Evidence map›Paper›PMID 36034135›Full record

ArticleFrontiers in aging neuroscience2022

Comparison of brain microstructure alterations on diffusion kurtosis imaging among Alzheimer's disease, mild cognitive impairment, and cognitively normal individuals.

Xiaoqi Chu, Peng Wu, Hongting Yan, Xuejing Chen, Liting Fan, Zheng Wu, Chunmei Tao, Yue Ma, Yu Fu, Yunchu Guo and 3 more

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Xiaoqi ChuDepartment of Neurology, Second Affiliated Hospital of Dalian Medical University, Dalian, China.
Peng WuDepartment of Radiology, Second Affiliated Hospital of Dalian Medical University, Dalian, China.
Hongting YanDepartment of Neurology, Second Affiliated Hospital of Dalian Medical University, Dalian, China.
Xuejing ChenDepartment of Neurology, Second Affiliated Hospital of Dalian Medical University, Dalian, China.
Liting FanDepartment of Neurology, Second Affiliated Hospital of Dalian Medical University, Dalian, China.
Zheng WuDepartment of Neurology, Second Affiliated Hospital of Dalian Medical University, Dalian, China.
Chunmei TaoDepartment of Neurology, Second Affiliated Hospital of Dalian Medical University, Dalian, China.
Yue MaDepartment of Neurology, Second Affiliated Hospital of Dalian Medical University, Dalian, China.
Yu FuDepartment of Neurology, Second Affiliated Hospital of Dalian Medical University, Dalian, China.
Yunchu GuoDepartment of Neurology, Second Affiliated Hospital of Dalian Medical University, Dalian, China.
Yang DongDepartment of Radiology, Second Affiliated Hospital of Dalian Medical University, Dalian, China.
Chao YangDepartment of Radiology, First Affiliated Hospital of Dalian Medical University, Dalian, China.
Yusong GeDepartment of Neurology, Second Affiliated Hospital of Dalian Medical University, Dalian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Our study aimed to explore the differences in brain microstructure in patients with Alzheimer's disease (AD) and with mild cognitive impairment (MCI) and in individuals with normal cognition using diffusion kurtosis imaging (DKI) to identify a potential non-invasive biomarker of AD. Materials and methods: A total of 61 subjects were included in our study, including 20 subjects diagnosed with AD, 21 patients diagnosed with amnestic MCI, and 20 cognitively normal individuals. We acquired magnetic resonance imaging (MRI) scans, and DKI images were processed. Twelve regions of interest were drawn, and various parameters were measured and analyzed using SPSS version 11.0 software. Results: Comparative analysis showed that differences in brain regions in terms of mean diffusion (MD) and mean kurtosis (MK) between groups were the most marked. Precuneus MD, temporal MK, precuneus MK, and hippocampal MK were significantly correlated with neuropsychological test scores. Hippocampal MK showed the strongest correlation with the medial temporal lobe atrophy score ( Conclusion: DKI is capable of detecting differences in brain microstructure between patients with AD, patients with MCI, and cognitively normal individuals. Moreover, it compensates for the deficiencies of conventional MRI in detecting pathological changes in microstructure before the appearance of macroscopic atrophy. Hippocampus MK was the most sensitive single parameter map for differentiating patients with AD, patients with MCI, and cognitively normal individuals.

Indexed as

Alzheimer’s diseasebrain microstructure alterationsdiffusion kurtosis imagingmild cognitive impairmentneuropsychological test

Identifiers

PMID36034135
PMCPMC9416000

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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.