Mapping the functional connectome traits of levels of consciousness

Enrico Amico, Daniele Marinazzo, Carol Di Perri, Lizette Heine, Jitka Annen, Charlotte Martial, Mario Dzemidzic, Murielle Kirsch, Vincent Bonhomme, Steven Laureys, Joaquín Goñi

Research output: Contribution to journalArticle

28 Citations (Scopus)

Abstract

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/clinical 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 a “resting” human brain, and it is associated to a sedative (sevoflurane), the overall effect of the pathology and the level of arousal. The second FC-trait reflects the disconnection of the visual and sensory-motor connectivity patterns. It also relates to the time since the insult and 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 hemispheres, 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 of functional brain networks, shedding further light on the functional sub-circuits that get disrupted in severe brain-damage.

Original languageEnglish (US)
Pages (from-to)201-211
Number of pages11
JournalNeuroImage
Volume148
DOIs
StatePublished - Mar 1 2017

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Connectome
Consciousness
Brain
Consciousness Disorders
Aptitude
Coma
Arousal
Nervous System Diseases
Hypnotics and Sedatives
Cognition
Pathology

Keywords

  • Brain connectivity
  • Consciousness
  • fMRI
  • Network science

ASJC Scopus subject areas

  • Neurology
  • Cognitive Neuroscience

Cite this

Amico, E., Marinazzo, D., Di Perri, C., Heine, L., Annen, J., Martial, C., ... Goñi, J. (2017). Mapping the functional connectome traits of levels of consciousness. NeuroImage, 148, 201-211. https://doi.org/10.1016/j.neuroimage.2017.01.020

Mapping the functional connectome traits of levels of consciousness. / Amico, Enrico; Marinazzo, Daniele; Di Perri, Carol; Heine, Lizette; Annen, Jitka; Martial, Charlotte; Dzemidzic, Mario; Kirsch, Murielle; Bonhomme, Vincent; Laureys, Steven; Goñi, Joaquín.

In: NeuroImage, Vol. 148, 01.03.2017, p. 201-211.

Research output: Contribution to journalArticle

Amico, E, Marinazzo, D, Di Perri, C, Heine, L, Annen, J, Martial, C, Dzemidzic, M, Kirsch, M, Bonhomme, V, Laureys, S & Goñi, J 2017, 'Mapping the functional connectome traits of levels of consciousness', NeuroImage, vol. 148, pp. 201-211. https://doi.org/10.1016/j.neuroimage.2017.01.020
Amico E, Marinazzo D, Di Perri C, Heine L, Annen J, Martial C et al. Mapping the functional connectome traits of levels of consciousness. NeuroImage. 2017 Mar 1;148:201-211. https://doi.org/10.1016/j.neuroimage.2017.01.020
Amico, Enrico ; Marinazzo, Daniele ; Di Perri, Carol ; Heine, Lizette ; Annen, Jitka ; Martial, Charlotte ; Dzemidzic, Mario ; Kirsch, Murielle ; Bonhomme, Vincent ; Laureys, Steven ; Goñi, Joaquín. / Mapping the functional connectome traits of levels of consciousness. In: NeuroImage. 2017 ; Vol. 148. pp. 201-211.
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