Article (Scientific journals)
Mapping the functional connectome traits of levels of consciousness
Amico, Enrico; Marinazzo, Daniele; Di Perri, Carol et al.
2017In NeuroImage
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Abstract :
[en] Examining task-free functional connectivity (FC) in the human brain offers insights on how spontaneous integration and segregation of information relate to human cognition, and how this organization may be altered in different conditions, and neurological disorders. This is particularly relevant for patients in disorders of consciousness (DOC) following severe acquired brain damage and coma, one of the most devastating conditions in modern medical care. We present a novel data-driven methodology, connICA, which implements Independent Component Analysis (ICA) for the extraction of robust independent FC patterns (FC-traits) from a set of individual functional connectomes, without imposing any a priori data stratification into groups. We here apply connICA to investigate associations between network-traits derived from task-free FC and cognitive features that define levels of consciousness. Three main independent FC-traits were identified and linked to consciousness-related clinical features. The first one represents the functional configuration of an "awake resting" brain, and is associated to the level of arousal. The second FC-trait reflects the disconnection of the visual and sensory-motor connectivity patterns and relates to the ability of communicating with the external environment. The third FC-trait isolates the connectivity pattern encompassing the fronto-parietal and the default-mode network areas as well as the interaction between left and right hemisphere, which are also associated to the awareness of the self and its surroundings. Each FC-trait represents a distinct functional process with a role in the degradation of conscious states in functional brain networks, shedding further light on the functional subcircuits that get disrupted in severe brain-damage.
Disciplines :
Neurology
Author, co-author :
Amico, Enrico ;  Université de Liège > Centre de recherches du cyclotron
Marinazzo, Daniele;  Universiteit Gent > Department of Data Analysis
Di Perri, Carol ;  Université de Liège > GIGA : Coma Group
Heine, Lizette ;  Université de Liège > Centre de recherches du cyclotron
Annen, Jitka  ;  Université de Liège > Centre de recherches du cyclotron
Martial, Charlotte  ;  Université de Liège > GIGA : Coma Group
Dzemidzic, Mario;  Indiana University School of Medicine Indianapolis > Department of Neurology
KIRSCH, Murielle ;  Centre Hospitalier Universitaire de Liège - CHU > Service d'anesthésie - réanimation
BONHOMME, Vincent  ;  Centre Hospitalier Universitaire de Liège - CHU > Service d'anesthésie - réanimation
Laureys, Steven  ;  Université de Liège > GIGA : Coma Group
Goni, Joaquin;  Purdue University
Language :
English
Title :
Mapping the functional connectome traits of levels of consciousness
Publication date :
2017
Journal title :
NeuroImage
ISSN :
1053-8119
eISSN :
1095-9572
Publisher :
Elsevier Science, Orlando, United States - Florida
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 01 April 2017

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