Reference : Default network connectivity reflects the level of consciousness in non-communicative...
Scientific journals : Article
Human health sciences : Anesthesia & intensive care
Human health sciences : Neurology
http://hdl.handle.net/2268/2301
Default network connectivity reflects the level of consciousness in non-communicative brain-damaged patients.
English
Vanhaudenhuyse, Audrey* mailto [Université de Liège - ULg > Coma Science Group > Centre de recherches du cyclotron > > >]
Noirhomme, Quentin* mailto [Université de Liège - ULg > > Centre de recherches du cyclotron >]
Tshibanda, Luaba mailto [Centre Hospitalier Universitaire de Liège - CHU > > Imagerie médicale >]
Bruno, Marie-Aurélie mailto [> > > >]
Boveroux, Pierre mailto [Centre Hospitalier Universitaire de Liège - CHU > > Anesthésie et réanimation >]
Schnakers, Caroline mailto [Université de Liège - ULg > > Centre de recherches du cyclotron >]
Soddu, Andrea mailto [Université de Liège - ULg > > Centre de recherches du cyclotron >]
Perlbarg, Vincent [> > > >]
Ledoux, Didier mailto [Centre Hospitalier Universitaire de Liège - CHU > > Soins intensifs >]
Brichant, Jean-François mailto [Université de Liège - ULg > Département des sciences cliniques > Anesthésie et réanimation >]
Moonen, Gustave mailto [Centre Hospitalier Universitaire de Liège - CHU > > Neurologie Sart Tilman >]
Maquet, Pierre mailto [Centre Hospitalier Universitaire de Liège - CHU > > Neurologie Sart Tilman >]
Greicius, Michael D [> > > >]
Laureys, Steven mailto [Université de Liège - ULg > Coma Science Group > Centre de recherches du cyclotron - Département des sciences cliniques > > >]
Boly, Mélanie mailto [Université de Liège - ULg > Centre de Recherches du Cyclotrob - Département des sciences cliniques > Neurologie - Coma Science Group > >]
* These authors have contributed equally to this work.
2010
Brain : A Journal of Neurology
Oxford University Press
133
Pt 1
161-71
Yes (verified by ORBi)
International
0006-8950
1460-2156
Oxford
United Kingdom
[en] Adult ; Aged ; Brain Injuries/complications/diagnosis/physiopathology ; Coma/complications/diagnosis/physiopathology ; Consciousness/physiology ; Female ; Humans ; Magnetic Resonance Imaging/methods ; Male ; Middle Aged ; Nerve Net/physiology ; Persistent Vegetative State/complications/diagnosis/physiopathology ; Quadriplegia/complications/diagnosis/physiopathology
[en] The 'default network' is defined as a set of areas, encompassing posterior-cingulate/precuneus, anterior cingulate/mesiofrontal cortex and temporo-parietal junctions, that show more activity at rest than during attention-demanding tasks. Recent studies have shown that it is possible to reliably identify this network in the absence of any task, by resting state functional magnetic resonance imaging connectivity analyses in healthy volunteers. However, the functional significance of these spontaneous brain activity fluctuations remains unclear. The aim of this study was to test if the integrity of this resting-state connectivity pattern in the default network would differ in different pathological alterations of consciousness. Fourteen non-communicative brain-damaged patients and 14 healthy controls participated in the study. Connectivity was investigated using probabilistic independent component analysis, and an automated template-matching component selection approach. Connectivity in all default network areas was found to be negatively correlated with the degree of clinical consciousness impairment, ranging from healthy controls and locked-in syndrome to minimally conscious, vegetative then coma patients. Furthermore, precuneus connectivity was found to be significantly stronger in minimally conscious patients as compared with unconscious patients. Locked-in syndrome patient's default network connectivity was not significantly different from controls. Our results show that default network connectivity is decreased in severely brain-damaged patients, in proportion to their degree of consciousness impairment. Future prospective studies in a larger patient population are needed in order to evaluate the prognostic value of the presented methodology.
Centre de Recherches du Cyclotron - CRC
Fonds de la Recherche Scientifique (Communauté française de Belgique) - F.R.S.-FNRS
http://hdl.handle.net/2268/2301
also: http://hdl.handle.net/2268/83871
10.1093/brain/awp313

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