Evidence map›Paper›PMID 37900594›Full record

ArticleFrontiers in neurology2023

Quantitative GABA magnetic resonance spectroscopy as a measure of motor learning function in the motor cortex after subarachnoid hemorrhage.

Kenji Sugita, Mitsuhiro Anan, Hiroyuki Matsuta, Tsuyoshi Shimomura, Hirotaka Fudaba, Nobuhiro Hata, Minoru Fujiki

RetractedOpen access · goldAbstract readRetracted Publication
In one paragraph

Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Kenji Sugita *Department of Neurosurgery, Oita University School of Medicine, Oita, Japan.
Mitsuhiro Anan *Department of Neurosurgery, Oita University School of Medicine, Oita, Japan.
Hiroyuki Matsuta *Department of Neurosurgery, Oita University School of Medicine, Oita, Japan.
Tsuyoshi Shimomura *Department of Neurosurgery, Oita University School of Medicine, Oita, Japan.
Hirotaka Fudaba *Department of Neurosurgery, Oita University School of Medicine, Oita, Japan.
Nobuhiro Hata *Department of Neurosurgery, Oita University School of Medicine, Oita, Japan.
Minoru Fujiki *Department of Neurosurgery, Oita University School of Medicine, Oita, Japan.
Oita University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The neural mechanisms underlying gross and fine motor dysfunction after subarachnoid hemorrhage (SAH) remain unknown. The γ-aminobutyric acid (GABA) deficit hypothesis proposes that reduced neuronal GABA concentrations and the subsequent lack of GABA-mediated inhibition cause motor impairment after SAH. This study aimed to explore the correlation between GABA levels and a behavioral measure of motor performance in patients with SAH. Motor cortical GABA levels were assessed in 40 patients with SAH and 10 age-matched healthy controls using proton magnetic resonance spectroscopy. The GABA and N-acetylasparate (NAA) ratio was measured in the normal gray matter within the primary motor cortex. The relationship between GABA concentration and hand-motor performance was also evaluated. Results showed significantly lower GABA levels in patients with SAH's left motor cortex than in controls (GABA/NAA ratio: 0.282 ± 0.085 vs. 0.341 ± 0.031, respectively;

Indexed as

magnetic resonance spectroscopymotor dysfunctionprimary motor cortexsubarachnoid hemorrhageγ-aminobutyric acid

Identifiers

PMID37900594
PMCPMC10603245
OpenAlexW4387539114

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.