Evidence map›Paper›PMID 38339890›Full record

ArticleHuman brain mapping2024

Topographic metabolism-function relationships in Alzheimer's disease: A simultaneous PET/MRI study.

Wenli Li, Miao Zhang, Ruodong Huang, Jialin Hu, Lijun Wang, Guanyu Ye, Hongping Meng, Xiaozhu Lin, Jun Liu, Biao Li and 2 more

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2024. 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
2.7field-weighted citation impact, top 10% 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, 8 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

12 authors at 2 institutions in 2 countries.

Wenli LiSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0002-9854-9127
Miao ZhangDepartment of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ruodong HuangSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Jialin HuSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Lijun WangDepartment of Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China.
Guanyu YeDepartment of Neurology & Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hongping MengDepartment of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiaozhu LinDepartment of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jun LiuDepartment of Neurology & Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Biao LiDepartment of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yaoyu ZhangSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0002-6619-0762
Yao LiSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Shanghai Jiao Tong University · CNSecond Military Medical University · CN

Funding

Guangci Clinical Technology and Innovation Program of Ruijin Hospital GCQH2023061Key Program of Multidisciplinary Cross Research Foundation of Shanghai Jiao Tong University YG2021QN40Key Program of Multidisciplinary Cross Research Foundation of Shanghai Jiao Tong University YG2022QN035Key Program of Multidisciplinary Cross Research Foundation of Shanghai Jiao Tong University YG2023QNA46National Natural Science Foundation of China 82151314National Natural Science Foundation of China 82372073New Faculty Start-up Foundation of Shanghai Jiao Tong University 21X010500734Shanghai Municipal Health Commission 202240031Shanghai Municipal Key Clinical Specialty shslczdzk03403Shanghai Pilot Program for Basic Research - Shanghai Jiao Tong University 21TQ1400203
6 · The paper itself

Abstract

Disruptions of neural metabolism and function occur in parallel during Alzheimer's disease (AD). While many studies have shown diverse metabolic-functional relationships in specific brain regions, much less is known about how large-scale network-level functional activity is associated with the topology of metabolism in AD. In this study, we took the advantages of simultaneous PET/MRI and multivariate analyses to investigate the associations between AD-related stereotypical spatial patterns (topographies) of glucose metabolism, measured by fluorodeoxyglucose PET, and functional connectivity, measured by resting-state functional MRI. A total of 101 participants, including 37 patients with AD, 25 patients with mild cognitive impairment (MCI), and 39 cognitively normal controls, underwent PET/MRI scans and cognitive assessments. Three pairs of distinct but optimally correlated metabolic and functional topographies were identified, encompassing large-scale networks including the default-mode, executive and control, salience, attention, and subcortical networks. Importantly, the metabolic-functional associations were not only limited to one-to-one-corresponding regions, but also occur in remote and non-overlapping regions. Furthermore, both glucose metabolism and functional connectivity, as well as their linkages, exhibited various degrees of disruptions in patients with MCI and AD, and were correlated with cognitive decline. In conclusion, our results support distributed and heterogeneous topographic associations between metabolism and function, which are jeopardized by AD. Findings of this study may deepen our understanding of the pathological mechanism of AD through the perspectives of both local energy efficiency and long-term interactions between synaptic disruption and functional disconnection contributing to the clinical symptomatology in AD.

Indexed as

Alzheimer DiseaseCognitive DysfunctionBrainGlucoseHumansMagnetic Resonance ImagingPositron-Emission TomographyGlucoseAlzheimer's diseasebrain networksfunctional connectivityglucose metabolismmetabolic-functional associationsimultaneous FDG-PET/fMRI

Identifiers

PMID38339890
PMCPMC10964919
OpenAlexW4391473148

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.