Evidence map›Paper›PMID 38330417›Full record

ArticleJournal of clinical neurology (Seoul, Korea)2024

Alterations of Structural Network Efficiency in Early-Onset and Late-Onset Alzheimer's Disease.

Suyeon Heo, Cindy W Yoon, Sang-Young Kim, Woo-Ram Kim, Duk L Na, Young Noh

Abstract read
In one paragraph

Article in Journal of clinical neurology (Seoul, Korea), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Monoclonal Antibodies-A New Horizon in Alzheimer's Treatment.Journal of clinical neurology (Seoul, Korea) · 2025
    Article
  7. 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

6 authors.

Suyeon Heo *Gachon University, College of Medicine, Incheon, Korea.ORCID https://orcid.org/0000-0002-5587-0930
Cindy W Yoon *Department of Neurology, Inha University School of Medicine, Incheon, Korea.ORCID https://orcid.org/0000-0002-4697-6610
Sang-Young KimNeuroscience Research Institute, Gachon University, Incheon, Korea.ORCID https://orcid.org/0000-0002-2620-3071
Woo-Ram KimNeuroscience Research Institute, Gachon University, Incheon, Korea.ORCID https://orcid.org/0000-0003-1361-4426
Duk L NaDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-0098-7592
Young NohNeuroscience Research Institute, Gachon University, Incheon, Korea.ORCID https://orcid.org/0000-0002-9633-3314

Funding

Gil Medical Center, Gachon University FRD2022-16Korea Health Industry Development Institute HI14C1135National Research Foundation of Korea 2021R1A6A1A03038996
6 · The paper itself

Abstract

background and purposeEarly- and late-onset Alzheimer's disease (EOAD and LOAD, respectively) share the same neuropathological hallmarks of amyloid and neurofibrillary tangles but have distinct cognitive features. We compared structural brain connectivity between the EOAD and LOAD groups using structural network efficiency and evaluated the association of structural network efficiency with the cognitive profile and pathological markers of Alzheimer's disease (AD).

methodsThe structural brain connectivity networks of 80 AD patients (47 with EOAD and 33 with LOAD) and 57 healthy controls were reconstructed using diffusion-tensor imaging. Graph-theoretic indices were calculated and intergroup differences were evaluated. Correlations between network parameters and neuropsychological test results were analyzed. The correlations of the amyloid and tau burdens with network parameters were evaluated for the patients and controls.

resultsCompared with the age-matched control group, the EOAD patients had increased global path length and decreased global efficiency, averaged local efficiency, and averaged clustering coefficient. In contrast, no significant differences were found in the LOAD patients. Locally, the EOAD patients showed decreases in local efficiency and the clustering coefficient over a wide area compared with the control group, whereas LOAD patients showed such decreases only within a limited area. Changes in network parameters were significantly correlated with multiple cognitive domains in EOAD patients, but only with Clinical Dementia Rating Sum-of-Boxes scores in LOAD patients. Finally, the tau burden was correlated with changes in network parameters in AD signature areas in both patient groups, while there was no correlation with the amyloid burden.

conclusionsThe impairment of structural network efficiency and its effects on cognition may differ between EOAD and LOAD.

Indexed as

Alzheimer diseasediffusion-tensor imagingearly-onset Alzheimer's diseaselate-onset Alzheimer's diseasewhite-matter connectivity

Identifiers

PMID38330417
PMCPMC11076196

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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.