Proceedings of the National Academy of Sciences of the United States of America, volume 123, issue 10, article e2530340123
Dates: received 24 October 2025; accepted 26 January 2026; published online 2 March 2026; in print 10 March 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1073/pnas.2530340123 · PMID 41770919 · PMCID PMC12974478 · OpenAlex W7133200915
Open access: hybrid, a free copy (OpenAlex)
Status: data only
Categories: computational modeling (no new data) (modality), none (in silico) (organism), cellular / molecular (subfield)
Methods: Single-unit activity, calcium imaging
Keywords: intrinsic excitability, activity-dependent regulation, high potassium, homeostatic plasticity, computational model
MeSH: Adaptation, Physiological*, Ion Channels*, Models, Neurological*, Neurons*, Animals, Homeostasis, Ion Channel Gating (* major topic)
Topic: Ion channel regulation and function (Molecular Biology, Biochemistry, Genetics and Molecular Biology), according to OpenAlex
Funding: HHS | NIH | National Institute of Mental Health (NIMH) (5 R01 MH46742-34); Swartz Foundation (None); HHS | NIH | National Institute of Neurological Disorders and Stroke (R35NS142987-01)
Citations: cited by 5 papers (Europe PMC); 49 references in the paper

Abstract

Neurons are terminally differentiated cells that adapt to maintain stable function over years, despite encountering a wide range of environmental perturbations. In some cases, recovery from perturbation is not shaped by prior exposure; in others, recovery depends on the neuron’s perturbation history. A particularly striking form of history-dependent recovery occurs when prior exposure enhances the neuron’s ability to recover from future perturbations while leaving baseline activity largely unchanged. Among the many mechanisms that may contribute to such history-dependent improvement in recovery, we investigate one based on the regulation of intrinsic currents. Using a model of activity-dependent homeostasis, we show that improved recovery can be encoded through lasting changes in channel density, while rapid shifts in ion channel voltage-dependence provide immediate compensation during perturbations. We refer to the long-lasting intrinsic trace that accompanies this improved recovery a persistent adaptation. Interestingly, these roles are noninterchangeable: when voltage-dependence evolves slowly and maximal conductances change rapidly, an intrinsic trace is not stored, eliminating persistent adaptation even when improved recovery is preserved.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

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The paper's code and data availability statement is in the Data section.

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Data

Datasets cited

Data, Materials, and Software Availability

Zip file data have been deposited in Zenodo https://doi.org/10.5281/zenodo.18188912 (49).

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

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Version 1, 30 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 3 authors, 5 keywords, 7 MeSH terms, 3 funders, 47 references.

Cite

This paper

Mondal, Y., Calabrese, R. L., & Marder, E. (2026). Persistent adaptation through dual-timescale regulation of ion channel properties. Proceedings of the National Academy of Sciences of the United States of America, 123(10), e2530340123. https://doi.org/10.1073/pnas.2530340123

BibTeX

@article{mondal2026persistent,
author = {Mondal, Yugarshi and Calabrese, Ronald L and Marder, Eve},
title = {{Persistent adaptation through dual-timescale regulation of ion channel properties}},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
year = {2026},
month = mar,
volume = {123},
number = {10},
pages = {e2530340123},
publisher = {National Academy of Sciences},
issn = {0027-8424},
doi = {10.1073/pnas.2530340123},
url = {https://doi.org/10.1073/pnas.2530340123},
pmid = {41770919},
pmcid = {PMC12974478}
}

RIS

TY - JOUR
AU - Mondal, Yugarshi
AU - Calabrese, Ronald L
AU - Marder, Eve
TI - Persistent adaptation through dual-timescale regulation of ion channel properties
T2 - Proceedings of the National Academy of Sciences of the United States of America
J2 - Proc Natl Acad Sci U S A
PY - 2026
DA - 2026/03/02
VL - 123
IS - 10
SP - e2530340123
SN - 0027-8424
PB - National Academy of Sciences
DO - 10.1073/pnas.2530340123
UR - https://doi.org/10.1073/pnas.2530340123
LA - en
ER -

CSL-JSON

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