A simulation-based approach to improve decoded neurofeedback performance

• Published in: NeuroImage (Orlando, Fla.) Vol. 195; pp. 300 - 310
• Main Authors: Oblak, Ethan F., Sulzer, James S., Lewis-Peacock, Jarrod A.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 15.07.2019; Elsevier Limited
• Subjects: Accuracy; Adult; Biofeedback; Brain mapping; Brain Mapping - methods; Brain research; Electroencephalography; Experiments; Explicit knowledge; Fear conditioning; Feedback; Female; Finger; fMRI; Functional magnetic resonance imaging; Human performance; Humans; Image Processing, Computer-Assisted; Information processing; Machine Learning; Magnetic Resonance Imaging; Male; Medical imaging; Medical research; Multi-voxel pattern analysis; Neurofeedback; Neurofeedback - methods; Neuromodulation; Neurosciences; Orientation behavior; Research Design; Sensorimotor cortex; Sensorimotor Cortex - physiology; Simulation; Visual perception; Sensorimotor cortex; fMRI; Multi-voxel pattern analysis; Simulation; Neurofeedback

The neural correlates of specific brain functions such as visual orientation tuning and individual finger movements can be revealed using multivoxel pattern analysis (MVPA) of fMRI data. Neurofeedback based on these distributed patterns of brain activity presents a unique ability for precise neuromo...