Saccadic eye movements based classification of patients with obsessive-compulsive disorder, patients with schizophrenia and healthy controls using artificial neural networks
Key Points
Saccadic eye movements distinguish between patients with obsessive-compulsive disorder and schizophrenia.
The classification accuracy reached 85%, highlighting its potential for diagnostic purposes.
Analysis employs artificial neural networks to interpret eye movement patterns effectively.
Findings support using saccadic movements as biological indicators, though further validation is needed.
Saccadic eye movements based classification of patients with obsessive-compulsive disorder, patients with schizophrenia and healthy controls using artificial neural networks | Synapse