Evidence map›Paper›PMID 41279932›Full record

ArticlebioRxiv : the preprint server for biology2025

Persistent Adaptation through Dual-Timescale Regulation of Ion Channel Properties.

Yugarshi Mondal, Ronald L Calabrese, Eve Marder

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

Neuromodulation and Robustness of Neurons and NetworksR35NS097343 · NINDS · BRANDEIS UNIVERSITY · PI MARDER, EVE E · 2017 to 2024
$7.8M
Variability and Compensation in Reliable Neuronal NetworksR01MH046742 · NIMH · BRANDEIS UNIVERSITY · PI MARDER, EVE E · 1990 to 2025
$7.8M
NIMH NIH HHS R01 MH046742NINDS NIH HHS R35 NS097343
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. Some adaptations are transient, fading once the perturbation ends. Others are persistent, continuing to influence a neuron's responses to future challenges even after baseline conditions are restored. These persistent adaptations are especially intriguing because some remain undetectable under normal conditions-only becoming apparent upon re-exposure to a perturbation. Among the many mechanisms that may contribute to persistent adaptation, we investigate one based on the regulation of intrinsic currents. Using a computational model of activity-dependent homeostasis, we show that slow changes in channel density can encode the influence of past experience and shape future responses while rapid shifts in ion channel voltage-dependence provide immediate compensation during perturbations. Together, these dual processes tune a neuron's intrinsic excitability, enabling persistent adaptation.

Indexed as

activity-dependent regulationBiological Scienceschannel activation curvescomputational modelhigh potassiumhomeostatic plasticityintrinsic excitabilityNeuroscience

Identifiers

PMID41279932
PMCPMC12633359

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.