Eye movement,as a behavioral assessment method,plays an increasingly important role in the assisted diagnosis of mental disorders.An eye-movement virtual reality system for assisted diagnosis of depression was developed by combining eye-tracking technology and the eye-movement behavioral mechanism of depression.The system integrated three virtual game scenarios capable of assessing attentional,memory,and spatial navigation abilities in depressed patients,and was capable of recording subjects'eye movement data in real time.Accurate assessment of multiple abilities of depressed patients was achieved by feature extraction and analysis of eye data,which in turn enabled assisted diagnosis of depression.The effectiveness of the system in aiding diagnosis of depression was demonstrated through the validation of 20 depressed patients and 20 healthy subjects.The study will help to advance the development of a digital approach to the treatment of depression.
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