AI Article Synopsis

  • - The study aimed to explore changes in brain activity in patients with corneal ulcer (CU) using the amplitude of low-frequency fluctuation (ALFF) method and its relationship to visual performance.
  • - Researchers analyzed resting-state fMRI data from 40 CU patients and 40 matched healthy controls, discovering significant differences in ALFF values across various brain regions.
  • - The findings suggest that CU patients exhibit abnormal brain activity patterns, indicating potential clinical indicators to help understand and diagnose CU-related dysfunction.

Article Abstract

The aim of the present study was to investigate the altered spontaneous brain activity in patients with corneal ulcer (CU) through the amplitude of low-frequency fluctuation (ALFF) technique and the association with their visual performance. A total of 40 patients with CU and 40 healthy controls (HCs) matched for sex, age and educational level were enrolled. Resting-state functional magnetic resonance imaging (rs-fMRI) was performed to examine the probands. Spontaneous cerebral activity variations were investigated using the ALFF technique. The average ALFF values of the CU patients and the HCs were classified by utilizing receiver operating characteristic (ROC) curves. Contrary to HCs, the CU patients had significantly lower ALFF values in the left cerebellar anterior lobe, right middle frontal gyrus and left middle frontal gyrus, but higher ALFF values in the right cerebellar inferior lobe, left cerebellar inferior lobe, left inferior temporal gyrus, right fusiform gyrus, left superior frontal gyrus, right angular gyrus and bilateral superior frontal gyrus. ROC curve analysis of each brain region indicated that the accuracy of ALFF value specificity between the CU and HCs of the area under the curve was perfect. In conclusion, abnormal spontaneous activities were detected in numerous brain regions of CU patients, which may provide useful information for understanding the dysfunction of CU. These activity changes in brain regions may be used as effective clinical indicators for CU.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6566102PMC
http://dx.doi.org/10.3892/etm.2019.7550DOI Listing

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