Mapping the functional connectome traits of levels of consciousness

[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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130

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