Evidence map›Paper›PMID 34446742›Full record

ArticleScientific reports2021

Effect of education on functional network edge efficiency in Alzheimer's disease.

Yeshin Kim, Sung-Woo Kim, Sang Won Seo, Hyemin Jang, Ko Woon Kim, Soo Hyun Cho, Si Eun Kim, Seung Joo Kim, Jin San Lee, Sung Tae Kim and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Observational
  4. Article
  5. Article
  6. 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

13 authors.

Yeshin Kim *Department of Neurology, Kangwon National University Hospital, Kangwon National University College of Medicine, Chuncheon, Republic of Korea.
Sung-Woo Kim *Department of Bio-Convergence Engineering, College of Health Science, Korea University, Seoul, Republic of Korea.
Sang Won SeoDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 50 Ilwon-dong, Gangnam-gu, Seoul, 135-710, Republic of Korea.
Hyemin JangDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 50 Ilwon-dong, Gangnam-gu, Seoul, 135-710, Republic of Korea.
Ko Woon KimDepartment of Neurology, Jeonbuk National University Medical School & Hospital, Jeonju, Korea.
Soo Hyun ChoDepartment of Neurology, Chonnam National University Hospital, Gwangju, Korea.
Si Eun KimDepartments of Neurology, Inje University College of Medicine, Haeundae Paik Hospital, Busan, South Korea.
Seung Joo KimDepartment of Neurology, Gyeongsang National University School of Medicine and Gyeonsang National University Changwon Hospital, Changwon, South Korea.
Jin San LeeDepartment of Neurology, Kyung Hee University Hospital, Seoul, South Korea.
Sung Tae KimDepartment of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Duk L NaDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 50 Ilwon-dong, Gangnam-gu, Seoul, 135-710, Republic of Korea.
Joon-Kyung SeongDepartment of Artificial Intelligence, College of Informatics, Korea University, Seoul, Republic of Korea. jkseong@korea.ac.kr.
Hee Jin KimDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 50 Ilwon-dong, Gangnam-gu, Seoul, 135-710, Republic of Korea. evekhj@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the effect of education on the edge efficiency in resting state functional networks (RSFNs) in amnestic mild cognitive impairment (aMCI) and Alzheimer's disease dementia (ADD). We collected the data of 57 early aMCI, 141 late aMCI, 173 mild ADD, and 39 moderate-to-severe ADD patients. We used years of education as a proxy for cognitive reserve. We measured edge efficiency for each edge in RSFNs, and performed simple slope analyses to discover their associations with education level among the four groups. In the late aMCI, a sub-network that had hub nodes in the right middle frontal gyrus and the right posterior cingulate gyrus, showed a positive association between RSFN edge efficiency and education (threshold = 2.5, p = 0.0478). There was no negative effect of education on the RSFN edge efficiency. In the early aMCI, mild ADD, and moderate-to-severe ADD, there were no sub-networks showing positive or negative correlation between education and RSFN edge efficiency. There was a positive effect of higher education on RSFN edge efficiency in the late aMCI, but not in the early aMCI or ADD. This indicates that in late aMCI, those who have higher education level have greater ability to resist collapsed functional network.

Indexed as

Educational StatusAgedAged, 80 and overAlgorithmsAlzheimer DiseaseCognitionCognitive DysfunctionDementiaFemaleGyrus CinguliHumansMagnetic Resonance ImagingMaleMemoryMiddle AgedModels, Neurological

Identifiers

PMID34446742
PMCPMC8390462

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.