Associations of the Disrupted Functional Brain Network and Cognitive Function in End-Stage Renal Disease Patients on Maintenance Hemodialysis: A Graph Theory-Based Study of Resting-State Functional Magnetic Resonance Imaging

Zhang, Die; Chen, Yingying; Lin, Lin; Xie, Qing; Chen, Chen; Wu, Jianlin; Li, Jing

doi:10.3389/fnhum.2021.716719

Cited by 6 publications

(8 citation statements)

References 58 publications

(85 reference statements)

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“…Patients with cognitive decline showed deficits in the nodal shortest path of superior frontal gyrus (dorsolateral) and other frontal regions (56). In addition, the network parameter g decreased significantly in patients with cognitive impairment and significantly associations were identified between the nodal parameters of the superior frontal gyrus (dorsolateral) and cognitive function scores in previous rs-fMRI study using graph theory (57). Therefore, we suspected that aberrations of DMN were associated with cognitive deficits of RC patients who had just completed chemotherapy treatment, which might be involved in the neuropathological mechanisms underlying the acute effects of chemotherapy on cognitive function.…”

Section: Discussionmentioning

confidence: 83%

Associations between disrupted functional brain network topology and cognitive impairment in patients with rectal cancer during chemotherapy

et al. 2022

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IntroductionCognitive impairment has been identified in patients with non-central nervous system cancer received chemotherapy. Chemotherapy-induced changes in the brain are considered as the possible causes of the cognitive deficits of patients. This study aimed to explore chemotherapy-related functional brain changes and cognitive impairment in rectal cancer (RC) patients who had just finished chemotherapy treatment.MethodsIn this study, RC patients after chemotherapy (on the day patients received the last dose of chemotherapy) (n=30) and matched healthy controls (HCs) (n=30) underwent cognitive assessments, structural magnetic resonance imaging (MRI) and resting-state functional MRI. The functional brain networks were constructed by thresholding the partial correlation matrices of 90 brain regions in the Anatomical Automatic Labeling template and the topologic properties were evaluated by graph theory analysis. Moreover, correlations between altered topological measures and scores of cognitive scales were explored in the patient group.ResultsCompared with HCs, RC patients had lower scores of cognitive scales. The functional brain network had preserved small-world topological features but with a tendency towards higher path length in the whole network. In addition, patients had decreased nodal global efficiency (Eglo(i)) in the left superior frontal gyrus (dorsolateral), superior frontal gyrus (orbital part), inferior frontal gyrus (opercular part), inferior frontal gyrus (triangular part) and right inferior frontal gyrus (triangular part). Moreover, values of Eglo(i) in the superior and inferior frontal gyrus were positively associated with cognitive function in the patient group.ConclusionThese results suggested that cognitive impairment was associated with disruptions of the topological organization in functional brain networks of RC patients who had just finished chemotherapy, which provided new insights into the pathophysiology underlying acute effects of chemotherapy on cognitive function.

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Section: Discussionmentioning

confidence: 83%

Associations between disrupted functional brain network topology and cognitive impairment in patients with rectal cancer during chemotherapy

et al. 2022

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“…Interestingly, accumulative rs-fMRI evidence has suggested that patients undergoing HD are associated with aberrant neuronal activities in widespread brain regions, including the sensorimotor network (SMN) regions, default mode network (DMN) regions, temporal lobe, amygdala, etc. [15][16][17]. However, despite a large body of empirical research in HD subject groups as has demonstrated, we noticed that results emphasizing on the specific research colony of HDWI cohort are still lacking.…”

Section: Introductionmentioning

confidence: 86%

“…In addition, conventional hemodialysis itself poses endothelial stress and injury on the already compromised vasculature system, consequently resulting in the declines of the brain function in HD subjects [37][38][39]. A large body of neuroimaging research in patients on HD [16,40,41] have discovered the reduced neural activity, changed cerebral perfusion in widespread brain regions, and related psychological impairment in HD patients. Particularly, a most recent multimodal fMRI study employed fMRI technique combined with arterial spin labeling (ASL) technique-a MRI method for evaluating the cerebral blood flow-to investigate the neurovascular coupling (NVC) mechanism of patients undergoing hemodialysis, and found significantly decreased ALFF-CBF values in several brain regions compared with the HCs [41].…”

Section: Brain Changes At the Global Levelmentioning

confidence: 99%

Identification of discriminative neuroimaging markers for patients on hemodialysis with insomnia: a fractional amplitude of low frequency fluctuation-based machine learning analysis

et al. 2023

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Background and objective Insomnia is one of the common problems encountered in the hemodialysis (HD) population, but the mechanisms remain unclear. we aimed to (1) detect the spontaneous brain activity pattern in HD patients with insomnia (HDWI) by using fractional fractional amplitude of low frequency fluctuation (fALFF) method and (2) further identify brain regions showing altered fALFF as neural markers to discriminate HDWI patients from those on hemodialysis but without insomnia (HDWoI) and healthy controls (HCs). Method We compared fALFF differences among HDWI subjects (28), HDWoI subjects (28) and HCs (28), and extracted altered fALFF features for the subsequent discriminative analysis. Then, we constructed a support vector machine (SVM) classifier to identify distinct neuroimaging markers for HDWI. Results Compared with HCs, both HDWI and HDWoI patients exhibited significantly decreased fALFF in the bilateral calcarine (CAL), right middle occipital gyrus (MOG), left precentral gyrus (PreCG), bilateral postcentral gyrus (PoCG) and bilateral temporal middle gyrus (TMG), whereas increased fALFF in the bilateral cerebellum and right insula. Conversely, increased fALFF in the bilateral CAL/right MOG and decreased fALFF in the right cerebellum was observed in HDWI patients when compared with HDWoI patients. Moreover, the SVM classification achieved a good performance [accuracy = 82.14%, area under the curve (AUC) = 0.8202], and the consensus brain regions with the highest contributions to classification were located in the right MOG and right cerebellum. Conclusion Our result highlights that HDWI patients had abnormal neural activities in the right MOG and right cerebellum, which might be potential neural markers for distinguishing HDWI patients from non-insomniacs, providing further support for the pathological mechanism of HDWI.

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“…Uremia toxin not only directly causes nervous system damage through the “kidney‐brain” axis system, but also indirectly affects the central nervous system by causing systemic inflammation, endothelial dysfunction, and atherosclerosis, resulting in impaired cognitive function 6 . Researches on the brain structure and function of ESRD patients may help people to understand the causes of cognitive impairment in ESRD patients, which is conducive to prevention and treatment 7 …”

Section: Introductionmentioning

confidence: 99%

“…6 Researches on the brain structure and function of ESRD patients may help people to understand the causes of cognitive impairment in ESRD patients, which is conducive to prevention and treatment. 7 Nowadays, Montreal Cognitive Assessment (MoCA) is commonly applied to judge whether the cognitive functions of ESRD patients are normal. 8 Patients with MoCA scores less than 26 are considered to have cognitive impairment; otherwise, patients with MoCA scores greater than or equal to 26 are considered to have normal cognitive function.…”

Section: Introductionmentioning

confidence: 99%

Global iterative optimization framework for predicting cognitive function statuses of patients with end‐stage renal disease

Sheng

Zhang

Shi

et al. 2023

Int J Imaging Syst Tech

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The existing methods to determine the cognitive function level of end-stage renal disease (ESRD) are not only inaccurate but also susceptible to the influence of the patient's education level, emotional state, and examination environment. We proposed a global iterative optimization framework (GIO) to accurately predict cognitive function statuses of ESRD patients without being affected by the above factors. First, the functional magnetic resonance imaging (fMRI) data preprocessed and the time series were extracted to construct brain functional networks. Secondly, the areas under curve (AUC) of topological attribute parameters in the brain functional networks were extracted as features. After statistical analysis, the global efficiency, the characteristic path length, and the shortest path length in the small-world network were selected as features for linear fusion. Finally, the support vector regression (SVR) was used as the basis of GIO framework, and the global iterative search strategy was introduced to find out the most appropriate penalty factor and radial basis function parameters. Achieving the objective of accurately predicting the cognitive function status of patients with end-stage renal disease. Since this framework uses SVR which has special advantages in processing small sample data, and introduces appropriate parameter selection method, the prediction ability of GIO framework has been significantly improved. Experimental results demonstrate that the final prediction accuracy of the proposed framework is significantly better than those of SVR, LSSVR, GMO-SVR, GMO-LSSVR, and PSO-SVR. The mean absolute error (MAE) and the mean absolute percentage error (MAPE) of the proposed framework are 0.55% and 2.58%, respectively. It is suggested that this framework is more convenient to determine the current level of cognitive function in ESRD patients and is conducive to the early prevention of cognitive dysfunction in ESRD patients.

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Associations of the Disrupted Functional Brain Network and Cognitive Function in End-Stage Renal Disease Patients on Maintenance Hemodialysis: A Graph Theory-Based Study of Resting-State Functional Magnetic Resonance Imaging

Cited by 6 publications

References 58 publications

Associations between disrupted functional brain network topology and cognitive impairment in patients with rectal cancer during chemotherapy

Associations between disrupted functional brain network topology and cognitive impairment in patients with rectal cancer during chemotherapy

Identification of discriminative neuroimaging markers for patients on hemodialysis with insomnia: a fractional amplitude of low frequency fluctuation-based machine learning analysis

Global iterative optimization framework for predicting cognitive function statuses of patients with end‐stage renal disease

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