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Glaucoma is an eye condition characterized by increased intraocular pressure that damages the retina and optic nerve, leading to irreversible blindness if left untreated. The human eye has various components, including the cornea, iris, pupil, lens, and optic nerve. Aqueous humor is secreted by the epithelium of the ciliary body in the posterior chamber and flows through the trabecular meshwork and canal of Schlemm, maintaining normal intraocular pressure. The trabecular meshwork and the canal...
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Related Experiment Video

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Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping
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Primary Open Angle Glaucoma Is Associated With Functional Brain Network Reorganization.

Silvia Minosse1, Francesco Garaci2,3, Alessio Martucci4

  • 1Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome, Italy.

Frontiers in Neurology
|November 12, 2019
PubMed
Summary
This summary is machine-generated.

Glaucoma patients show altered brain functional networks compared to healthy individuals. Functional network disruption indices correlate with disease severity and retinal layer thickness, suggesting potential as biomarkers.

Keywords:
functional brain networksgraph theoretical measuresneurodegenerative diseasesopen angle glaucomaresting-state functional magnetic resonance imaging (rs-fMRI)

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Area of Science:

  • Neuroimaging
  • Ophthalmology
  • Systems Neuroscience

Background:

  • Resting-state functional magnetic resonance imaging (rs-fMRI) assesses brain connectivity.
  • Primary open-angle glaucoma is increasingly recognized for potential brain involvement.
  • Neuroimaging offers insights into glaucoma's impact beyond the eye.

Purpose of the Study:

  • To investigate functional brain network reorganization in glaucoma patients.
  • To evaluate functional network disruption indices as potential biomarkers for glaucoma severity.
  • To correlate brain network measures with clinical variables and retinal layer thickness.

Main Methods:

  • rs-fMRI scans were acquired from 19 glaucoma patients and 16 healthy controls.
  • Graph-theoretical analyses computed integration, segregation, and centrality measures.
  • Disruption indices were calculated and correlated with visual field index (VFI) and retinal layer thickness (RNFL, MaculaGCL).

Main Results:

  • Glaucoma patients exhibited altered functional brain network organization, with different hub regions compared to controls.
  • Significant associations were found between all disruption indices and VFI, RNFL, and MaculaGCL.
  • The disruption index based on clustering coefficient showed high diagnostic accuracy (AUC 0.91) for differentiating glaucoma.

Conclusions:

  • Functional brain changes are linked to glaucoma severity.
  • Disruption indices show promise as biomarkers for glaucoma.
  • Findings suggest glaucoma may be a disconnection syndrome, potentially explaining associated motor and cognitive symptoms.