Using a simple eye-tracking experiment, researchers have shown that patients with schizophrenia make more errors when trying to locate visual signals than control patients. The pattern of errors can be used to make computer models of the noise in what are called ‘corollary discharge signals.’ These signals are how one part of the brain keeps track of what the other parts are doing, and are often disrupted in patients with schizophrenia. The models could help in both diagnosis and treatment of the disorder.
Original research paper published in the Journal of Neuroscience on April 2, 2014.
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