Altered eigenvector centrality is related to local resting‐state network functional connectivity in patients with longstanding type 1 diabetes mellitus

Duinkerken, Eelco van; Schoonheim, Menno M.; IJzerman, Richard G.; Moll, Annette C.; Landeira-Fernández, J.; Klein, Martin; Diamant, Michaëla; Snoek, Frank J.; Barkhof, Frederik; Wink, Alle Meije

doi:10.1002/hbm.23617

Cited by 36 publications

(35 citation statements)

References 46 publications

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“…Moreover, they demonstrated that subcortical eigenvector centrality and degree centrality were lower and bilateral occipital eigenvector centrality was higher in T1DM patients without proliferative retinopathy [18]. Furthermore, through independent component analysis or graph theoretical analysis, T1DM was observed to be associated with disrupted FC in multiple networks involving attention, working memory, auditory, language and processing and the default mode network (DMN) [15,18,19]. Among these networks, the DMN, consisting of nodes in the posterior cingulate cortex (PCC)/precuneus, anterior cingulate cortex (ACC), medial prefrontal gyrus (mPFC) and inferior parietal lobule (IPL), is the most active during resting and shows reduced activity when a subject enters a task-based state involving attention or goal-directed behavior, and these DMN activities may be used to predict cognitive impairment [14,20].…”

Section: Xindao Yinmentioning

confidence: 99%

“…Using rsfMRI, several studies on T1DM have demonstrated disrupted functional connectivity (FC) and network changes that may serve as early biomarkers for subsequent cognitive decline [15][16][17][18]. In a seed-based analysis, van Duinkerken et al found abnormal FC in the subgenual cingulate cortex that was related to cognitive dysfunction in T1DM patients [16].…”

Section: Xindao Yinmentioning

confidence: 99%

“…In a seed-based analysis, van Duinkerken et al found abnormal FC in the subgenual cingulate cortex that was related to cognitive dysfunction in T1DM patients [16]. Moreover, they demonstrated that subcortical eigenvector centrality and degree centrality were lower and bilateral occipital eigenvector centrality was higher in T1DM patients without proliferative retinopathy [18]. Furthermore, through independent component analysis or graph theoretical analysis, T1DM was observed to be associated with disrupted FC in multiple networks involving attention, working memory, auditory, language and processing and the default mode network (DMN) [15,18,19].…”

Section: Xindao Yinmentioning

confidence: 99%

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Decreased Spontaneous Brain Activity and Functional Connectivity in Type 1 Diabetic Patients Without Microvascular Complications

Xia¹,

Chen²,

Luo³

et al. 2018

Cell Physiol Biochem

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Background/Aims: Type 1 diabetes mellitus (T1DM) has been proven to be associated with an increased risk of cognitive dysfunction. In this study, we aimed to investigate whether disrupted spontaneous activity and functional connectivity (FC) exist in T1DM patients using resting-state functional magnetic resonance imaging (rs-fMRI) and to detect the relationships of these parameters with cognitive impairment. Methods: T1DM patients (n=35) were compared with age-, sex-, and education level-matched healthy controls (n=50) through rs-fMRI. Using rs-fMRI professional software, we calculated the amplitude of low-frequency fluctuation (ALFF), regional homogeneity (ReHo), and seed-based FC in the posterior cingulate cortex (PCC) to measure the spontaneous neural activity in the groups. The relationship between rs-fMRI data and cognitive performance was further investigated. Results: Compared with the healthy controls, T1DM patients showed significantly decreased ALFF values in the PCC and right inferior frontal gyrus (IFG), decreased ReHo values in the right middle frontal gyrus (MFG) and reduced FC between the PCC and the right MFG. Furthermore, a positive correlation was found between decreased ALFF values in the PCC and Rey-Osterrieth Complex Figure Test (CFT)-delay scores in T1DM patients (r=0.394, p=0.026). Moreover, the Trail Making Test-B (TMT-B) scores showed negative correlations with decreased ReHo values in the right MFG (r=-0.468, p=0.007) and reduced FC between the PCC and right MFG (r=-0.425, p=0.015). Conclusion: Our combined analyses revealed decreased spontaneous activity and FC mainly within the default mode network, which was correlated with specific impaired cognitive functioning in T1DM. This study thus elucidates the neurophysiological mechanisms underlying T1DM-related cognitive impairment and may serve as a reference for future clinical diagnosis.

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Section: Xindao Yinmentioning

confidence: 99%

Section: Xindao Yinmentioning

confidence: 99%

Section: Xindao Yinmentioning

confidence: 99%

See 1 more Smart Citation

Decreased Spontaneous Brain Activity and Functional Connectivity in Type 1 Diabetic Patients Without Microvascular Complications

Xia¹,

Chen²,

Luo³

et al. 2018

Cell Physiol Biochem

View full text Add to dashboard Cite

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“…ECM has been linked to changes in functional connectivity in certain nodes of brain networks that might contribute to depression in patients with PD ( 10 ). Changes in ECM have also been linked to cognition in APOE ε4 carriers ( 11 ), but also to neurodegenerative changes in type 1 diabetes mellitus ( 12 ), and cognitive dysfunction and physical disability in multiple sclerosis ( 13 ).…”

Section: Introductionmentioning

confidence: 99%

Altered Whole-Brain and Network-Based Functional Connectivity in Parkinson's Disease

et al. 2018

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Background: Functional imaging methods, such as resting-state functional magnetic resonance imaging, reflect changes in neural connectivity and may help to assess the widespread consequences of disease-specific network changes in Parkinson's disease. In this study we used a relatively new graph analysis approach in functional imaging: eigenvector centrality mapping. This model-free method, applied to all voxels in the brain, identifies prominent regions in the brain network hierarchy and detects localized differences between patient populations. In other neurological disorders, eigenvector centrality mapping has been linked to changes in functional connectivity in certain nodes of brain networks.Objectives: Examining changes in functional brain connectivity architecture on a whole brain and network level in patients with Parkinson's disease.Methods: Whole brain resting-state functional architecture was studied with a recently introduced graph analysis approach (eigenvector centrality mapping). Functional connectivity was further investigated in relation to eight known resting-state networks. Cross-sectional analyses included group comparison of functional connectivity measures of Parkinson's disease patients (n = 107) with control subjects (n = 58) and correlations with clinical data, including motor and cognitive impairment and a composite measure of predominantly non-dopaminergic symptoms.Results: Eigenvector centrality mapping revealed that frontoparietal regions were more prominent in the whole-brain network function in patients compared to control subjects, while frontal and occipital brain areas were less prominent in patients. Using standard resting-state networks, we found predominantly increased functional connectivity, namely within sensorimotor system and visual networks in patients. Regional group differences in functional connectivity of both techniques between patients and control subjects partly overlapped for highly connected posterior brain regions, in particular in the posterior cingulate cortex and precuneus. Clinico-functional imaging relations were not found.Conclusions: Changes on the level of functional brain connectivity architecture might provide a different perspective of pathological consequences of Parkinson's disease. The involvement of specific, highly connected (hub) brain regions may influence whole brain functional network architecture in Parkinson's disease.

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“…Wang et al demonstrated that increased amplitude of low-frequency fluctuation (ALFF) values in the right occipital lobe was correlated with cognitive impairments in DR patients [12]. van Duinkerken et al reported that type 1 diabetes patients with proliferative retinopathy showed lower eigenvector centrality mapping and degree centrality in the bilateral thalamus and dorsal striatum, as well as increased eigenvector centrality mapping in the occipital cortex [13]. Dai et al demonstrated that DR patients had abnormal brain local functional networks related to visual function and cognition [14].…”

Section: Introductionmentioning

confidence: 99%

Large-Scale Neuronal Network Dysfunction in Diabetic Retinopathy

Huang

Tong

et al. 2020

Neural Plasticity

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Diabetic retinopathy (DR) patients are at an increased risk of cognitive decline and dementia. There is accumulating evidence that specific functional and structural architecture changes in the brain are related to cognitive impairment in DR patients. However, little is known regarding whether the functional architecture of resting-state networks (RSNs) changes in DR patients. The purpose of this study was to investigate the intranetwork functional connectivity (FC) and functional network connectivity (FNC) of RSN changes in DR patients using independent component analysis (ICA). Thirty-four DR patients (18 men and 16 women; mean age, 53.53±8.67 years) and 38 nondiabetic healthy controls (HCs) (15 men and 23 women; mean age, 48.63±11.83 years), closely matched for age, sex, and education, underwent resting-state magnetic resonance imaging scans. ICA was applied to extract the nine RSNs. Then, two-sample t-tests were conducted to investigate different intranetwork FCs within nine RSNs between the two groups. The FNC toolbox was used to assess interactions among RSNs. Pearson correlation analysis was conducted to explore the relationship between intranetwork FCs and clinical variables in the DR group. A receiver operating characteristic (ROC) curve was conducted to assess the ability of the intranetwork FCs of RSNs in discriminating between the two groups. Compared to the HC group, DR patients showed significant decreased intranetwork FCs within the basal ganglia network (BGN), visual network (VN), ventral default mode network (vDMN), right executive control network (rECN), salience network (SN), left executive control network (lECN), auditory network (AN), and dorsal default mode network (dDMN). In addition, FNC analysis showed increased VN-BGN, VN-vDMN, VN-dDMN, vDMN-lECN, SN-BGN, lECN-dDMN, and AN-BGN FNCs in the DR group, relative to the HC group. Furthermore, altered intranetwork FCs of RSNs were significantly correlated with the glycosylated hemoglobin (HbA1c) level in DR patients. A ROC curve showed that these specific intranetwork FCs of RSNs discriminated between the two groups with a high degree of sensitivity and specificity. Our study highlighted that DR patients had widespread deficits in both low-level perceptual and higher-order cognitive networks. Our results offer important insights into the neural mechanisms of visual loss and cognitive decline in DR patients.

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Altered eigenvector centrality is related to local resting‐state network functional connectivity in patients with longstanding type 1 diabetes mellitus

Cited by 36 publications

References 46 publications

Decreased Spontaneous Brain Activity and Functional Connectivity in Type 1 Diabetic Patients Without Microvascular Complications

Decreased Spontaneous Brain Activity and Functional Connectivity in Type 1 Diabetic Patients Without Microvascular Complications

Altered Whole-Brain and Network-Based Functional Connectivity in Parkinson's Disease

Large-Scale Neuronal Network Dysfunction in Diabetic Retinopathy

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