Alterations of default mode functional connectivity in individuals with end-stage renal disease and mild cognitive impairment

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Abstract

Background

Mild cognitive impairment (MCI) occurs frequently in many end stage renal disease (ESRD) patients, may significantly worsen survival odds and prognosis. However, the exact neuropathological mechanisms of MCI combined with ESRD are not fully clear. This study examined functional connectivity (FC) alterations of the default-mode network (DMN) in individuals with ESRD and MCI.

Methods

Twenty–four individuals with ESRD identified as MCI patients were included in this study; of these, 19 and 5 underwent hemodialysis (HD) and peritoneal dialysis (PD), respectively. Another group of 25 age-, sex- and education level-matched subjects were recruited as the control group. All participants underwent resting-state functional MRI and neuropsychological tests; the ESRD group underwent additional laboratory testing. Independent component analysis (ICA) was used for DMN characterization. With functional connectivity maps of the DMN derived individually, group comparison was performed with voxel-wise independent samples t-test, and connectivity changes were correlated with neuropsychological and clinical variables.

Results

Compared with the control group, significantly decreased functional connectivity of the DMN was observed in the posterior cingulate cortex (PCC) and precuneus (Pcu), as well as in the medial prefrontal cortex (MPFC) in the ESRD group. Functional connectivity reductions in the MPFC and PCC/Pcu were positively correlated with hemoglobin levels. In addition, functional connectivity reduction in the MPFC showed positive correlation with Montreal Cognitive Assessment (MoCA) score.

Conclusion

Decreased functional connectivity in the DMN may be associated with neuropathological mechanisms involved in ESRD and MCI.

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Most cited references 21

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Tensorial extensions of independent component analysis for multisubject FMRI analysis.

C. Beckmann, S M Smith (2005)

We discuss model-free analysis of multisubject or multisession FMRI data by extending the single-session probabilistic independent component analysis model (PICA; Beckmann and Smith, 2004. IEEE Trans. on Medical Imaging, 23 (2) 137-152) to higher dimensions. This results in a three-way decomposition that represents the different signals and artefacts present in the data in terms of their temporal, spatial, and subject-dependent variations. The technique is derived from and compared with parallel factor analysis (PARAFAC; Harshman and Lundy, 1984. In Research methods for multimode data analysis, chapter 5, pages 122-215. Praeger, New York). Using simulated data as well as data from multisession and multisubject FMRI studies we demonstrate that the tensor PICA approach is able to efficiently and accurately extract signals of interest in the spatial, temporal, and subject/session domain. The final decompositions improve upon PARAFAC results in terms of greater accuracy, reduced interference between the different estimated sources (reduced cross-talk), robustness (against deviations of the data from modeling assumptions and against overfitting), and computational speed. On real FMRI 'activation' data, the tensor PICA approach is able to extract plausible activation maps, time courses, and session/subject modes as well as provide a rich description of additional processes of interest such as image artefacts or secondary activation patterns. The resulting data decomposition gives simple and useful representations of multisubject/multisession FMRI data that can aid the interpretation and optimization of group FMRI studies beyond what can be achieved using model-based analysis techniques.

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Selective aberrant functional connectivity of resting state networks in social anxiety disorder.

Wei Liao, Huafu Chen, Yuan Yuan Feng … (2010)

Several functional MRI (fMRI) activation studies have highlighted specific differences in brain response in social anxiety disorder (SAD) patients. Little is known, so far, about the changes in the functional architecture of resting state networks (RSNs) in SAD during resting state. We investigated statistical differences in RSNs on 20 SAD and 20 controls using independent component analysis. A diffuse impact on widely distributed RSNs and selective changes of RSN intrinsic functional connectivity were observed in SAD. Functional connectivity was decreased in the somato-motor (primary and motor cortices) and visual (primary visual cortex) networks, increased in a network including medial prefrontal cortex which is thought to be involved in self-referential processes, and increased or decreased in the default mode network (posterior cingulate cortex/precuneus, bilateral inferior parietal gyrus, angular gyrus, middle temporal gyrus, and superior and medial frontal gyrus) which has been suggested to be involved in episodic memory, and self-projection, the dorsal attention network (middle and superior occipital gyrus, inferior and superior parietal gyrus, and middle and superior frontal gyrus) which is thought to mediate goal-directed top-down processing, the core network (insula-cingulate cortices) which is associated with task control function, and the central-executive network (fronto-parietal cortices). A relationship between functional connectivity and disease severity was found in specific regions of RSNs, including medial and lateral prefrontal cortex, as well as parietal and occipital regions. Our results might supply a novel way to look into neuro-pathophysiological mechanisms in SAD patients. Copyright 2010 Elsevier Inc. All rights reserved.

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Default-mode network disruption in mild traumatic brain injury.

Yongxia Zhou, Daniel Sodickson, Yvonne W. Lui … (2012)

To investigate the integrity of the default-mode network (DMN) by using independent component analysis (ICA) methods in patients shortly after mild traumatic brain injury (MTBI) and healthy control subjects, and to correlate DMN connectivity changes with neurocognitive tests and clinical symptoms. This study was approved by the institutional review board and complied with HIPAA regulations. Twenty-three patients with MTBI who had posttraumatic symptoms shortly after injury (<2 months) and 18 age-matched healthy control subjects were included in this study. Resting-state functional magnetic resonance imaging was performed at 3 T to characterize the DMN by using ICA methods, including a single-participant ICA on the basis of a comprehensive template from core seeds in the posterior cingulate cortex (PCC) and medial prefrontal cortex (MPFC) nodes. ICA z images of DMN components were compared between the two groups and correlated with neurocognitive tests and clinical performance in patients by using Pearson and Spearman rank correlation. When compared with the control subjects, there was significantly reduced connectivity in the PCC and parietal regions and increased frontal connectivity around the MPFC in patients with MTBI (P < .01). These frontoposterior opposing changes within the DMN were significantly correlated (r = -0.44, P = .03). The reduced posterior connectivity correlated positively with neurocognitive dysfunction (eg, cognitive flexibility), while the increased frontal connectivity correlated negatively with posttraumatic symptoms (ie, depression, anxiety, fatigue, and postconcussion syndrome). These results showed abnormal DMN connectivity patterns in patients with MTBI, which may provide insight into how neuronal communication and information integration are disrupted among DMN key structures after mild head injury. © RSNA, 2012.

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Author and article information

Contributors

Haitao Lu: vluhaitao@163.com

Zhengzhang Gu: radiogzz@163.com

Wei Xing: suzhxingwei@126.com

Shanhua Han: sena-han@hotmail.com

Jiangfen Wu: wjfyunzhu@163.com

Hua Zhou: zhouhua82@163.com

Jiule Ding: dingjiule@163.com

Jinggang Zhang: yanqing84@126.com

Journal

Journal ID (nlm-ta): BMC Nephrol

Journal ID (iso-abbrev): BMC Nephrol

Title: BMC Nephrology

Publisher: BioMed Central (London )

ISSN (Electronic): 1471-2369

Publication date (Electronic): 5 July 2019

Publication date PMC-release: 5 July 2019

Publication date Collection: 2019

Volume: 20

Electronic Location Identifier: 246

Affiliations

[1 ]GRID grid.452253.7, Department of Radiology, , The Third Affiliated Hospital of Soochow University, ; Changzhou, China

[2 ]Department of Radiology, Shanghai Fourth People’s Hospital, Shanghai, China

[3 ]GE Healthcare, Shanghai, China

[4 ]GRID grid.452253.7, Department of Nephrology, , The Third Affiliated Hospital of Soochow University, ; Changzhou, China

Article

Publisher ID: 1435

DOI: 10.1186/s12882-019-1435-6

PMC ID: 6612101

PubMed ID: 31277581

SO-VID: 88552a5e-bac2-4932-b9cc-75a9f06c22e9

License:

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

History

Date received : 18 October 2017

Date accepted : 24 June 2019

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ScienceOpen disciplines: Nephrology

Keywords: resting state fmri,end stage renal disease,mild cognitive impairment

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ScienceOpen disciplines: Nephrology

Keywords: resting state fmri, end stage renal disease, mild cognitive impairment

Alterations of default mode functional connectivity in individuals with end-stage renal disease and mild cognitive impairment

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Karger: Neurology and Neuroscience

Most cited references 21

Tensorial extensions of independent component analysis for multisubject FMRI analysis.

Selective aberrant functional connectivity of resting state networks in social anxiety disorder.

Default-mode network disruption in mild traumatic brain injury.

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