Mapping the functional connectome traits of levels of consciousness
Mapping the functional connectome traits of levels of consciousness is a scholarly work by Daniele Marinazzo, Lizette Heine, Enrico Amico, Carol Di Perri, Charlotte Martial, Steven Laureys, Murielle Kirsch, and Jitka Annen, published in 2017 in ''NeuroImage''. The main subjects of the publication include cognitive psychology, resting-state fMRI, diffusion-weighted magnetic resonance imaging, Human Connectome Project, psychology, persistent vegetative state, cognition, Dorsal attention network, connectome, consciousness, neuroscience, traumatic brain injury, default mode network, Disconnected, and trait. The authors present a novel data-driven methodology, connICA, which implements Independent Component Analysis (ICA) for the extraction of robust independent FC patterns (FC-traits) from a set of individual functional connectomes, without imposing any a priori data stratification into groups.