[en] Objectives:Recent fMRI studies have shown that it is possible to reliably identify the default-mode network (DMN) in the absence of any task, by resting-state connectivity analyses in healthy volunteers. We here aimed to identify the DMN in the challenging patient population of disorders of consciousness encountered following coma. Experimental design: A spatial independent component analysis-based methodology permitted DMN assessment, decomposing connectivity in all its different sources either neuronal or artifactual. Three different selection criteria were introduced assessing anticorrelation-corrected connectivity with or without an automatic masking procedure and calculating connectivity scores encompassing both spatial and temporal properties. These three methods were validated on 10 healthy controls and applied to an independent group of 8 healthy controls and 11 severely brain-damaged patients [locked-in syndrome (n = 2), minimally conscious (n = 1), and vegetative state (n = 8)]. Principal observations: All vegetative patients showed fewer connections in the default-mode areas, when compared with controls, contrary to locked-in patients who showed near-normal connectivity. In the minimally conscious-state patient, only the two selection criteria considering both spatial and temporal properties were able to identify an intact right lateralized BOLD connectivity pattern, and metabolic PET data suggested its neuronal origin. Conclusions: When assessing resting-state connectivity in patients with disorders of consciousness, it is important to use a methodology excluding non-neuronal contributions caused by head motion, respiration, and heart rate artifacts encountered in all studied patients. Hum Brain Mapp, 2011. (c) 2011 Wiley-Liss, Inc.
Research center :
GIGA CRC (Cyclotron Research Center) In vivo Imaging-Aging & Memory - ULiège
Disciplines :
Physics
Author, co-author :
Soddu, Andrea ; Université de Liège - ULiège > Centre de recherches du cyclotron - Comascience group
Vanhaudenhuyse, Audrey ; Université de Liège - ULiège > Centre de recherches du cyclotron - Coma science group
Bahri, Mohamed Ali ; Université de Liège - ULiège > Centre de recherches du cyclotron
Bruno, Marie-Aurélie ; Université de Liège - ULiège > Centre de recherches du cyclotron
Boly, Mélanie ; Université de Liège - ULiège > Centre de Recherches du Cyclotron - Comascience group > Neurologie
Demertzi, Athina ; Université de Liège - ULiège > Centre de recherches du cyclotron - Comascience group
Tshibanda, J. F.
Phillips, Christophe ; Université de Liège - ULiège > Centre de recherches du cyclotron
Stanziano, M.
Ovadia-Caro, S.
Nir, Y.
Maquet, Pierre ; Université de Liège - ULiège > Centre de recherches du cyclotron
Papa, M.
Malach, R.; Université de Liège - ULiège > Centre de recherches du cyclotron
Laureys, Steven ; Université de Liège - ULiège > Centre de recherches du cyclotron - Comascience group
Noirhomme, Quentin ; Université de Liège - ULiège > Centre de recherches du cyclotron - comascience group
Identifying the default-mode component in spatial IC analyses of patients with disorders of consciousness.
Publication date :
2012
Journal title :
Human Brain Mapping
ISSN :
1065-9471
eISSN :
1097-0193
Publisher :
Wiley Liss, Inc., New York, United States - New York
Volume :
36
Pages :
37-43
Peer reviewed :
Peer Reviewed verified by ORBi
Name of the research project :
Progetto FIRB Internazionalizzazione
Funders :
ISF - Israel Science Foundation [IL] MIUR - Ministero dell'Istruzione, dell'Università e della Ricerca [IT] EC - European Commission [BE] JSMF - James S McDonnell Foundation [US-MO] [US-MO] MSF - Mind Science Foundation [US-TX] [US-TX] FMRE - Fondation Médicale Reine Elisabeth [BE]
Funding number :
Contract grant number: 160/07
Funding text :
Contract grant number: RBIN04KW43; Contract grant sponsors: Italian Minerva Grants; European Commission (DISCOS-Marie Curie RTN, Mindbridge, DECODER
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