Evidence map›Paper›PMID 38686326›Full record

ArticleFrontiers in neuroscience2024

The covariant structural and functional neuro-correlates of cognitive impairments in patients with end-stage renal diseases.

Yuefan Liu, Huiying Wang, Guanchen Sha, Yutong Cao, Yongsheng Chen, Yuanyuan Chen, Jingyi Zhang, Chao Chai, Qiuyun Fan, Shuang Xia

Abstract read
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Article in Frontiers in neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing 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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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Yuefan LiuDepartment of Biomedical Engineering, Medical College, Tianjin University, Tianjin, China.
Huiying WangDepartment of Radiology, School of Medicine, Tianjin First Central Hospital, Nankai University, Tianjin, China.
Guanchen ShaDepartment of Biomedical Engineering, Medical College, Tianjin University, Tianjin, China.
Yutong CaoTianjin Key Laboratory of Brain Science and Neuroengineering, Tianjin, China.
Yongsheng ChenDepartment of Neurology, Wayne State University School of Medicine, Detroit, MI, United States.
Yuanyuan ChenTianjin Key Laboratory of Brain Science and Neuroengineering, Tianjin, China.
Jingyi ZhangDepartment of Radiology, School of Medicine, Tianjin First Central Hospital, Nankai University, Tianjin, China.
Chao ChaiDepartment of Radiology, School of Medicine, Tianjin First Central Hospital, Nankai University, Tianjin, China.
Qiuyun FanDepartment of Biomedical Engineering, Medical College, Tianjin University, Tianjin, China.
Shuang XiaDepartment of Radiology, School of Medicine, Tianjin First Central Hospital, Nankai University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cognitive impairment (CI) is a common complication of end-stage renal disease (ESRD) that is associated with structural and functional changes in the brain. However, whether a joint structural and functional alteration pattern exists that is related to CI in ESRD is unclear. Methods: In this study, instead of looking at brain structure and function separately, we aim to investigate the covariant characteristics of both functional and structural aspects. Specifically, we took the fusion analysis approach, namely, multimodal canonical correlation analysis and joint independent component analysis (mCCA+jICA), to jointly study the discriminative features in gray matter volume (GMV) measured by T1-weighted (T1w) MRI, fractional anisotropy (FA) in white matter measured by diffusion MRI, and the amplitude of low-frequency fluctuation (ALFF) measured by blood oxygenation-level-dependent (BOLD) MRI in 78 ESRD patients versus 64 healthy controls (HCs), followed by a mediation effect analysis to explore the relationship between neuroimaging findings, cognitive impairments and uremic toxins. Results: Two joint group-discriminative independent components (ICs) were found to show covariant abnormalities across FA, GMV, and ALFF (all Conclusion: The mCCA+jICA method was demonstrated to be capable of revealing covariant abnormalities across neuronal features of different types in ESRD patients as contrasted to HCs, and joint brain changes may play an important role in mediating the relationship between serum toxins and CIs in ESRD. Our results show the mCCA+jICA fusion analysis approach may provide new insights into similar neurobiological studies.

Indexed as

amplitude of low-frequency fluctuationcognitive impairmentend-stage renal diseasefractional anisotropygray matter volumemultimodal CCA-joint ICA

Identifiers

PMID38686326
PMCPMC11056510

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