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Large-Scale Neuronal Network Dysfunction in Diabetic Retinopathy.

Xin Huang1, Yan Tong1, Chen-Xing Qi1

  • 1Eye Center, Renmin Hospital of Wuhan University, Wuhan, 430060 Hubei, China.

Neural Plasticity
|May 14, 2020
PubMed
Summary
This summary is machine-generated.

Diabetic retinopathy (DR) patients exhibit altered brain network connectivity, impacting cognitive function. These changes in resting-state networks (RSNs) are linked to disease severity and can help distinguish patients from healthy individuals.

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Area of Science:

  • Neuroscience
  • Medical Imaging
  • Ophthalmology

Background:

  • Diabetic retinopathy (DR) is associated with cognitive decline and dementia.
  • Brain structural and functional changes are implicated in cognitive impairment in DR patients.
  • Limited understanding exists regarding alterations in resting-state networks (RSNs) functional architecture in DR.

Purpose of the Study:

  • To investigate changes in intranetwork functional connectivity (FC) and functional network connectivity (FNC) of RSNs in DR patients.
  • To explore the relationship between altered RSNs FC and clinical variables in DR.
  • To assess the diagnostic capability of RSNs FC in differentiating DR patients from healthy controls.

Main Methods:

  • Resting-state functional magnetic resonance imaging (rs-fMRI) scans were acquired from 34 DR patients and 38 healthy controls (HCs).
  • Independent component analysis (ICA) was used to extract nine RSNs.
  • Two-sample t-tests, FNC analysis, Pearson correlation, and ROC curve analysis were performed.

Main Results:

  • DR patients showed decreased intranetwork FCs in multiple RSNs, including the basal ganglia network (BGN), visual network (VN), default mode networks (DMNs), and executive control networks (ECNs).
  • Increased FNCs were observed between several networks, such as VN-BGN, VN-vDMN, and SN-BGN in DR patients compared to HCs.
  • Altered intranetwork FCs correlated significantly with glycosylated hemoglobin (HbA1c) levels and demonstrated high diagnostic accuracy via ROC analysis.

Conclusions:

  • Diabetic retinopathy is associated with widespread functional connectivity deficits in both perceptual and cognitive brain networks.
  • Altered RSNs connectivity provides insights into the neural mechanisms underlying visual loss and cognitive decline in DR.
  • These findings highlight the potential of RSNs analysis as a biomarker for cognitive impairment in DR.