Large-Scale Neuronal Network Dysfunction in Diabetic Retinopathy

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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The CB1 Neutral Antagonist Tetrahydrocannabivarin Reduces Default Mode Network and Increases Executive Control Network Resting State Functional Connectivity in Healthy Volunteers

The International Journal of Neuropsychopharmacology ◽

10.1093/ijnp/pyv092 ◽

2015 ◽

Vol 19 (2) ◽

pp. pyv092 ◽

Cited By ~ 15

Author(s):

Ewelina Rzepa ◽

Luke Tudge ◽

Ciara McCabe

Keyword(s):

Functional Connectivity ◽

Healthy Volunteers ◽

Executive Control ◽

Default Mode Network ◽

Resting State ◽

Control Network ◽

Resting State Functional Connectivity ◽

Executive Control Network ◽

Default Mode ◽

Neutral Antagonist

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Pharmacological fMRI: Effects of subanesthetic ketamine on resting-state functional connectivity in the default mode network, salience network, dorsal attention network and executive control network

NeuroImage Clinical ◽

10.1016/j.nicl.2018.05.037 ◽

2018 ◽

Vol 19 ◽

pp. 745-757 ◽

Cited By ~ 16

Author(s):

Felix Mueller ◽

Francesco Musso ◽

Markus London ◽

Peter de Boer ◽

Norman Zacharias ◽

...

Keyword(s):

Functional Connectivity ◽

Executive Control ◽

Default Mode Network ◽

Resting State ◽

Salience Network ◽

Control Network ◽

Resting State Functional Connectivity ◽

Executive Control Network ◽

Attention Network ◽

Dorsal Attention Network

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Investigating executive control network and default mode network dysfunction in major depressive disorder

Neuroscience Letters ◽

10.1016/j.neulet.2019.02.045 ◽

2019 ◽

Vol 701 ◽

pp. 154-161 ◽

Cited By ~ 4

Author(s):

Qinghua Zhao ◽

Zarnawab N.K. Swati ◽

Hichem Metmer ◽

Xiaoshuang Sang ◽

Jianfeng Lu

Keyword(s):

Major Depressive Disorder ◽

Depressive Disorder ◽

Executive Control ◽

Default Mode Network ◽

Control Network ◽

Major Depressive ◽

Executive Control Network ◽

Default Mode

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Investigating the relationship between subjective drug craving and temporal dynamics of the default mode network, executive control network, and salience network in methamphetamine dependents using rsfMRI

10.1117/12.2217214 ◽

2016 ◽

Cited By ~ 1

Author(s):

Somayyeh Soltanian-Zadeh ◽

Gholam-Ali Hossein-Zadeh ◽

Alireza Shahbabaie ◽

Hamed Ekhtiari

Keyword(s):

Executive Control ◽

Default Mode Network ◽

Temporal Dynamics ◽

Salience Network ◽

Control Network ◽

Executive Control Network ◽

Default Mode ◽

Drug Craving ◽

The Relationship

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Reduced functional segregation between the default mode network and the executive control network in healthy older adults: A longitudinal study

NeuroImage ◽

10.1016/j.neuroimage.2016.03.029 ◽

2016 ◽

Vol 133 ◽

pp. 321-330 ◽

Cited By ~ 79

Author(s):

Kwun Kei Ng ◽

June C. Lo ◽

Joseph K.W. Lim ◽

Michael W.L. Chee ◽

Juan Zhou

Keyword(s):

Older Adults ◽

Longitudinal Study ◽

Executive Control ◽

Default Mode Network ◽

Control Network ◽

Executive Control Network ◽

Healthy Older Adults ◽

Default Mode

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Resting-state functional MRI shows altered default-mode network functional connectivity in Duchenne muscular dystrophy patients

Brain Imaging and Behavior ◽

10.1007/s11682-020-00422-3 ◽

2021 ◽

Author(s):

Nathalie Doorenweerd ◽

Mischa de Rover ◽

Chiara Marini-Bettolo ◽

Kieren G. Hollingsworth ◽

Erik H. Niks ◽

...

Keyword(s):

Working Memory ◽

Information Processing ◽

Duchenne Muscular Dystrophy ◽

Muscular Dystrophy ◽

Executive Control ◽

Default Mode Network ◽

Resting State ◽

Control Network ◽

Executive Control Network ◽

Visual Network

AbstractDuchenne muscular dystrophy (DMD) is an X-linked recessive neuromuscular disorder caused by absence of dystrophin protein. Dystrophin is expressed in muscle, but also in the brain. Difficulties with attention/inhibition, working memory and information processing are well described in DMD patients but their origin is poorly understood. The default mode network (DMN) is one of the networks involved in these processes. Therefore we aimed to assess DMN connectivity in DMD patients compared to matched controls, to better understand the cognitive profile in DMD. T1-weighted and resting state functional MRI scans were acquired from 33 DMD and 24 male age-matched controls at two clinical sites. Scans were analysed using FMRIB Software Library (FSL). Differences in the DMN were assessed using FSL RANDOMISE, with age as covariate and threshold-free cluster enhancement including multiple comparison correction. Post-hoc analyses were performed on the visual network, executive control network and fronto-parietal network with the same methods. In DMD patients, the level of connectivity was higher in areas within the control DMN (hyperconnectivity) and significant connectivity was found in areas outside the control DMN. No hypoconnectivity was found and no differences in the visual network, executive control network and fronto-parietal network. We showed differences both within and in areas outside the DMN in DMD. The specificity of our findings to the DMN can help provide a better understanding of the attention/inhibition, working memory and information processing difficulties in DMD.

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