Evidence map›Paper›PMID 35997922›Full record

ArticleBrain imaging and behavior2022

Gray matter atrophy and corresponding impairments in connectivity in patients with anti-N-methyl-D-aspartate receptor encephalitis.

Yuanyuan Guo, Xinyi Lv, Juanjuan Zhang, Chenglong Li, Ling Wei, Nong Zhou, Jinping Xu, Yanghua Tian, Kai Wang

Abstract read
PubMed Publisher
In one paragraph

Article in Brain imaging and behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. A novelFrontiers in genetics · 2025
    Article
  2. Article
  3. Neuropsychological Testing in Autoimmune Encephalitis: A Scoping Review.Neurology(R) neuroimmunology & neuroinflammation · 2024
    Article
  4. Review
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 at 3 institutions in 2 countries.

Yuanyuan Guo *Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.ORCID http://orcid.org/0000-0002-1295-7411
Xinyi Lv *Department of Neurology, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, China.
Juanjuan ZhangDepartment of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
Chenglong LiDepartment of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
Ling WeiDepartment of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
Nong ZhouDepartment of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
Jinping XuInstitute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China. jp.xu@siat.ac.cn.
Yanghua TianDepartment of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China. ayfytyh@126.com.
Kai WangDepartment of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
Anhui Medical University · CNChinese Academy of Sciences · CNUniversity of Science and Technology of China · CN

Funding

National Natural Science Foundation of China 62006220Natural Science Foundation of China 32071054Shenzhen Science and Technology Research Program JCYJ20200109114816594
6 · The paper itself

Abstract

Anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis is a severe autoimmune disease that is commonly accompanied by cognitive impairment and various neurological and psychiatric symptoms, advanced image analyses help explore the pathogenesis of this disease. Therefore, this study aimed to explore specific structural and functional alterations and their relationship with the clinical symptoms of anti-NMDAR encephalitis. In this study, twenty-two patients with anti-NMDAR encephalitis after the acute stage and 29 controls received cognitive assessments and magnetic resonance imaging. Grey matter atrophy was measured using voxel-based morphometry, and functional alterations in abnormal regions were subsequently investigated using resting state functional connectivity (RSFC). Finally, correlation analyses were performed to explore the associations between imaging alterations and cognitive assessments. The patients demonstrated significant gray matter atrophy in the bilateral triangle part of the inferior frontal gyrus (triIFG.L and triIFG.R) and right precuneus, decreased RSFC between triIFG.L and bilateral Heschl gyrus (HES), decreased RSFC between triIFG.R and HES.R, decreased RSFC between right precuneus and left cerebellum, and increased RSFC between triIFG.R and left superior frontal gyrus. Further correlation analyses showed that the gray matter volume in triIFG.R and decreased RSFC between triIFG.L and HES.R were associated with decreased memory scores, whereas decreased RSFC between triIFG.R and HES.R was marginally correlated with the disease course in patients. In conclusion, this study suggests that cognitive impairments in patients with anti-NMDAR encephalitis may be mainly associated with gray matter atrophy and abnormal RSFC in the triIFG. These findings provide new insights into anti-NMDAR encephalitis pathogenesis and help explore potential treatments.

Indexed as

Anti-N-Methyl-D-Aspartate Receptor EncephalitisGray MatterAtrophyHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingAnti-N-methyl-D-aspartate receptor encephalitisCognitive impairmentFunctional connectivityGray matter volumeVoxel-based morphometry

Identifiers

PMID35997922
OpenAlexW4292695504

What OpenQuestion 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 OpenQuestion graph.