Evidence map›Paper›PMID 40303890›Full record

SynthesisFrontiers in neurology2025

Research progress of quantitative electroencephalography in post-ischemic stroke mental disorders.

Ai-Ling Liu, Ming-Hao Du, Yu-Lei Liu, Cheng-Jing Fei, Yu-Qian Xue, Rong Yin

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in neurology, 2025. 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

6 authors.

Ai-Ling LiuFirst School of Clinical Medicine, Gansu University of Chinese Medicine, Lanzhou, China.
Ming-Hao DuFirst School of Clinical Medicine, Gansu University of Chinese Medicine, Lanzhou, China.
Yu-Lei LiuFirst School of Clinical Medicine, Gansu University of Chinese Medicine, Lanzhou, China.
Cheng-Jing FeiFirst School of Clinical Medicine, Gansu University of Chinese Medicine, Lanzhou, China.
Yu-Qian XueFirst School of Clinical Medicine, Gansu University of Chinese Medicine, Lanzhou, China.
Rong YinNeurology Department, Gansu Provincial Central Hospital, Lanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative electroencephalography (qEEG) has significantly advanced in the field of neuroscience as a highly sensitive tool for routine monitoring following a stroke. It holds promise in diagnosing post-stroke psychiatric disorders and evaluating treatment outcomes. This review systematically examined published papers and thoroughly analyzed research findings on using qEEG indicators to monitor mental abnormalities in patients with ischemic stroke. The review covers key time periods, including the early stage (within 72 h), subacute stage (72 h to 1 month), and chronic stage (over 1 month) post-onset. The current evidence suggests that correlation indicators from electroencephalography (EEG) monitoring vary across different time periods, with Power spectrum analysis is a current research hotspot. This review summarizes and analyzes specialized studies on utilizing these qEEG indicators for monitoring and evaluating mental disorders in ischemic stroke, identifying key monitoring indicators highlighted in current research.

Indexed as

ischemic strokemental disorderprognostic indicatorsquantitative electroencephalographytime effects

Identifiers

PMID40303890
PMCPMC12039036

What OpenQuestion holds

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Registered trials

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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.