Evidence map›Paper›PMID 37587138›Full record

ArticleScientific reports2023

Altered structural hippocampal intra-networks in a general elderly Japanese population with mild cognitive impairment.

Sera Kasai, Keita Watanabe, Yoshihito Umemura, Yuka Ishimoto, Miho Sasaki, Haruka Nagaya, Soichiro Tatsuo, Tatsuya Mikami, Yoshinori Tamada, Satoru Ide and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 89% 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

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

2 citing papers in PubMed, 0 citations in OpenAlex.

  1. Article
  2. 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 at 4 institutions in 1 country.

Sera KasaiDepartment of Radiology, Graduate School of Medicine, Hirosaki University, Hirosaki, Japan.
Keita WatanabeDepartment of Radiology, Kyoto Prefectural University of Medicine, 465 Kajiimachi, Jokyo-ku, Kyoto-shi, Kyoto-fu, Japan. kw0928@koto.kpu-m.ac.jp.
Yoshihito UmemuraDepartment of Radiology, Graduate School of Medicine, Hirosaki University, Hirosaki, Japan.
Yuka IshimotoDepartment of Radiology, Graduate School of Medicine, Hirosaki University, Hirosaki, Japan.
Miho SasakiDepartment of Radiology, Graduate School of Medicine, Hirosaki University, Hirosaki, Japan.
Haruka NagayaDepartment of Radiology, Graduate School of Medicine, Hirosaki University, Hirosaki, Japan.
Soichiro TatsuoDepartment of Radiology, Graduate School of Medicine, Hirosaki University, Hirosaki, Japan.
Tatsuya MikamiInnovation Center for Health Promotion, Hirosaki University, Hirosaki, Japan.
Yoshinori TamadaInnovation Center for Health Promotion, Hirosaki University, Hirosaki, Japan.
Satoru IdeDepartment of Radiology, University of Occupational and Environmental Health, School of Medicine, Kitakyushu, Japan.
Masahiko TomiyamaDepartment of Neurology, Graduate School of Medicine, Hirosaki University, Hirosaki, Japan.
Masashi MatsuzakaDepartment of Medical Informatics, Hirosaki University Hospital, Hirosaki, Japan.
Shingo KakedaDepartment of Radiology, Graduate School of Medicine, Hirosaki University, Hirosaki, Japan.
Hirosaki University · JPHirosaki University Hospital · JPKyoto Prefectural University of Medicine · JPUniversity of Occupational and Environmental Health Japan · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although altered networks inside the hippocampus (hippocampal intra-networks) have been observed in dementia, the evaluation of hippocampal intra-networks using magnetic resonance imaging (MRI) is challenging. We employed conventional structural imaging and incident component analysis (ICA) to investigate the structural covariance of the hippocampal intra-networks. We aimed to assess altered hippocampal intra-networks in patients with mild cognitive impairment (MCI). A cross-sectional study of 2122 participants with 3T MRI (median age 69 years, 60.9% female) were divided into 218 patients with MCI and 1904 cognitively normal older adults (CNOA). By employing 3D T1-weighted imaging, voxels within the hippocampus were entered into the ICA analysis to extract the structural covariance intra-networks within the hippocampus. The ICA extracted 16 intra-networks from the hippocampal structural images, which were divided into two bilateral networks and 14 ipsilateral networks. Of the 16 intra-networks, two (one bilateral network and one ipsilateral networks) were significant predictors of MCI from the CNOA after adjusting for age, sex, education, disease history, and hippocampal volume/total intracranial volume ratio. In conclusion, we found that the relationship between hippocampal intra-networks and MCI was independent from the hippocampal volume. Our results suggest that altered hippocampal intra-networks may reflect a different pathology in MCI from that of brain atrophy.

Indexed as

Cognitive DysfunctionEast Asian PeopleAgedCross-Sectional StudiesEducational StatusFemaleHippocampusHumansMale

Identifiers

PMID37587138
PMCPMC10432547
OpenAlexW4385873885

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.