Electroencephalographic Motor Imagery Brain Connectivity Analysis for BCI: A Review

• Published in: Neural computation Vol. 28; no. 6; pp. 999 - 1041
• Main Authors: Hamedi, Mahyar, Salleh, Sh-Hussain, Noor, Alias Mohd
• Format: Journal Article
• Language: English
• Published: One Rogers Street, Cambridge, MA 02142-1209, USA MIT Press 01.06.2016; MIT Press Journals, The
• Subjects: Animals; Brain; Brain - physiology; Brain-Computer Interfaces - trends; Connectivity analysis; Electroencephalography; Electroencephalography - methods; Electroencephalography - trends; Human-computer interface; Humans; Imagery; Imagery (Psychotherapy) - methods; Imagery (Psychotherapy) - trends; Imagination - physiology; Motor Skills - physiology; Motors; Movements; Nerve Net - physiology; Neurosciences; Psychomotor Performance - physiology; Rehabilitation; Review; Spectra; Stroke

Recent research has reached a consensus on the feasibility of motor imagery brain-computer interface (MI-BCI) for different applications, especially in stroke rehabilitation. Most MI-BCI systems rely on temporal, spectral, and spatial features of single channels to distinguish different MI patterns....