ORBi: Soddu Andrea - Resting state activity in patients with disorders of consciousness.

Reference : Resting state activity in patients with disorders of consciousness.


	Document type :	Scientific journals : Article
	Discipline(s) :	Human health sciences : Neurology
	To cite this reference:	http://hdl.handle.net/2268/107491

Title :	Resting state activity in patients with disorders of consciousness.
Language :	English
Author, co-author :	Soddu, Andrea [Université de Liège - ULg > > Centre de recherches du cyclotron]
	Vanhaudenhuyse, Audrey [Université de Liège - ULg > > Centre de recherches du cyclotron]
	Demertzi, Athena [> > > >]
	Bruno, Marie-Aurélie [Université de Liège - ULg > > Centre de recherches du cyclotron]
	TSHIBANDA, Luaba [Centre Hospitalier Universitaire de Liège - CHU > > Imagerie médicale]
	Di, Haibo [> > > >]
	Melanie, Boly [> > > >]
	Papa, Michele [> > > >]
	Laureys, Steven [Université de Liège - ULg > > Centre de recherches du cyclotron]
	Noirhomme, Quentin [Université de Liège - ULg > > Centre de recherches du cyclotron]
Publication date :	2011
Journal title :	Functional Neurology
Publisher :	CIC Edizioni Internationali
Volume :	26
Issue/season :	1
Pages :	37-43
ISSN :	0393-5264
City :	Roma
Country :	Italy
Keywords :	[en] Brain/physiopathology ; Coma/physiopathology ; Consciousness ; Consciousness Disorders/physiopathology ; Humans ; Magnetic Resonance Imaging ; Persistent Vegetative State/physiopathology
Abstract :	[en] Recent advances in the study of spontaneous brain activity have demonstrated activity patterns that emerge with no task performance or sensory stimulation; these discoveries hold promise for the study of higher-order associative network functionality. Additionally, such advances are argued to be relevant in pathological states, such as disorders of consciousness (DOC), i.e., coma, vegetative and minimally conscious states. Recent studies on resting state activity in DOC, measured with functional magnetic resonance imaging (fMRI) techniques, show that functional connectivity is disrupted in the task-negative or the default mode network. However, the two main approaches employed in the analysis of resting state functional connectivity data (i.e., hypothesis-driven seed-voxel and data-driven independent component analysis) present multiple methodological difficulties, especially in non-collaborative DOC patients. Improvements in motion artifact removal and spatial normalization are needed before fMRI resting state data can be used as proper biomarkers in severe brain injury. However, we anticipate that such developments will boost clinical resting state fMRI studies, allowing for easy and fast acquisitions and ultimately improve the diagnosis and prognosis in the absence of DOC patients' active collaboration in data acquisition.
Permalink :	http://hdl.handle.net/2268/107491

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