Evidence map›Paper›PMID 41770919›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

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

Yugarshi Mondal, Ronald L Calabrese, Eve Marder

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Persistent adaptation through dual-timescale regulation of ion channel properties.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Yugarshi MondalVolen Center and Biology Department, Brandeis University, Waltham, MA 02454.ORCID 0000-0002-7620-8436
Ronald L CalabreseBiology Department, Emory University, Atlanta, GA 30322.ORCID 0000-0001-7135-3469
Eve MarderVolen Center and Biology Department, Brandeis University, Waltham, MA 02454.ORCID 0000-0001-9632-5448

Funding

HHS | NIH | National Institute of Mental Health (NIMH) 5 R01 MH46742-34HHS | NIH | National Institute of Neurological Disorders and Stroke (NINDS) R35NS142987-01Swartz Foundation None
6 · The paper itself

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.

Indexed as

Adaptation, PhysiologicalIon ChannelsModels, NeurologicalNeuronsAnimalsHomeostasisIon Channel GatingIon Channelsactivity-dependent regulationcomputational modelhigh potassiumhomeostatic plasticityintrinsic excitability

Identifiers

PMID41770919
PMCPMC12974478

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.