Identifying the default-mode component in spatial IC analyses of patients with disorders of consciousness

Andrea Soddu, Audrey Vanhaudenhuyse, Mohamed Ali Bahri, Marie Aurelie Bruno, Mélanie Boly, Athena Demertzi, Jean Flory Tshibanda, Christophe Phillips, Mario Stanziano, Smadar Ovadia-Caro, Yuval Nir, Pierre Maquet, Michele Papa, Rafael Malach, Steven Laureys, Quentin Noirhomme

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)778-796
Number of pages19
JournalHuman Brain Mapping
Volume33
Issue number4
DOIs
StatePublished - Apr 2012
Externally publishedYes

Keywords

  • Consciousness
  • Default mode
  • FMRI
  • Independent component analysis
  • Locked-in syndrome
  • Resting state
  • Vegetative state

ASJC Scopus subject areas

  • Clinical Neurology
  • Neurology
  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Anatomy

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