Resting-State Neural Networks at Complex Visual Hallucinations in Charles Bonnet Syndrome

• DOI: 10.22541/au.169354113.37158485/v1
• Publication Date: 2023-09-01T04:05:41Z
• Authors: Taha Hanoglu; Halil Aziz Velioglu; Ali Behram Salar; Sultan Yıldız; Zübeyir Bayraktar...; Burak Yulug; Lutfu Hanoglu
• Keywords: Occipital lobe; Angular gyrus; Fusiform gyrus; Lingual gyrus; Middle frontal gyrus; Gyrus; Charles Bonnet Syndrome; Superior parietal lobule; Temporal cortex; Superior frontal gyrus; Supramarginal gyrus

Background: Charles Bonnet syndrome (CBS) is a prototype phenomenon for investigating complex visual hallucination. Our research focuses on resting-state neural networks features of CBS patients with comparison equally matched loss and healthy subjects in order to investigate the mechanism behind hallucinations. Methods: Four CBS(+), 3 but no hallucinations CBS(-) 15 controls (HC) undergo fMRI recordings their data analyzed. Cognitive functions participants were also evaluated through MMSE um-PDHQ Results: Although we found difference DMN between HC groups, detected decreased connectivity CBS(+) compared group especially hetero-modal association centers (bilateral lateral occipital lingual gyrus, pole, right medial temporal temporo-occipital cortex) when left angular gyrus was selected as ROI. Similarly, frontal, posterior cingulate, supramarginal, inferior temporal, superior frontal In contrast, increased CBS+ HC, bilateral poles, fusiform intra-calcarine cortex, precuneus regions Conclusion: findings suggest combined related internal created images caused by external input causing along impaired frontotemporal resource tracking system that together impairs cognitive processing.