Reference : Identifying the default-mode component in spatial IC analyses of patients with disord...
Scientific journals : Article
Physical, chemical, mathematical & earth Sciences : Physics
http://hdl.handle.net/2268/98855
Identifying the default-mode component in spatial IC analyses of patients with disorders of consciousness.
English
Soddu, Andrea mailto [Université de Liège - ULg > Centre de recherches du cyclotron - Comascience group > > >]
Vanhaudenhuyse, Audrey mailto [Université de Liège - ULg > Centre de recherches du cyclotron - Coma science group > > >]
Bahri, Mohamed Ali [Université de Liège - ULg > > Centre de recherches du cyclotron]
Bruno, Marie-Aurélie mailto [Université de Liège - ULg > > Centre de recherches du cyclotron]
Boly, Mélanie mailto [Université de Liège - ULg > Centre de Recherches du Cyclotron - Comascience group > Neurologie > >]
Demertzi, Athina [Université de Liège - ULg > Centre de recherches du cyclotron - Comascience group > > >]
Tshibanda, J. F. [> > > >]
Phillips, Christophe [Université de Liège - ULg > > Centre de recherches du cyclotron]
Stanziano, M. [> > > >]
Ovadia-Caro, S. [> > > >]
Nir, Y. [> > > >]
Maquet, Pierre [Université de Liège - ULg > > Centre de recherches du cyclotron >]
Papa, M. [> > > >]
Malach, R. [Université de Liège - ULg > > Centre de recherches du cyclotron]
Laureys, Steven [Université de Liège - ULg > Centre de recherches du cyclotron - Comascience group > > >]
Noirhomme, Quentin mailto [Université de Liège - ULg > > Centre de recherches du cyclotron - comascience group > > >]
2011
Human Brain Mapping
Wiley Liss, Inc.
Yes (verified by ORBi)
International
1065-9471
1097-0193
New York
NY
[en] resting state ; fMRI ; independent component analysis ; default mode ; vegetative state ; locked-in syndrome
[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.
Centre de Recherches du Cyclotron - CRC
Israel Science Foundation ; Contract grant number: 160/07 ; Contract grant sponsor: MIUR-Progetto FIRB Internazionalizzazione ; Contract grant number: RBIN04KW43 ; Contract grant sponsors: Italian Minerva Grants ; European Commission (DISCOS-Marie Curie RTN, Mindbridge, DECODER, ; McDonnell Foundation ; Mind Science Foundation ; Reine Elisabeth Medical Foundation
http://hdl.handle.net/2268/98855
10.1002/hbm.21249
Copyright (c) 2011 Wiley-Liss, Inc.

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