Evidence map›Paper›PMID 34333874›Full record

ArticleBrain and behavior2021

Dynamic functional connectivity changes in the triple networks and its association with cognitive impairment in hemodialysis patients.

Jianghui Cao, Guangzhi Liu, Xuekun Li, Zheng Yue, Jipeng Ren, Wei Zhu, Baolin Wu

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Article in Brain and behavior, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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8citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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8 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jianghui CaoDepartment of Radiology, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, China.
Guangzhi LiuDepartment of Neurology, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, China.
Xuekun LiDepartment of Magnetic Resonance, The First Affiliated Hospital of Xinxiang Medical University, Weihui, China.
Zheng YueDepartment of Magnetic Resonance, The First Affiliated Hospital of Xinxiang Medical University, Weihui, China.
Jipeng RenDepartment of Magnetic Resonance, The First Affiliated Hospital of Xinxiang Medical University, Weihui, China.
Wei ZhuDepartment of Radiology, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, China.
Baolin WuDepartment of Magnetic Resonance, The First Affiliated Hospital of Xinxiang Medical University, Weihui, China.ORCID 0000-0003-4574-9747

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCognitive impairment is common in hemodialysis (HD) patients; however, the underlying mechanisms have not been fully understood. The "triple-network model" that consists of the salience network (SN), central executive network (CEN), and default mode network (DMN) has been suggested to play an important role in various cognitive functions. However, dynamic functional connectivity (FC) alterations within the triple networks have not been investigated in HD patients.

methodsSixty-six HD patients and 66 healthy controls (HCs) were included in this study. The triple networks were identified using a group spatial independent component analysis, and dynamic FC was analyzed using a sliding window approach and k-means clustering algorithm. Furthermore, we analyzed the relationships between altered dynamic FC parameters and clinical variables in HD patients.

resultsThe intrinsic brain FC within the triple networks was clustered into four configuration states. Compared with HCs, HD patients spent more time in State 1, which was characterized by weak connections between the DMN and CEN and SN. HD patients showed lower number of transitions across different states than HCs. Moreover, the number of transitions and mean dwell time in State 1 were associated with cognitive performance in HD patients.

conclusionOur findings suggest abnormal dynamic FC properties within the triple networks in HD patients, which may provide new insights into the pathophysiological mechanisms of their cognitive deficits from the perspective of dynamic FC.

Indexed as

Cognitive DysfunctionMagnetic Resonance ImagingBrainBrain MappingHumansNeural PathwaysRenal Dialysiscentral executive networkdefault mode networkdynamic functional connectivityend-stage renal diseasehemodialysissalience network

Identifiers

PMID34333874
PMCPMC8413764

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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.