Evidence map›Paper›PMID 40437836›Full record

ArticleBrain and behavior2025

White Matter Microstructure Alterations in Older Adults With Dyslipidemia Associated With Cognitive and Locomotor Dysfunction Evaluated Using Neurite Orientation Dispersion and Density Imaging.

Zaimire Mahemuti, Christina Andica, Koji Kamagata, Kaito Takabayashi, Wataru Uchida, Sen Guo, Takashi Arai, Hiroki Tabata, Hitoshi Naito, Yoshifumi Tamura and 3 more

Abstract read
In one paragraph

Article in Brain and behavior, 2025. 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
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.

  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.

Zaimire MahemutiDepartment of Radiology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan.ORCID https://orcid.org/0009-0000-9328-541X
Christina AndicaDepartment of Radiology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan.ORCID https://orcid.org/0000-0002-9339-6950
Koji KamagataDepartment of Radiology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan.
Kaito TakabayashiDepartment of Radiology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan.
Wataru UchidaFaculty of Health Data Science, Juntendo University, Urayasu, Chiba, Japan.
Sen GuoDepartment of Radiology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan.ORCID https://orcid.org/0000-0003-2740-0744
Takashi AraiDepartment of Radiology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan.
Hiroki TabataSportology Center, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan.ORCID https://orcid.org/0000-0001-9396-5247
Hitoshi NaitoDepartment of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan.
Yoshifumi TamuraSportology Center, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan.ORCID https://orcid.org/0000-0002-1685-7821
Ryuzo KawamoriSportology Center, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan.
Hirotaka WatadaSportology Center, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan.
Shigeki AokiDepartment of Radiology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan.

Funding

Brain/MINDS Beyond program of the Japan Agency for Medical Research and Development JP18dm0307004Brain/MINDS Beyond program of the Japan Agency for Medical Research and Development JP19dm0307101Brain/MINDS Beyond program of the Japan Agency for Medical Research and Development JP21wm0425006Brain/MINDS Beyond program of the Japan Agency for Medical Research and Development JP24wm0625310Grant-in-Aid for Special Research in Subsidies for ordinary expenses of private schools from the Promotion and Mutual Aid Corporation for Private Schools of JapanJapan Society for the Promotion of Science Grants-in-Aid for Scientific Research 23H02865Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research 23K14927Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research 23K27556JST FOREST Program JPMJFR231PJuntendo Research Branding ProjectMEXT-Supported Program for the Strategic Research Foundation at Private Universities, 2014-2018 (S1411006) from the Ministry of Education, Culture, Sports, Science and Technology S1411006
6 · The paper itself

Abstract

introductionDiffusion tensor imaging (DTI) studies have shown white matter (WM) microstructural alterations in individuals with dyslipidemia; however, DTI indices are not specific to WM pathology. However, neurite orientation dispersion and density imaging (NODDI) provides more specific measurements of WM microstructure. This study aimed to evaluate dyslipidemia-related WM microstructure alterations and their association with cognitive and motor functions using NODDI.

methodsThe DTI and NODDI metrics were analyzed through tract-based spatial statistics between 24 older adults with dyslipidemia (low-density lipoprotein ≥140 mg/dL, high-density lipoprotein <40 mg/dL, and triglyceride ≥150 mg/dL, or under treatment) and 18 healthy control participants (HCs). Partial correlation tests were performed between diffusion magnetic resonance imaging measures and lipid profiles, cognitive, or locomotor scores in the dyslipidemia and HC groups separately. WM volumetry between HCs and dyslipidemia groups was also assessed. Age, gender, intracranial volume, and years of education were included as covariates in all analyses. A false discovery rate-corrected P value of <0.05 was considered statistically significant.

resultsIndividuals with dyslipidemia exhibited a notably reduced neurite density index (NDI) in several WM areas, including the posterior and superior corona radiata, the body, the genu, and the splenium of the corpus callosum, as well as the bilateral anterior and posterior internal capsule, compared with HCs. In the dyslipidemia group, lower NDI was significantly correlated with lower scores on the stand-up test and the Japanese version of the Montreal Cognitive Assessment. No significant differences were found in DTI metrics or WM volumes between dyslipidemia individuals and HCs.

conclusionOur findings suggest that NODDI can serve as a biomarker for assessing WM microstructural alterations in older adults with dyslipidemia. Particularly, NODDI indicates a lower intra-axonal volume, which may suggest axonal loss associated with dyslipidemia, and correlates with cognitive and locomotor function decline.

Indexed as

Cognitive DysfunctionDyslipidemiasNeuritesWhite MatterAgedBrainCognitionDiffusion Tensor ImagingFemaleHumansMaleMiddle Agedcognitive functiondiffusion MRIdiffusion tensor imagingdyslipidemialocomotor functionneurite orientation dispersion and density imaging

Identifiers

PMID40437836
PMCPMC12120193

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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.