Evidence map›Paper›PMID 37448688›Full record

SynthesisFrontiers in aging neuroscience2023

Functional MRI-specific alterations in frontoparietal network in mild cognitive impairment: an ALE meta-analysis.

Xinyi Yang, Huimin Wu, Yu Song, Shanshan Chen, Honglin Ge, Zheng Yan, Qianqian Yuan, Xuhong Liang, Xingjian Lin, Jiu Chen

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in aging neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.6field-weighted citation impact, top 3% 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

13 citing papers in PubMed, 32 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

10 authors at 3 institutions in 1 country.

Xinyi Yang *Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Huimin Wu *Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Yu Song *Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Shanshan ChenDepartment of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Honglin GeDepartment of Neurosurgery, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Zheng YanDepartment of Neurosurgery, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Qianqian YuanDepartment of Radiology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Xuhong LiangDepartment of Radiology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Xingjian LinDepartment of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Jiu ChenDepartment of Radiology, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China.
Nanjing Medical University · CNNanjing Brain Hospital · CNNanjing Drum Tower Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mild cognitive impairment (MCI) depicts a transitory phase between healthy elderly and the onset of Alzheimer's disease (AD) with worsening cognitive impairment. Some functional MRI (fMRI) research indicated that the frontoparietal network (FPN) could be an essential part of the pathophysiological mechanism of MCI. However, damaged FPN regions were not consistently reported, especially their interactions with other brain networks. We assessed the fMRI-specific anomalies of the FPN in MCI by analyzing brain regions with functional alterations. Methods: PubMed, Embase, and Web of Science were searched to screen neuroimaging studies exploring brain function alterations in the FPN in MCI using fMRI-related indexes, including the amplitude of low-frequency fluctuation, regional homogeneity, and functional connectivity. We integrated distinctive coordinates by activating likelihood estimation, visualizing abnormal functional regions, and concluding functional alterations of the FPN. Results: We selected 29 studies and found specific changes in some brain regions of the FPN. These included the bilateral dorsolateral prefrontal cortex, insula, precuneus cortex, anterior cingulate cortex, inferior parietal lobule, middle temporal gyrus, superior frontal gyrus, and parahippocampal gyrus. Any abnormal alterations in these regions depicted interactions between the FPN and other networks. Conclusion: The study demonstrates specific fMRI neuroimaging alterations in brain regions of the FPN in MCI patients. This could provide a new perspective on identifying early-stage patients with targeted treatment programs. Systematic review registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023432042, identifier: CRD42023432042.

Indexed as

activation likelihood estimationamplitude of low-frequency fluctuationfrontoparietal networkfunctional connectivitymild cognitive impairmentregional homogeneity

Identifiers

PMID37448688
PMCPMC10336325
OpenAlexW4382399856

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.