[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.
Research Center/Unit :
GIGA CRC (Cyclotron Research Center) In vivo Imaging-Aging & Memory - ULiège
Disciplines :
Anesthesia & intensive care Neurology
Author, co-author :
Vanhaudenhuyse, Audrey ✱; Université de Liège - ULiège > Coma Science Group > Centre de recherches du cyclotron
Noirhomme, Quentin ✱; Université de Liège - ULiège > Centre de recherches du cyclotron
Tshibanda, Luaba ; Centre Hospitalier Universitaire de Liège - CHU > Imagerie médicale
Boveroux, Pierre ; Centre Hospitalier Universitaire de Liège - CHU > Anesthésie et réanimation
Schnakers, Caroline ; Université de Liège - ULiège > Centre de recherches du cyclotron
Soddu, Andrea ; Université de Liège - ULiège > Centre de recherches du cyclotron
Perlbarg, Vincent
Ledoux, Didier ; Centre Hospitalier Universitaire de Liège - CHU > Soins intensifs
Brichant, Jean-François ; Université de Liège - ULiège > Département des sciences cliniques > Anesthésie et réanimation
Moonen, Gustave ; Centre Hospitalier Universitaire de Liège - CHU > Neurologie Sart Tilman
Maquet, Pierre ; Centre Hospitalier Universitaire de Liège - CHU > Neurologie Sart Tilman
Greicius, Michael D
Laureys, Steven ; Université de Liège - ULiège > Coma Science Group > Centre de recherches du cyclotron - Département des sciences cliniques
Boly, Mélanie ; Université de Liège - ULiège > Centre de Recherches du Cyclotrob - Département des sciences cliniques > Neurologie - Coma Science Group
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