Evidence map›Paper›PMID 39494201›Full record

ArticleJournal of inflammation research2024

Clinical Features and Electroencephalogram Analysis of Brain Network Functional Connectivity in Anti-Leucine-Rich Glioma-Inactivated 1 Antibody Encephalitis.

Xiaosu Guo, Huimin Shi, Yuteng Sun, Yuan Xing, Xin Guo, Zhiyuan Shen, Mengyi Zheng, Yaxin Zhang, Yicun Jia, Ye Li and 2 more

Abstract read
In one paragraph

Article in Journal of inflammation research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

12 authors.

Xiaosu Guo *Department of Neurology, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Huimin Shi *Department of Neurology, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Yuteng SunDepartment of Neurology, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Yuan XingDepartment of Neurology, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Xin GuoDepartment of Neurology, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Zhiyuan ShenDepartment of Neurology, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Mengyi ZhengDepartment of Neurology, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Yaxin ZhangDepartment of Neurology, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.ORCID 0009-0005-9843-0969
Yicun JiaDepartment of Neurology, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Ye LiDepartment of Neurology, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Junqiang BaoDepartment of Neurology, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Shujuan TianDepartment of Neurology, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To summarize the clinical manifestations, laboratory findings, and magnetic resonance imaging (MRI) characteristics of anti-leucine-rich glioma-inactivated 1 (LGI1) antibody encephalitis (anti-LGI1 antibody encephalitis) and explore the electroencephalogram (EEG) features. Patients and Methods: We retrospectively analyzed the medical history of 16 patients diagnosed with anti-LGI1 antibody encephalitis at the First Hospital of Hebei Medical University from 2021 to 2023. EEGs of patients with anti-LGI1 antibody encephalitis and healthy individuals were analyzed. Based on Video-EEG signal analysis of EEG δ, θ, α, β frequency bands, weighted phase lag index values were calculated to form brain network matrices, studying differences in coherence between brain regions of patients with anti-LGI1 antibody encephalitis and healthy individuals. Results: Patients with anti-LGI1 antibody encephalitis often presented with subacute onset seizures and cognitive decline. Routine test of cerebrospinal fluid was mostly normal. Serum testing revealed hyponatremia in 62.50% of patients, along with positive serum antinuclear antibodies, decreased vitamin B12, and abnormal cytokines such as interleukin-6. Head MRI revealed abnormal lesions related to the disease in seven cases (43.75%), mainly located in the unilateral or bilateral frontal and temporal lobes of the hippocampus. The EEG mainly showed generalized and focal slow waves, sometimes with focal discharges. Brain network functional connectivity analysis found a significant weakening of functional connections in the frontal-temporal lobe in the δ and β frequency bands. Intravenous pulse corticosteroids and intravenous immunoglobulin are first-line immunotherapies for anti-LGI1 antibody-related encephalitis. The disease recovery and cognitive decline improved in most patients. Conclusion: Anti-LGI1 antibody encephalitis is characterized by seizures and cognitive dysfunction. Serum may show abnormalities in immune indicators such as cytokines. Head MRI mainly reveals abnormal signals in the frontal-temporal lobes and the hippocampus. EEG brain network connectivity analysis reveals characteristic weakening of functional connections in the frontal-temporal lobe in the δ and β frequency bands.

Indexed as

anti-LGI1 antibody encephalitisbrain network functional connectivityelectroencephalogramepilepsyimmunotherapy

Identifiers

PMID39494201
PMCPMC11531283

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.