Evidence map›Paper›PMID 33109633›Full record

ArticleeNeuro

Geometry and the Organizational Principle of Spine Synapses along a Dendrite.

Laxmi Kumar Parajuli, Hidetoshi Urakubo, Ai Takahashi-Nakazato, Roberto Ogelman, Hirohide Iwasaki, Masato Koike, Hyung-Bae Kwon, Shin Ishii, Won Chan Oh, Yugo Fukazawa and 1 more

Open access · goldAbstract read
In one paragraph

Article in eNeuro. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 29 citations in OpenAlex.

  1. Pathway-Specific Ultrastructure of Thalamocortical Synapses in Mouse Somatosensory Area S2.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
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  9. Unraveling the mysteries of dendritic spine dynamics: Five key principles shaping memory and cognition.Proceedings of the Japan Academy. Series B, Physical and biological sciences · 2023
    Article
  10. Introduction: What Are Dendritic Spines?Advances in neurobiology · 2023
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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

11 authors at 8 institutions in 2 countries.

Laxmi Kumar ParajuliDepartment of Cellular Neurobiology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan.
Hidetoshi UrakuboDepartment of Systems Science, Graduate School of Informatics, Kyoto University, Kyoto 606-8501, Japan.
Ai Takahashi-NakazatoDepartment of Cellular Neurobiology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan.
Roberto OgelmanDepartment of Pharmacology, University of Colorado School of Medicine, Aurora, CO 80045.ORCID 0000-0003-2644-6994
Hirohide IwasakiDepartment of Cellular Neurobiology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan.ORCID 0000-0002-7432-5938
Masato KoikeDepartment of Cell Biology and Neuroscience, Juntendo University Graduate School of Medicine, Tokyo 113-8421, Japan.ORCID 0000-0002-3174-5684
Hyung-Bae KwonMax Planck Florida Institute for Neuroscience, Jupiter, FL 33458.
Shin IshiiDepartment of Systems Science, Graduate School of Informatics, Kyoto University, Kyoto 606-8501, Japan.
Won Chan OhDepartment of Pharmacology, University of Colorado School of Medicine, Aurora, CO 80045.
Yugo FukazawaDivision of Brain Structure and Function, Research Center for Child Mental Development, Life Science Advancement Program, University of Fukui, Fukui 910-1193, Japan.ORCID 0000-0001-7436-8797
Shigeo OkabeDepartment of Cellular Neurobiology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan okabe@m.u-tokyo.ac.jp.ORCID 0000-0003-1216-8890
Juntendo University · JPKyoto University · JPThe University of Tokyo · JPGunma University · JPJohns Hopkins University · USMax Planck Florida Institute for Neuroscience · USUniversity of Colorado Denver · USUniversity of Fukui · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precise information on synapse organization in a dendrite is crucial to understanding the mechanisms underlying voltage integration and the variability in the strength of synaptic inputs across dendrites of different complex morphologies. Here, we used focused ion beam/scanning electron microscope (FIB/SEM) to image the dendritic spines of mice in the hippocampal CA1 region, CA3 region, somatosensory cortex, striatum, and cerebellum (CB). Our results show that the spine geometry and dimensions differ across neuronal cell types. Despite this difference, dendritic spines were organized in an orchestrated manner such that the postsynaptic density (PSD) area per unit length of dendrite scaled positively with the dendritic diameter in CA1 proximal stratum radiatum (PSR), cortex, and CB. The ratio of the PSD area to neck length was kept relatively uniform across dendrites of different diameters in CA1 PSR. Computer simulation suggests that a similar level of synaptic strength across different dendrites in CA1 PSR enables the effective transfer of synaptic inputs from the dendrites toward soma. Excitatory postsynaptic potentials (EPSPs), evoked at single spines by glutamate uncaging and recorded at the soma, show that the neck length is more influential than head width in regulating the EPSP magnitude at the soma. Our study describes thorough morphologic features and the organizational principles of dendritic spines in different brain regions.

Indexed as

DendritesSynapsesAnimalsComputer SimulationExcitatory Postsynaptic PotentialsMiceNeuronsdendritic spineelectron microscopyFIB/SEMglutamate uncagingpostsynaptic densitysimulation

Identifiers

PMID33109633
PMCPMC7772515
OpenAlexW3094789505

What OpenQuestion 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 OpenQuestion graph.