Evidence map›Paper›PMID 41611873›Full record

ReviewNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2026

Frontier and hot topics in Magnetoencephalography(MEG) in neurological diseases.

Nanjie Chen, Jin Ding, Min Xiang, Zhenyu Liu, Fuzhi Cao

Abstract readReview
PubMed Publisher
In one paragraph

Review in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Nanjie Chen *School of Instrumentation Science and Optoelectronic Engineering, Beihang University, Beijing, China.ORCID http://orcid.org/0009-0004-6327-4751
Jin Ding *School of Instrumentation Science and Optoelectronic Engineering, Beihang University, Beijing, China.
Min XiangSchool of Instrumentation Science and Optoelectronic Engineering, Beihang University, Beijing, China.
Zhenyu LiuSchool of Instrumentation Science and Optoelectronic Engineering, Beihang University, Beijing, China.
Fuzhi CaoSchool of Instrumentation Science and Optoelectronic Engineering, Beihang University, Beijing, China. caofuzhi@buaa.edu.cn.

Funding

Innovation Program for Quantum Science and Technology under Grant No.2021ZD0300503
6 · The paper itself

Abstract

Magnetoencephalography (MEG), a non-invasive neuroimaging technique with millisecond temporal resolution and millimeter spatial resolution, is an essential tool for investigating neurological disorders. This study conducted a systematic analysis of 4,040 relevant publications from the Web of Science database (2000-2024) using VOSviewer and CiteSpace to identify research hotspots and trends in MEG applications for neurological disorders over the past 24 years. The analysis revealed a steady annual increase in publications, and showed that the research evolved in three distinct phases: the early period (2000-2004) focused primarily on fundamental MEG principles, the intermediate period (2005-2015) shifted toward MEG signal analysis methods including network analysis, and the recent period (2016-2024) emphasized brain network functional connectivity analysis. Emerging research hotspots converged on the clinical application of analytical methods such as brain functional connectivity, encompassing areas such as the early diagnosis of Alzheimer's disease and preoperative evaluation for epilepsy. This study provided the first comprehensive bibliometric analysis of research hotspots and developmental trends in MEG applications for neurological disorders. These findings provided researchers with a clear understanding of the field's evolution and current landscape, thereby facilitating the rapid identification of promising research directions.

Indexed as

BrainMagnetoencephalographyNervous System DiseasesBibliometricsHumansGlobal trendLiterature metrics analysisMagnetoencephalographyNeurological disorders

Identifiers

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.