Subject-independent decoding of affective states using functional near-infrared spectroscopy

• Published in: PloS one Vol. 16; no. 1; p. e0244840
• Main Authors: Trambaiolli, Lucas R., Tossato, Juliana, Cravo, André M., Biazoli, Claudinei E., Sato, João R.
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 07.01.2021; Public Library of Science (PLoS)
• Subjects: Adult; Affect (Psychology); Affect - physiology; Biofeedback training; Biology and Life Sciences; Brain - diagnostic imaging; Brain research; Brain-Computer Interfaces - psychology; Classification; Classifiers; Cognition & reasoning; Computer and Information Sciences; Datasets; Design; Discriminant Analysis; Emotional behavior; Emotional factors; Emotions; Emotions - physiology; Engineering and Technology; Ethics; Feedback; Female; Frontal Lobe - diagnostic imaging; Functional Neuroimaging - methods; Humans; I.R. radiation; Infrared spectra; Infrared spectroscopy; Male; Mathematics; Medical imaging; Medical research; Medicine and Health Sciences; Methods; Near infrared radiation; Near infrared spectroscopy; Neural networks; Neurofeedback - methods; Neuroimaging; Neurosciences; Occipital Lobe - diagnostic imaging; Physical Sciences; Rehabilitation; Research and Analysis Methods; Sensors; Social Sciences; Spectroscopy, Near-Infrared - methods; Spectrum analysis; Values; United States; Brazil; Los Angeles California; California; United States > US

Affective decoding is the inference of human emotional states using brain signal measurements. This approach is crucial to develop new therapeutic approaches for psychiatric rehabilitation, such as affective neurofeedback protocols. To reduce the training duration and optimize the clinical outputs,...