Evidence map›Paper›PMID 40542997›Full record

ReviewJournal of molecular neuroscience : MN2025

The Progress of Cognitive Dysfunction Impairment Caused by Temporal Lobe Epilepsy.

Qianqian Wang, Yanguang Geng, Xin Li, Yunhua Hao, Shuqi Huang

Abstract readReview
In one paragraph

Review in Journal of molecular neuroscience : MN, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Neuropsychological assessment in adult epilepsy: rationale, test selection, and clinical integration across non-surgical care in Italian patients.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Review
  2. Article
  3. Article
  4. Review
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.

Qianqian WangNeurology Department, Shanghai Tianyou Hospital, Shanghai, China.
Yanguang GengNeurology Department, Shanghai Tianyou Hospital, Shanghai, China.
Xin LiNeurology Department, Shanghai Tianyou Hospital, Shanghai, China.
Yunhua HaoNeurology Department, Shanghai Tianyou Hospital, Shanghai, China. yhhao2013@163.com.
Shuqi HuangNeurology Department, Shanghai Tianyou Hospital, Shanghai, China. doc-huang@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epilepsy is a chronic disease that is characterized primarily by seizures. One of the most common and detrimental comorbidities of epilepsy is cognitive impairment. Approximately, 30-40% of patients with chronic epilepsy experience cognitive impairment, which significantly impacts their daily functioning and quality of life and imposes a heavy burden on both patients and society. Numerous studies have established a correlation between epilepsy and cognitive impairment, showing that epilepsy patients exhibit varying degrees of cognitive deficits influenced by various factors. However, the clinical manifestations, underlying mechanisms, and influencing factors of cognitive impairment in epilepsy patients are still not fully understood. In this review, we aim to summarize and integrate the current understanding of the mechanisms underlying learning and memory impairments in temporal lobe epilepsy (TLE). We summarize the effects of abnormal neuronal discharges, synaptic plasticity alterations, neuroinflammation, and other potential contributors to cognitive dysfunction in TLE.

Indexed as

Cognitive DysfunctionEpilepsy, Temporal LobeAnimalsHumansNeuronal PlasticityATF4BDNFCognitive dysfunctionNCAM1NMDATemporal lobe epilepsy

Identifiers

PMID40542997
PMCPMC12182514

What OpenQuestion holds

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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 OpenQuestion graph.