Brain networks predict metabolism, diagnosis and prognosis at the bedside in disorders of consciousness

In this paper, we applied advanced signal processing, network analysis and machine learning to high-density electroencephalographic data collected at rest from 104 patients with disorders of consciousness, to predict diagnosis, prognosis and brain metabolism.

Chennu, S., Annen, J., Wannez, S., Thibaut, A., Chatelle, C., Cassol, H., Martens, G., Schnakers, C., Gosseries, O., Menon, D. & Laureys, S. 2017.. Brain, awx163. PDF