Evidence map›Paper›PMID 37259710›Full record

ArticleEpilepsia open2023

Differences in the topographical distribution of sleep spindles among adult epilepsy with cognitive impairment.

Yajin Huang, Yanjun Liu, Yaqing Liu, Juping Han, Hongmei Han, Junqiang Li, Tiancheng Wang

Open access · goldAbstract read
In one paragraph

Article in Epilepsia open, 2023. 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
0.9field-weighted citation impact, top 29% 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

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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, 5 citations in OpenAlex.

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4 · The record

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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

7 authors at 2 institutions in 1 country.

Yajin HuangThe Second Clinical Medical College, Lanzhou University, Lanzhou, China.ORCID 0000-0002-1814-8009
Yanjun LiuDepartment of Neurology, Epilepsy Center, Lanzhou University Second Hospital, Lanzhou University, Lanzhou, China.
Yaqing LiuThe Second Clinical Medical College, Lanzhou University, Lanzhou, China.
Juping HanDepartment of Rehabilitation Medicine, Hanzhong Central Hospital, Hanzhong, China.
Hongmei HanDepartment of Neurology, Epilepsy Center, Lanzhou University Second Hospital, Lanzhou University, Lanzhou, China.
Junqiang LiDepartment of Neurology, Epilepsy Center, Lanzhou University Second Hospital, Lanzhou University, Lanzhou, China.
Tiancheng WangThe Second Clinical Medical College, Lanzhou University, Lanzhou, China.
Lanzhou University Second Hospital · CNHanzhong Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCognitive comorbidities are common in epilepsy; however, symptomatic treatment is currently the only available effective therapy. Sleep, cognition, and epilepsy are closely associated. Therefore, many studies on epilepsy and cognition have focused on sleep structures, such as sleep spindles, which are considered windows to understanding the sleeping brain. This study aimed to investigate the relationship between sleep spindles and the severity of cognitive impairment in adult epilepsy.

methodsFifty-seven adults with epilepsy underwent overnight sleep electroencephalogram recordings and cognitive testing. Slow (9-12 Hz) and fast (12-15 Hz) spindle characteristics during N2 sleep were calculated using a convolutional neural network-based sleep staging system and automatic spindle detection algorithm. Repeated-measures analysis of variance was used to analyze differences in fast and slow spindle densities among subgroups of patients based on cognitive impairment severity.

resultsA significant between-group effect was observed for both slow and fast spindle densities. Multiple comparisons showed that slow and fast spindle densities of the severe cognitive impairment subgroup were lower than those of the noncognitive impairment subgroup (P < 0.05). Simple-effect analysis revealed differences in slow spindle density distributed among the EEG channels Fp1, Fp2, F3, C3, P4, O1, O2, F8, T4, T5, T6, Fz, and Cz (P < 0.05). Differences in fast spindle density were distributed among the channels Fp1, Fp2, F3, C3, O1, O2, F7, F8, T4, T5, T6, and Fz (P < 0.05). SIGNIFICANCE: Significant differences in topographical distribution of fast and slow spindle densities were observed at the scalp level among patients with different cognitive statuses. Compared with patients with no cognitive impairment, those with severe cognitive impairment had lower slow and fast spindle densities over multiple scalp regions during N2 sleep. This study provides a reference for objective assessment of cognitive dysfunction in epilepsy patients.

Indexed as

Cognitive DysfunctionEpilepsyAdultBrainHumansSleepSleep StagescognitionEEGepilepsyMMSEMoCAsleepsleep spindle

Identifiers

PMID37259710
PMCPMC10472368
OpenAlexW4378953212

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.