Evidence map›Paper›PMID 29352127›Full record

ArticleScientific reports2018

Structural Covariance of Gray Matter Volume in HIV Vertically Infected Adolescents.

Jielan Li, Lei Gao, Zhi Wen, Jing Zhang, Panying Wang, Ning Tu, Hao Lei, Fuchun Lin, Xi'en Gui, Guangyao Wu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.4field-weighted citation impact, top 23% 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

24 citing papers in PubMed, 34 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

10 authors at 3 institutions in 1 country.

Jielan LiDepartment of Magnetic Resonance Imaging, Zhongnan Hospital of Wuhan University, Wuhan, China.
Lei GaoDepartment of Magnetic Resonance Imaging, Zhongnan Hospital of Wuhan University, Wuhan, China.
Zhi WenDepartment of Magnetic Resonance Imaging, Zhongnan Hospital of Wuhan University, Wuhan, China.
Jing ZhangDepartment of Magnetic Resonance Imaging, Zhongnan Hospital of Wuhan University, Wuhan, China.
Panying WangDepartment of Magnetic Resonance Imaging, Zhongnan Hospital of Wuhan University, Wuhan, China.
Ning TuDepartment of Magnetic Resonance Imaging, Zhongnan Hospital of Wuhan University, Wuhan, China.
Hao LeiNational Center for Magnetic Resonance in Wuhan, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, China.
Fuchun LinNational Center for Magnetic Resonance in Wuhan, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, China.
Xi'en GuiDepartment of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China.
Guangyao WuDepartment of Magnetic Resonance Imaging, Zhongnan Hospital of Wuhan University, Wuhan, China. wuguangy2002@163.com.
Wuhan University · CNZhongnan Hospital of Wuhan University · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human immunodeficiency virus (HIV) infection significantly affect neurodevelopmental and behavioral outcomes. We investigated whether alterations of gray matter organization and structural covariance networks with vertical HIV infection adolescents exist, by using the GAT toolbox. MRI data were analysed from 25 HIV vertically infected adolescents and 33 HIV-exposed-uninfected control participants. The gray matter volume (GMV) was calculated, and structural brain networks were reconstructed from gray matter co-variance. Gray matter losses were pronounced in anterior cingulate cortex (ACC), right pallidum, right occipital lobe, inferior parietal lobe, and bilateral cerebellum crus. The global brain network measures were not significantly different between the groups; however, the nodal alterations were most pronounced in frontal, temporal, basal ganglia, cerebellum, and temporal lobes. Brain hubs in the HIV-infected subjects increased in number and tended to shift to sensorimotor and temporal areas. In the HIV-infected subjects, decreased GMVs in ACC and bilateral cerebellum were related to lower Mini-Mental State Examination scores; the CD4 counts were positively related to the GMVs in ACC and sensorimotor areas. These findings suggest that focally reduced gray matter, disrupted nodal profiles of structural wirings, and a shift in hub distribution may represent neuroanatomical biomarkers of HIV infection on the developing brain.

Indexed as

AdolescentArea Under CurveCD4 Lymphocyte CountChildFemaleGray MatterHIV InfectionsHumansInfectious Disease Transmission, VerticalMagnetic Resonance ImagingMaleOrgan SizeViral Load

Identifiers

PMID29352127
PMCPMC5775353
OpenAlexW2783686536

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.