Parkinson’s disease is a neurodegenerative disorder that leads to significant disturbances to motor control resulting in involuntary tremor, shuffling gait, muscular rigidity, and other problems. The disease also leads to cognitive decline and a reduction in the patient’s ability to understand facial expressions and other people’s emotions from their faces. Work published in the International Journal of Medical Engineering and Informatics, has used bioinformatics to examine this change in this ultimately fatal disease.
K.N. Rejith and Kamalraj Subramaniam of the Karpagam Academy of Higher Education in Coimbatore, India, explain how electroencephalograms (EEGs) have been used in much of the work into understanding the recognition of six “standard” emotions—happiness, sadness, fear, anger, surprise, and disgust—in Parkinson’s disease.