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

Author:

Chennu Srivas12,Annen Jitka3,Wannez Sarah3,Thibaut Aurore34,Chatelle Camille356,Cassol Helena3,Martens Géraldine3,Schnakers Caroline78,Gosseries Olivia3,Menon David9,Laureys Steven3

Affiliation:

1. School of Computing, University of Kent, UK

2. Department of Clinical Neurosciences, University of Cambridge, UK

3. Coma Science Group, GIGA Consciousness, University and University Hospital of Liège, Liège, Belgium

4. Spaulding-Labuschagne Neuromodulation Center, Spaulding Rehabilitation Hospital, Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA, USA

5. Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital and Harvard Medical School, Boston, MA, USA

6. Laboratory for NeuroImaging of Coma and Consciousness, Massachusetts General Hospital, Boston, MA, USA

7. Neurosurgery Department, University of California, Los Angeles, CA, USA

8. Research Institute, Casa Colina Hospital and Centers of Healthcare, Pomona, CA, USA

9. Division of Anaesthetics, University of Cambridge, UK

Publisher

Oxford University Press (OUP)

Subject

Clinical Neurology

Reference58 articles.

1. Hubs of brain functional networks are radically reorganized in comatose patients;Achard;Proc Natl Acad Sci USA,2012

2. A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs;Achard;J Neurosci,2006

3. Reducing multiclass to binary: a unifying approach for margin classifiers;Allwein;J Mach Learn Res,2000

4. Changes in standard electroencephalograms parallel consciousness improvements in patients with unresponsive wakefulness syndrome;Bagnato;Arch Phys Med Rehabil,2016

5. Fast unfolding of communities in large networks;Blondel;J Stat Mechan Theory Exp,2008

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