Evidence map›Paper›PMID 42755830›Full record

ReviewFrontiers in synaptic neuroscience2026

Activation of silent synapses driven by emerging technologies: mechanisms, disease associations, and prospects for clinical translation.

Yongli Li, Yong Liao, Shouyao Zhang, Chenggui Xu, Ruhua Lan, Pengbin Zhao, Ruilu Liu, Yongli Song, Xinghe Zhang

Abstract readReview
In one paragraph

Review in Frontiers in synaptic neuroscience, 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

9 authors.

Yongli Li *First Clinical Medical School, Yunnan University of Chinese Medicine, Kunming, Yunnan, China.
Yong Liao *Second Clinical Medical School, Second Affiliated Hospital, Yunnan University of Chinese Medicine, Kunming, Yunnan, China.
Shouyao ZhangFirst Clinical Medical School, Yunnan University of Chinese Medicine, Kunming, Yunnan, China.
Chenggui XuSecond Clinical Medical School, Second Affiliated Hospital, Yunnan University of Chinese Medicine, Kunming, Yunnan, China.
Ruhua LanChuxiong Yi Autonomous Prefecture Hospital of Traditional Chinese Medicine, Chuxiong, Yunnan, China.
Pengbin ZhaoSecond Clinical Medical School, Second Affiliated Hospital, Yunnan University of Chinese Medicine, Kunming, Yunnan, China.
Ruilu LiuSecond Clinical Medical School, Second Affiliated Hospital, Yunnan University of Chinese Medicine, Kunming, Yunnan, China.
Yongli SongSchool of Basic Medicine, Yunnan University of Chinese Medicine, Kunming, Yunnan, China.
Xinghe ZhangSecond Clinical Medical School, Second Affiliated Hospital, Yunnan University of Chinese Medicine, Kunming, Yunnan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Silent synapses represent a unique class of synaptic connections that are non-functional at rest but possess the potential to become functional, serving as a critical reservoir for neural plasticity. Their activation mechanisms not only challenge traditional models of synaptic maturation but also provide novel insights into brain function regulation and disease pathology. This article provides a systematic review of the regulatory mechanisms underlying silent synapse activation, encompassing pre-synaptic calcium signaling-mediated vesicle cycling and active zone (AZ) optimization, post-synaptic

Indexed as

activation mechanismsclinical translationdisease associationemerging technologiesneural plasticitysilent synapses

Identifiers

PMID42755830
PMCPMC13581764

What Socratic holds

Textmetadata
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.