Evidence map›Paper›PMID 37190596›Full record

ArticleBrain sciences2023

Local Brain Network Alterations and Olfactory Impairment in Alzheimer's Disease: An fMRI and Graph-Based Study.

Bing Zhu, Qi Li, Yang Xi, Xiujun Li, Yu Yang, Chunjie Guo

Open access · goldAbstract read
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Article in Brain sciences, 2023. 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
1.8field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Bing ZhuSchool of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130022, China.
Qi LiSchool of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130022, China.
Yang XiZhongshan Institute of Changchun University of Science and Technology, Zhongshan 528437, China.
Xiujun LiSchool of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130022, China.
Yu YangDepartment of Neurology and Neuroscience Center, The First Hospital of Jilin University, Changchun 130021, China.
Chunjie GuoDepartment of Radiology, The First Hospital of Jilin University, Changchun 130021, China.
Changchun University of Science and Technology · CNFirst Hospital of Jilin University · CNJilin Normal University · CN

Funding

Jilin Scientific and Technological Development Program; Science and Technology Research Project of Jilin Provincial Department of Education; National Natural Science Foundation of China; Natural Science Foundation of Jilin Province, et al. No. 20200802004GH; No. JJKH20210099KJ; No. 81600923; No. 20210101273JC; No. 2020B47; No. JDYY2021-A0010
6 · The paper itself

Abstract

Alzheimer's disease (AD) is associated with the abnormal connection of functional networks. Olfactory impairment occurs in early AD; therefore, exploring alterations in olfactory-related regions is useful for early AD diagnosis. We combined the graph theory of local brain network topology with olfactory performance to analyze the differences in AD brain network characteristics. A total of 23 patients with AD and 18 normal controls were recruited for resting-state functional magnetic resonance imaging (fMRI), clinical neuropsychological examinations and the University of Pennsylvania Smell Identification Test (UPSIT). Between-group differences in the topological properties of the local network were compared. Pearson correlations were explored based on differential brain regions and olfactory performance. Statistical analysis revealed a correlation of the degree of cognitive impairment with olfactory recognition function. Local node topological properties were significantly altered in many local brain regions in the AD group. The nodal clustering coefficients of the bilateral temporal pole: middle temporal gyrus (TPOmid), degree centrality of the left insula (INS.L), degree centrality of the right middle temporal gyrus (MTG.R), and betweenness centrality of the left middle temporal gyrus (MTG.L) were related to olfactory performance. Alterations in local topological properties combined with the olfactory impairment can allow early identification of abnormal olfactory-related regions, facilitating early AD screening.

Indexed as

Alzheimer’s diseasebrain networkgraph theoryolfactionresting-state fMRI

Identifiers

PMID37190596
PMCPMC10137180
OpenAlexW4362698858

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.