Evidence map›Paper›PMID 42327102›Full record

ArticlebioRxiv : the preprint server for biology2026

Robust learning-driven structural and functional plasticity of spines in the mature mouse cortex: Robust learning-driven plasticity of spines in the mature cortex.

Mona Fariborzi, Delaney G Eaves, Lara Y Demir, Yuxi Wu, Adam Skeens, Martin Hruska, Adema Ribic

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Mona FariborziDepartment of Psychology, College and Graduate School of Arts and Sciences, University of Virginia, Charlottesville, VA, USA.
Delaney G EavesDepartment of Psychology, College and Graduate School of Arts and Sciences, University of Virginia, Charlottesville, VA, USA.
Lara Y DemirDepartment of Psychology, College and Graduate School of Arts and Sciences, University of Virginia, Charlottesville, VA, USA.
Yuxi WuDepartment of Chemistry, College and Graduate School of Arts and Sciences, University of Virginia, Charlottesville, VA, USA.
Adam SkeensDepartment of Neuroscience, Rockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, USA.
Martin HruskaDepartment of Neuroscience, Rockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, USA.
Adema RibicDepartment of Psychology, College and Graduate School of Arts and Sciences, University of Virginia, Charlottesville, VA, USA.

Funding

Institutional Career Development CoreKL2TR003016 · NCATS · UNIVERSITY OF VIRGINIA · PI PAPIN, JASON, WORRALL, BRADFORD B · 2019 to 2023
$3.9M
Synchronous network activity in the maturing prefrontal cortex: mechanistic impact of birth timing and serotoninR01MH140184 · NIMH · UNIVERSITY OF VIRGINIA · PI ADEMA RIBIC · 2025 to 2026
$769k
Nanoscale synaptic heterogeneity, loss, and plasticity in Alzheimer's diseaseR01AG091548 · NIA · WEST VIRGINIA UNIVERSITY · PI Martin Hruska · 2026 to 2026
$476k
NCATS NIH HHS KL2 TR003016NIA NIH HHS R01 AG091548NIMH NIH HHS R01 MH140184
6 · The paper itself

Abstract

Spines in the adult cortex are thought to be highly stable, and that their capacity for modest remodeling supports learning. Using a visual association task and a multilevel imaging approach in adult mice, we found a robust learning-driven increase in the complexity of spine nanostructure, as well as a rapid and persistent increase in spine formation during task acquisition that were accompanied by an overall reduction in spine size of layer 2/3 neurons in the primary visual cortex (V1). Trained animals further had an increased fraction of spines tuned to the task-relevant orientations, and the discriminability of spine responses in naïve mice was predictive of their subsequent performance. Our results demonstrate that learning drives an increase in spine preferences for task-relevant information and point to reconfiguration of spine nanostructure and spine inputs as the structural drivers of these changes.

Identifiers

PMID42327102
PMCPMC13277906

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.