Building a pronostic tool for disorders of consciousness: protocol for a multimodal imaging study (IMAGINA study)

Background: In the last decades, advances in Intensive Care Unit management have led to decreased mortality. However, significant morbidity remains as patients survive after a lesional coma with uncertain quality of awakening and high risk of functional disability. Predicting this level of recovery but also the functional disability of those who will awake constitutes a major challenge for medical, ethical and social perspectives. Among the huge heterogeneity of coma-related injuries, recognising the universality of a common functional pattern which may be focused on a final step of an integrated network would be of great interest for our understanding of disorders of consciousness. The objective of this study is to investigate the neural correlates of arousal and awareness in coma and post-coma to build a prognostic tool based on the detection of a common pattern between patients with a favourable versus an unfavourable outcome. Method/Design: We will implement this objective in a translational approach which combines PET-MR imaging, neurophysiology, behavioural/clinical assessments and innovative statistical and computational analysis tools in patients with disorders of consciousness in Intensive Care Unit and in Rehabilitation Department.

[1]  Lionel Naccache,et al.  Minimally conscious state or cortically mediated state? , 2017, Brain : a journal of neurology.

[2]  J. Pekar,et al.  Early Functional Connectome Integrity and 1-Year Recovery in Comatose Survivors of Cardiac Arrest. , 2017, Radiology.

[3]  Michel Desmurget,et al.  Restoring consciousness with vagus nerve stimulation , 2017, Current Biology.

[4]  Steven Laureys,et al.  Brain Gray Matter MRI Morphometry for Neuroprognostication After Cardiac Arrest , 2017, Critical care medicine.

[5]  Á. Pascual-Leone,et al.  A human brain network derived from coma-causing brainstem lesions , 2016, Neurology.

[6]  R. Eliahou,et al.  Acute bithalamic infarct manifesting as sleep-like coma: A diagnostic challenge , 2016, Journal of Clinical Neuroscience.

[7]  C. Koch,et al.  Integrated information theory: from consciousness to its physical substrate , 2016, Nature Reviews Neuroscience.

[8]  G. Langman,et al.  A diagnostic challenge. , 2007, American journal of obstetrics and gynecology.

[9]  I. Loubinoux,et al.  Disruption of posteromedial large-scale neural communication predicts recovery from coma , 2015, Neurology.

[10]  Lizette Heine,et al.  Exploration of Functional Connectivity During Preferred Music Stimulation in Patients with Disorders of Consciousness , 2015, Front. Psychol..

[11]  Steven Laureys,et al.  Thalamic and extrathalamic mechanisms of consciousness after severe brain injury , 2015, Annals of neurology.

[12]  Steven Laureys,et al.  Regional cerebral metabolic patterns demonstrate the role of anterior forebrain mesocircuit dysfunction in the severely injured brain , 2014, Proceedings of the National Academy of Sciences.

[13]  S. Jang,et al.  The Ascending Reticular Activating System from Pontine Reticular Formation to the Thalamus in the Human Brain , 2013, Front. Hum. Neurosci..

[14]  M. Boly,et al.  Brain Connectivity in Pathological and Pharmacological Coma , 2010, Front. Syst. Neurosci..

[15]  N. Schiff Recovery of consciousness after brain injury: a mesocircuit hypothesis , 2010, Trends in Neurosciences.

[16]  Manuel Schabus,et al.  Brain response to one's own name in vegetative state, minimally conscious state, and locked-in syndrome. , 2006, Archives of neurology.

[17]  Steven Laureys The neural correlate of (un)awareness: lessons from the vegetative state , 2005, Trends in Cognitive Sciences.

[18]  D. Shewmon,et al.  The minimally conscious state: definition and diagnostic criteria. , 2002, Neurology.

[19]  G. E. Alexander,et al.  Parallel organization of functionally segregated circuits linking basal ganglia and cortex. , 1986, Annual review of neuroscience.