Cited by 64Dementia and Cognitive Impairment ResearchFunctional Brain Connectivity StudiesAdvanced MRI Techniques and Applications

Aggravated cognitive and brain functional impairment in mild cognitive impairment patients with type 2 diabetes: a resting-state functional MRI study

Zhou, Xiaoqing, Zhang, Junying, Chen, Yaojing, Ma, Tao, Wang, Yunxia, Wang, Jun, Zhang, Zhanjun·2014·Journal of Alzheimer's Disease

Abstract

Type 2 diabetes mellitus is a metabolic disorder and a risk factor for dementia and mild cognitive impairment (MCI), which could also increase the risk of progression from MCI to dementia. The present study evaluated the spontaneous neuronal activity of 31 patients with MCI using resting-state functional MRI. The patients were divided into two groups (17 MCI patients without diabetes, and 14 patients with type 2 diabetes who were considered as the MCI-DM group) and 17 well-matched healthy controls were also recruited. The amplitude of low-frequency fluctuations (ALFF) of spontaneous blood oxygen level dependent signals was then applied to assess neuroimaging changes. To further investigate the impact of type 2 diabetes on cognition, the correlation of ALFF and the neuropsychological tests for the MCI-DM and MCI group were calculated. MCI-DM patients showed diffused ALFF changes in a variety of brain regions that were significantly related to cognitive performance, including the frontal lobe, the temporal lobe, the hippocampus, the amygdala, and the precuneus during a resting state; whereas, the alterations were much less pronounced in the MCI patients without diabetes. These findings provide new insights into understanding essential of diabetes mellitus and may help to clarify the relationship between diabetes mellitus and dementia.

Integrity signals

Registry

Crossref · 10.3233/jad-132354

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Authors
Zhou, X., Zhang, J., Chen, Y., Ma, T., Wang, Y., Wang, J., & Zhang, Z.
Affiliations
Beijing Normal University (CN)
Corresponding author
Zhang, Zhanjun
Venue
Journal of Alzheimer's Disease
Published
2014-07-16
Volume
41
Issue
3
Pages
925-935
ISSN
  • 1387-2877 (ISSN-L)
  • 1875-8908
OpenAlex
W1705001022
Cited by
64
References
4
Citations by year
2026: 1 · 2025: 5 · 2024: 6 · 2023: 5 · 2022: 5 · 2021: 11 · 2020: 4 · 2019: 5 · 2018: 5 · 2017: 6 · 2016: 7 · 2015: 1 · 2014: 3
FWCI
4.33
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Alzheimer s Disease (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Academy of Medical Sciences
  • Chinese Academy of Medical Sciences
  • China Academy of Chinese Medical Sciences
  • Program for New Century Excellent Talents in University
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Keywords
type 2 diabetes, mild cognitive impairment
MeSH terms
Aged, Analysis of Variance, Brain, Cognition Disorders, Diabetes Mellitus, Type 2, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Neuropsychological Tests, Rest, Statistics as Topic

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review