Evidence map›Paper›PMID 42442958›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2026

Plasticity in Thoracic Paravertebral Sympathetic Postganglionic Neurons after High Spinal Cord Transection.

Yaqing Li, Krishna Pusuluri, Mallika Halder, Alan Sokoloff, Astrid A Prinz, Shawn Hochman

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Yaqing LiDepartment of Cell Biology, School of Medicine, Emory University, Atlanta, Georgia 30322 yaqing.li@emory.edu.
Krishna PusuluriDepartment of Biology, Emory University, Atlanta, Georgia 30322.
Mallika HalderDepartment of Cell Biology, School of Medicine, Emory University, Atlanta, Georgia 30322.
Alan SokoloffDepartment of Cell Biology, School of Medicine, Emory University, Atlanta, Georgia 30322.
Astrid A PrinzDepartment of Biology, Emory University, Atlanta, Georgia 30322.ORCID https://orcid.org/0000-0001-5600-1924
Shawn HochmanDepartment of Cell Biology, School of Medicine, Emory University, Atlanta, Georgia 30322.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Various presympathetic descending brain circuits recruit spinal cord preganglionic neurons to encode central sympathetic drive via their synaptic actions onto sympathetic postganglionic neurons (SPNs)-the final sympathetic output neurons. Thoracic paravertebral ganglia SPNs (tSPNs) provide distributed control over body tissue systems via functional subpopulations. High thoracic spinal cord injuries (SCIs) compromise supraspinal control of SPNs, causing dysautonomias including hypotension. In adult mice of either sex, we tested whether SCI-induced chronic loss of supraspinal control of tSPN activity leads to homeostatic increases in excitability. tSPN excitability spanned a >10-fold range in both sham and SCI populations, governed by a strong linear (ohmic) relationship between cell resistance and threshold depolarizing current (rheobase). The substantial variability obscured SCI-induced intrinsic plasticity. Dendritic length was reduced, as was measured cell capacitance in neuropeptide Y-expressing (NPY

Indexed as

Ganglia, SympatheticNeuronal PlasticityNeuronsSpinal Cord InjuriesSympathetic Fibers, PostganglionicAction PotentialsAnimalsFemaleMaleMiceMice, Inbred C57BLNeuropeptide YThoracic VertebraeNeuropeptide Yhigh thoracic spinal cord injuryNPYparavertebral postganglionic neuronsplasticity; vasomotor

Identifiers

PMID42442958
PMCPMC13535799

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.