Evidence map›Paper›PMID 35078209›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2022

Brain functional network abnormalities in parkinson's disease with mild cognitive impairment.

Xueling Suo, Du Lei, Nannan Li, Jiaxin Peng, Chaolan Chen, Wenbin Li, Kun Qin, Graham J Kemp, Rong Peng, Qiyong Gong

Open access · bronzeAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 9% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 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 4 institutions in 3 countries.

Xueling SuoHuaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China.
Du LeiDepartment of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH 45227, USA.
Nannan LiDepartment of Neurology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China.
Jiaxin PengDepartment of Neurology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China.
Chaolan ChenDepartment of Neurology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China.
Wenbin LiHuaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China.
Kun QinHuaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China.
Graham J KempLiverpool Magnetic Resonance Imaging Centre (LiMRIC) and Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool L69 3GE, UK.
Rong PengDepartment of Neurology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China.
Qiyong GongHuaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China.ORCID 0000-0002-5912-4871
Sichuan University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNUniversity of Cincinnati · USUniversity of Liverpool · GB

Funding

Medical Research Council MR/P020941/1
6 · The paper itself

Abstract

Mild cognitive impairment in Parkinson's disease (PD-M) is related to a high risk of dementia. This study explored the whole-brain functional networks in early-stage PD-M. Forty-one patients with PD classified as cognitively normal (PD-N, n = 17) and PD-M (n = 24) and 24 demographically matched healthy controls (HC) underwent clinical and neuropsychological evaluations and resting-state functional magnetic resonance imaging. The global, regional, and modular topological characteristics were assessed in the brain functional networks, and their relationships to cognitive scores were tested. At the global level, PD-M and PD-N exhibited higher characteristic path length and lower clustering coefficient, local and global efficiency relative to HC. At the regional level, PD-M and PD-N showed lower nodal centrality in sensorimotor regions relative to HC. At the modular level, PD-M showed lower intramodular connectivity in default mode and cerebellum modules, and lower intermodular connectivity between default mode and frontoparietal modules than PD-N, correlated with Montreal Cognitive Assessment scores. Early-stage PD patients showed weaker small-worldization of brain networks. Modular connectivity alterations were mainly observed in patients with PD-M. These findings highlight the shared and distinct brain functional network dysfunctions in PD-M and PD-N, and yield insight into the neurobiology of cognitive decline in PD.

Indexed as

Cognitive DysfunctionParkinson DiseaseBrainBrain MappingHumansMagnetic Resonance Imagingfunctional connectivitygraph theorymild cognitive impairmentParkinson’s diseasepsychoradiologyresting-state fMRI

Identifiers

PMID35078209
PMCPMC9923713
OpenAlexW4205632005

What OpenQuestion holds

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LicenceCC BY-NC
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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.