Evidence map›Paper›PMID 35653914›Full record

SynthesisNeuroImage. Clinical2022

Understanding brain function in vascular cognitive impairment and dementia with EEG and MEG: A systematic review.

Lucía Torres-Simón, Sandra Doval, Alberto Nebreda, Sophia J Llinas, Elisabeth B Marsh, Fernando Maestú

Registry-linked trialOpen access · goldAbstract readSystematic Review
In one paragraph

Synthesis in NeuroImage. Clinical, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07372937 (Investigating Neural Correlates of Gait Abnormalities in Patients With Cerebral Small Vessel Disease), which is not on this map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 4% 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.

NCT07372937 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Investigating Neural Correlates of Gait Abnormalities in Patients With Cerebral Small Vessel Disease

TypeobservationalSponsorAin Shams UniversityRan2026 to 2027Enrolled40ConditionsCerebral Small Vessel DiseaseArmsNo Intervention: Observational
3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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  10. Review
  11. Article
  12. Article
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  14. Article
  15. A Perspective: Challenges in Dementia Research.Medicina (Kaunas, Lithuania) · 2022
    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

6 authors at 2 institutions in 3 countries.

Lucía Torres-SimónCenter of Cognitive and Computational Neuroscience; Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid, Madrid, Spain. Electronic address: lucia.torres@ucm.es.
Sandra DovalCenter of Cognitive and Computational Neuroscience; Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid, Madrid, Spain.
Alberto NebredaCenter of Cognitive and Computational Neuroscience; Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid, Madrid, Spain.
Sophia J LlinasDepartment of Neurology, the Johns Hopkins School of Medicine, Baltimore, MD USA.
Elisabeth B MarshDepartment of Neurology, the Johns Hopkins School of Medicine, Baltimore, MD USA.
Fernando MaestúCenter of Cognitive and Computational Neuroscience; Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid, Madrid, Spain.
Universidad Complutense de Madrid · ESJohns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vascular Cognitive Impairment (VCI) is the second most prevalent dementia after Alzheimer's Disease (AD), and cerebrovascular disease (CBVD) is a major comorbid contributor to the progression of most neurodegenerative diseases. Early differentiation of cognitive impairment is critical given both the high prevalence of CBVD, and that its risk factors are modifiable. The ability for electroencephalogram (EEG) and magnetoencephalogram (MEG) to detect changes in brain functioning for other dementias suggests that they may also be promising biomarkers for early VCI. The present systematic review aims to summarize the literature regarding electrophysiological patterns of mild and major VCI. Despite considerable heterogeneity in clinical definition and electrophysiological methodology, common patterns exist when comparing patients with VCI to healthy controls (HC) and patients with AD, though there is a low specificity when comparing between VCI subgroups. Similar to other dementias, slowed frequency patterns and disrupted inter- and intra-hemispheric connectivity are repeatedly reported for VCI patients, as well as longer latencies and smaller amplitudes in evoked responses. Further study is needed to fully establish MEG and EEG as clinically useful biomarkers, including a clear definition of VCI and standardized methodology, allowing for comparison across groups and consolidation of multicenter efforts.

Indexed as

Alzheimer DiseaseCerebrovascular DisordersCognition DisordersCognitive DysfunctionDementia, VascularBrainElectroencephalographyHumansMulticenter Studies as TopicElectroencephalogramMagnetoencephalogramNeurophysiologyVascular Cognitive Impairment (VCI)Vascular Dementia (VaD)

Identifiers

PMID35653914
PMCPMC9163840
OpenAlexW4280612473

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.