Evidence map›Paper›PMID 39167486›Full record

ArticleCell reports2024

A dendritic mechanism for balancing synaptic flexibility and stability.

Courtney E Yaeger, Dimitra Vardalaki, Qinrong Zhang, Trang L D Pham, Norma J Brown, Na Ji, Mark T Harnett

Abstract read
In one paragraph

Article in Cell reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A Critical Look at Critical Periods.Annual review of vision science · 2025
    Review
  5. Article
  6. Article
  7. Article
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.

Courtney E YaegerMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Dimitra VardalakiMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Qinrong ZhangDepartment of Physics, University of California, Berkeley, Berkeley, CA 94720, USA; Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA.
Trang L D PhamMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Norma J BrownMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Na JiDepartment of Physics, University of California, Berkeley, Berkeley, CA 94720, USA; Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA; Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA 94720, USA; Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Mark T HarnettMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. Electronic address: harnett@mit.edu.

Funding

Validating Theoretical Models with Neurophysiology and OptogeneticsU19NS107613 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI JI, NA · 2018 to 2022
$16.7M
A dendritic mechanism for cholinergic neuromodulation of cortical functionR01NS106031 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI HARNETT, MARK THOMAS · 2018 to 2022
$1.7M
Adaptive optical microscopy for high-accuracy recording of neural activity in vivoU01NS118300 · NINDS · UNIVERSITY OF CALIFORNIA BERKELEY · PI JI, NA · 2021 to 2023
$1.7M
NINDS NIH HHS R01 NS106031NINDS NIH HHS U01 NS118300NINDS NIH HHS U19 NS107613
6 · The paper itself

Abstract

Biological and artificial neural networks learn by modifying synaptic weights, but it is unclear how these systems retain previous knowledge and also acquire new information. Here, we show that cortical pyramidal neurons can solve this plasticity-versus-stability dilemma by differentially regulating synaptic plasticity at distinct dendritic compartments. Oblique dendrites of adult mouse layer 5 cortical pyramidal neurons selectively receive monosynaptic thalamic input, integrate linearly, and lack burst-timing synaptic potentiation. In contrast, basal dendrites, which do not receive thalamic input, exhibit conventional NMDA receptor (NMDAR)-mediated supralinear integration and synaptic potentiation. Congruently, spiny synapses on oblique branches show decreased structural plasticity in vivo. The selective decline in NMDAR activity and expression at synapses on oblique dendrites is controlled by a critical period of visual experience. Our results demonstrate a biological mechanism for how single neurons can safeguard a set of inputs from ongoing plasticity by altering synaptic properties at distinct dendritic domains.

Indexed as

DendritesNeuronal PlasticityPyramidal CellsReceptors, N-Methyl-D-AspartateSynapsesAnimalsMaleMiceMice, Inbred C57BLReceptors, N-Methyl-D-AspartateAMPA/NMDA ratioCP: Neurosciencecritical perioddendritic domainsplasticity-stability dilemmaspine turnoversynaptic integrationsynaptic plasticity

Identifiers

PMID39167486
PMCPMC11403626

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Registered trials

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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.