2022
DOI: 10.1101/2022.07.15.500190
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Resting State Neural Networks at Complex Visual Hallucinations in Charles Bonnet Syndrome

Abstract: 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 a comparison of patients with equally matched visual loss and healthy subjects in order to investigate the mechanism behind complex visual hallucinations. Material and Methods: Four CBS patients CBS(+), three patients with visual loss but no visual hallucinations CBS(-) and 15 healthy individuals (HS) undergo res… Show more

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