Evidence map›Paper›PMID 35654957›Full record

ArticleNature neuroscience2022

Learning binds new inputs into functional synaptic clusters via spinogenesis.

Nathan G Hedrick, Zhongmin Lu, Eric Bushong, Surbhi Singhi, Peter Nguyen, Yessenia Magaña, Sayyed Jilani, Byung Kook Lim, Mark Ellisman, Takaki Komiyama

Open access · greenAbstract read
In one paragraph

Article in Nature neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
9.3field-weighted citation impact, top 1% of its field
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

49 citing papers in PubMed, 95 citations in OpenAlex.

  1. Article
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  5. Learning Shapes the Energy Cost of Neural Tasks.bioRxiv : the preprint server for biology · 2026
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  15. CXCL12 Engages Cortical Inhibitory Neurons to Enhance Dendritic Spine Plasticity and Structured Network Activity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
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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

10 authors at 1 institution in 1 country.

Nathan G HedrickNeurobiology Section, Division of Biological Sciences, University of California, San Diego, La Jolla, CA, USA. nghedric@gmail.com.ORCID http://orcid.org/0000-0003-3933-7033
Zhongmin LuNeurobiology Section, Division of Biological Sciences, University of California, San Diego, La Jolla, CA, USA.
Eric BushongDepartment of Neurosciences, University of California, San Diego, School of Medicine, La Jolla, CA, USA.ORCID http://orcid.org/0000-0001-6195-2433
Surbhi SinghiNeurobiology Section, Division of Biological Sciences, University of California, San Diego, La Jolla, CA, USA.
Peter NguyenNeurobiology Section, Division of Biological Sciences, University of California, San Diego, La Jolla, CA, USA.
Yessenia MagañaNeurobiology Section, Division of Biological Sciences, University of California, San Diego, La Jolla, CA, USA.
Sayyed JilaniNeurobiology Section, Division of Biological Sciences, University of California, San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0001-6210-8111
Byung Kook LimNeurobiology Section, Division of Biological Sciences, University of California, San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0002-3766-5415
Mark EllismanDepartment of Neurosciences, University of California, San Diego, School of Medicine, La Jolla, CA, USA.
Takaki KomiyamaNeurobiology Section, Division of Biological Sciences, University of California, San Diego, La Jolla, CA, USA. tkomiyama@ucsd.edu.ORCID http://orcid.org/0000-0001-9609-4600
University of California San Diego · US

Funding

Anatomical characterization of neuronal cell types of the mouse brainU01MH114829 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ASCOLI, GIORGIO A, DONG, HONG-WEI · 2017 to 2021
$13.9M
Vision BiostatisticsP30EY022589 · NEI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Derek Stuart Welsbie · 2012 to 2026
$10.3M
National Center for Microscopy and Imaging Research: A BRAIN Technology Integration and Dissemination ResourceU24NS120055 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ELLISMAN, MARK H · 2021 to 2025
$5.4M
Support of and Extensions to the Cell Image LibraryR01GM082949 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ELLISMAN, MARK H · 2007 to 2019
$4.1M
Cortical Control of Motor LearningR01NS091010 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KOMIYAMA, TAKAKI · 2015 to 2024
$3.7M
The National Center for Microscopy and Imaging Research, a Community-wide Scientific ResourceR24GM137200 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ELLISMAN, MARK H · 2020 to 2022
$3.0M
Deconstructing Functional Circuits of Motor Cortex During Motor Learning - Microscope Repair Administrative SupplementR01NS125298 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Takaki Komiyama · 2022 to 2026
$2.8M
Role of Glutamatergic Neurons in External Globus Pallidus in the Behavioral Deficits in Animal Models of Progressive Dopamine DepletionR01NS121231 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LEUTGEB, STEFAN, LIM, BYUNGKOOK · 2021 to 2025
$2.5M
Cortical plasticity during reinforcement learning - Diversity SupplementR01MH128746 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Takaki Komiyama · 2022 to 2026
$2.3M
Context-dependent plasticity of adult-born neuronsR01DC018545 · NIDCD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KOMIYAMA, TAKAKI · 2020 to 2024
$2.2M
Experience-driven plasticity of olfactory bulb odor representationsR01DC014690 · NIDCD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KOMIYAMA, TAKAKI · 2015 to 2019
$1.9M
Dissecting the role of ventral pallidal circuitry in cocaine seeking after the withdrawalR01DA049787 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LIM, BYUNGKOOK · 2020 to 2024
$1.8M
NEI NIH HHS P30 EY022589NEI NIH HHS R01 EY025349NIDA NIH HHS R01 DA038896NIDA NIH HHS R01 DA049787NIDCD NIH HHS R01 DC014690NIDCD NIH HHS R01 DC018545NIGMS NIH HHS R01 GM082949NIGMS NIH HHS R24 GM137200NIMH NIH HHS R01 MH128746NIMH NIH HHS U01 MH114829NINDS NIH HHS F32 NS103267NINDS NIH HHS K99 NS114175NINDS NIH HHS R01 NS091010NINDS NIH HHS R01 NS121231NINDS NIH HHS R01 NS125298NINDS NIH HHS R21 NS109722NINDS NIH HHS R21 NS112750NINDS NIH HHS U24 NS120055
6 · The paper itself

Abstract

Learning induces the formation of new excitatory synapses in the form of dendritic spines, but their functional properties remain unknown. Here, using longitudinal in vivo two-photon imaging and correlated electron microscopy of dendritic spines in the motor cortex of mice during motor learning, we describe a framework for the formation, survival and resulting function of new, learning-related spines. Specifically, our data indicate that the formation of new spines during learning is guided by the potentiation of functionally clustered preexisting spines exhibiting task-related activity during earlier sessions of learning. We present evidence that this clustered potentiation induces the local outgrowth of multiple filopodia from the nearby dendrite, locally sampling the adjacent neuropil for potential axonal partners, likely via targeting preexisting presynaptic boutons. Successful connections are then selected for survival based on co-activity with nearby task-related spines, ensuring that the new spine preserves functional clustering. The resulting locally coherent activity of new spines signals the learned movement. Furthermore, we found that a majority of new spines synapse with axons previously unrepresented in these dendritic domains. Thus, learning involves the binding of new information streams into functional synaptic clusters to subserve learned behaviors.

Indexed as

LearningSynapsesAnimalsAxonsDendritic SpinesMiceNeuropilPresynaptic Terminals

Identifiers

PMID35654957
PMCPMC12251420
OpenAlexW4281770444

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.