Evidence map›Paper›PMID 42147145›Full record

ReviewNeuropsychiatric disease and treatment2026

Role of Electroencephalographic Biomarkers as Predictors of Post-Stroke Cognitive Outcomes in Patients with Cerebral Infarction: Literature Review.

Di Pu, Yan Xiong

Abstract readReview
In one paragraph

Review in Neuropsychiatric disease and treatment, 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

2 authors.

Di PuDepartment of Neurology, the First Affiliated Hospital of ChongQing Medical and Pharmaceutical College, ChongQing, 400000, People's Republic of China.ORCID 0009-0009-8964-8893
Yan XiongDepartment of Neurology, the First Affiliated Hospital of ChongQing Medical and Pharmaceutical College, ChongQing, 400000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cerebral infarction (ischemic stroke) is a leading cause of long-term disability. It is often associated with cognitive impairment that has a significant impact on quality of life. Predicting biomarkers is necessary, and electroencephalographic (EEG) biomarkers have emerged as promising tools to predict cognitive outcomes in these patients. To conduct this literature review, a comprehensive search was performed in different databases, including PubMed, Scopus, Web of Science, ScienceDirect, and Google Scholar from inception to 2025, focusing on biomarkers and the role of ECG in predicting cognitive outcomes. In addition, recent clinical trials were also reviewed and assessed for the role of biomarkers in predicting cognitive outcomes. This literature review suggests that specific EEG abnormalities, including generalized slowing or altered power in alpha, delta, beta, gamma, and theta bands, as well as disrupted functional connectivity, consistently correlate with deficits in memory, attention, and executive functioning. In addition, the ability to assess the effectiveness of cognitive rehabilitation interventions has also been demonstrated. It provides non-invasive, cost-effective, and accessible insights into brain function and event-related ability to assess cognitive prognosis after stroke. EEG biomarkers can be used as a predictor for cognitive impairments in patients with cerebral infarction (ischemic stroke).

Indexed as

cognitive impairmentselectroencephalographic biomarkersischemic strokememory loss

Identifiers

PMID42147145
PMCPMC13179147

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.