Mood variations decoded from multi-site intracranial human brain activity

• Published in: Nature biotechnology Vol. 36; no. 10; pp. 954 - 961
• Main Authors: Sani, Omid G, Yang, Yuxiao, Lee, Morgan B, Dawes, Heather E, Chang, Edward F, Shanechi, Maryam M
• Format: Journal Article
• Language: English
• Published: New York Springer New York 01.11.2018; Nature Publishing Group
• Subjects: 631/378/116/2394; 631/378/1457; 631/61; 639/166/985; 9/30; Agriculture; Analysis; Bioinformatics; Biomedical Engineering/Biotechnology; Biomedicine; Biotechnology; Brain; Closed loops; Decoders; Decoding; Drug therapy; Dynamic models; Emotional disorders; Epilepsy; Feedback control; Human performance; Human subjects; Life Sciences; Medical imaging; Mental disorders; Modelling; Mood; Mood disorders; Nervous system diseases; Neural coding; Neuroimaging; Neurophysiology; Sparsity; Variation; United States

Mood state changes are decoded using human neural activity data from electrodes implanted in seven epilepsy patients. The ability to decode mood state over time from neural activity could enable closed-loop systems to treat neuropsychiatric disorders. However, this decoding has not been demonstrated...