Identifying the Default-Mode Component in Spatial IC Analyses of Patients with Disorders of Consciousness
David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Objectives: Recent fMRI studies have shown that it is possible to reliably identify the defaultmode 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 ¼ 2), minimally conscious (n ¼ 1), and vegetative state (n ¼ 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 nearnormal 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 assess-
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
|Through your library||Only published papers are available at libraries|
Similar books and articles
Andrew A. Fingelkurts, Alexander A. Fingelkurts, Sergio Bagnato, Cristina Boccagni & Giuseppe Galardi (2012). DMN Operational Synchrony Relates to Self-Consciousness: Evidence From Patients in Vegetative and Minimally Conscious States. Open Neuroimaging Journal 6:55-68.
Andrew A. Fingelkurts & Alexander A. Fingelkurts (2011). Persistent Operational Synchrony Within Brain Default-Mode Network and Self-Processing Operations in Healthy Subjects. Brain and Cognition 75 (2):79-90.
Jakob Hohwy & David Reutens (2009). A Case for Increased Caution in End of Life Decisions for Disorders of Consciousness. Monash Bioethics 28 (2):13.1-13.13.
Andrew A. Fingelkurts, Alexander A. Fingelkurts, Sergio Bagnato, Cristina Boccagni & Giuseppe Galardi (2012). Toward Operational Architectonics of Consciousness: Basic Evidence From Patients with Severe Cerebral Injuries. Cognitive Processing 13 (2):111-131.
Nicholas Shea & Tim Bayne (2010). The Vegetative State and the Science of Consciousness. British Journal for the Philosophy of Science 61 (3):459.
Andrew A. Fingelkurts, Alexander A. Fingelkurts, Sergio Bagnato, Cristina Boccagni & Giuseppe Galardi (2013). Prognostic Value of Resting-State EEG Structure in Disentangling Vegetative and Minimally Conscious States: A Preliminary Study. Neurorehabilitation and Neural Repair 27 (4):345-354.
Quentin Noirhomme & Caroline Schnakers, A Twitch of Consciousness: Defining the Boundaries of Vegetative and Minimally Conscious States.
Alexander A. Fingelkurts, Andrew A. Fingelkurts, Sergio Bagnato, Cristina Boccagni & Giuseppe Galardi (2012). EEG Oscillatory States as Neuro-Phenomenology of Consciousness as Revealed From Patients in Vegetative and Minimally Conscious States. Consciousness and Cognition 21 (1):149-169.
L. Syd M. Johnson (2010). Implications of Recent Neuroscientific Findings in Patients with Disorders of Consciousness. Neuroethics 3 (2):185-196.
Richard Malone, Caroline Schnakers & Kathleen Kalmar, Does the Four Score Correctly Diagnose the Vegetative and Minimally Conscious States?
Guy Kahane & Julian Savulescu (2009). Brain-Damaged Patients and the Moral Significance of Consciousness. Journal of Medicine and Philosophy 34 (1):6-26.
Athena Demertzi & Mario Stanziano, Reaching Across the Abyss: Recent Advances in Functional Magnetic Resonance Imaging and Their Potential Relevance to Disorders of Consciousness.
Alexander A. Fingelkurts, Andrew A. Fingelkurts, Sergio Bagnato, Cristina Boccagni & Giuseppe Galardi (2013). The Value of Spontaneous EEG Oscillations in Distinguishing Patients in Vegetative and Minimally Conscious States. In Eror Basar & et all (eds.), Application of Brain Oscillations in Neuropsychiatric Diseases. Supplements to Clinical Neurophysiology. Elsevier. 81-99.
Added to index2011-04-27
Total downloads9 ( #126,760 of 1,010,234 )
Recent downloads (6 months)1 ( #64,700 of 1,010,234 )
How can I increase my downloads?