[en] Introduction: In healthy conditions, group-level fMRI resting state analyses identify ten
resting state networks (RSNs) of cognitive relevance. Here, we aim to assess the tennetwork
model in severely brain-injured patients suffering from disorders of consciousness
and to identify those networks which will be most relevant to discriminate between
patients and healthy subjects.
Methods: 300 fMRI volumes were obtained in 27 healthy controls and 53 patients in minimally
conscious state (MCS), vegetative state/unresponsive wakefulness syndrome (VS/
UWS) and coma. Independent component analysis (ICA) reduced data dimensionality. The
ten networks were identified by means of a multiple template-matching procedure and
were tested on neuronality properties (neuronal vs non-neuronal) in a data-driven way.
Univariate analyses detected between-group differences in networks’ neuronal properties
and estimated voxel-wise functional connectivity in the networks, which were significantly
less identifiable in patients. A nearest-neighbor “clinical” classifier was used to
determine the networks with high between-group discriminative accuracy.
Results: Healthy controls were characterized by more neuronal components compared to
patients in VS/UWS and in coma. Compared to healthy controls, fewer patients in MCS and
VS/UWS showed components of neuronal origin for the left executive control network,
default mode network (DMN), auditory, and right executive control network. The “clinical”
classifier indicated the DMN and auditory network with the highest accuracy (85.3%) in
discriminating patients from healthy subjects.
Disciplines :
Neurosciences & behavior
Author, co-author :
Demertzi, Athina ✱; Université de Liège - ULiège > Centre de recherches du cyclotron
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Bibliography
Baars B.J. Global workspace theory of consciousness: toward a cognitive neuroscience of human experience. Progress in Brain Research 2005, 150:45-53.
Beckmann C.F., DeLuca M., Devlin J.T., Smith S.M. Investigations into resting-state connectivity using independent component analysis. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 2005, 360(1457):1001-1013.
Boly M., Faymonville M.-E., Peigneux P., Lambermont B., Damas P., Del Fiore G., et al. Auditory processing in severely brain injured patients: differences between the minimally conscious state and the persistent vegetative state. Archives of Neurology 2004, 61(2):233-238.
Boly M., Perlbarg V., Marrelec G., Schabus M., Laureys S., Doyon J., et al. Hierarchical clustering of brain activity during human nonrapid eye movement sleep. Proceedings of the National Academy of Sciences 2012, 109(15):5856-5861.
Boly M., Tshibanda L., Vanhaudenhuyse A., Noirhomme Q., Schnakers C., Ledoux D., et al. Functional connectivity in the default network during resting state is preserved in a vegetative but not in a brain dead patient. Human Brain Mapping 2009, 30:2393-2400.
Boveroux P., Vanhaudenhuyse A., Bruno M.-A., Noirhomme Q., Lauwick S., Luxen A., et al. Breakdown of within- and between-network resting state functional magnetic resonance imaging connectivity during propofol-induced loss of consciousness. Anesthesiology 2010, 113(5):1038-1053.
Bruno M.-A., Fernandez-Espejo D., Lehembre R., Tshibanda L., Vanhaudenhuyse A., Gosseries O., et al. Multimodal neuroimaging in patients with disorders of consciousness showing "functional hemispherectomy". Progress in Brain Research 2011, 193:323-333.
Bruno M.-A., Majerus S., Boly M., Vanhaudenhuyse A., Schnakers C., Gosseries O., et al. Functional neuroanatomy underlying the clinical subcategorization of minimally conscious state patients. Journal of Neurology 2012, 259(6):1087-1098.
Buckner R.L., Andrews-Hanna J.R., Schacter D.L. The brain's default network: anatomy, function, and relevance to disease. Annals of the New York Academy of Sciences 2008, 1124:1-38.
Calhoun V.D., Adali T., Pearlson G.D., Pekar J.J. A method for making group inferences from functional MRI data using independent component analysis. Human Brain Mapping 2001, 14(3):140-151.
Calhoun V.D., Adali T., Stevens M.C., Kiehl K.A., Pekar J.J. Semi-blind ICA of fMRI: A method for utilizing hypothesis-derived time courses in a spatial ICA analysis. NeuroImage 2005, 25(2):527-538.
Cole D.M., Smith S.M., Beckmann C.F. Advances and pitfalls in the analysis and interpretation of resting-state FMRI data. Frontiers in Systems Neuroscience 2010, 4(8).
Coleman M.R., Rodd J.M., Davis M.H., Johnsrude I.S., Menon D.K., Pickard J.D., et al. Do vegetative patients retain aspects of language comprehension? Evidence from fMRI. Brain 2007, 130(10):2494-2507.
Corbetta M. Functional connectivity and neurological recovery. Developmental Psychobiology 2012, 54(3):239-253.
Corbetta M., Shulman G.L. Control of goal-directed and stimulus-driven attention in the brain. Nature Reviews Neuroscience 2002, 3(3):201-215.
D'Argembeau A., Feyers D., Majerus S., Collette F., Van der Linden M., Maquet P., et al. Self-reflection across time: cortical midline structures differentiate between present and past selves. Social Cognitive and Affective Neuroscience 2008, 3(3):244-252.
D'Esposito M., Deouell L.Y., Gazzaley A. Alterations in the BOLD fMRI signal with ageing and disease: a challenge for neuroimaging. Nature Reviews Neuroscience 2003, 4(11):863-872.
Damoiseaux J.S., Rombouts S.A., Barkhof F., Scheltens P., Stam C.J., Smith S.M., et al. Consistent resting-state networks across healthy subjects. Proceedings of the National Academy of Sciences 2006, 103(37):13848-13853.
De Martino F., Gentile F., Esposito F., Balsi M., Di Salle F., Goebel R., et al. Classification of fMRI independent components using IC-fingerprints and support vector machine classifiers. NeuroImage 2007, 34(1):177-194.
Dehaene S., Changeux J.P. Experimental and theoretical approaches to conscious processing. Neuron 2011, 70(2):200-227.
Dehaene S., Sergent C., Changeux J.P. A neuronal network model linking subjective reports and objective physiological data during conscious perception. Proceedings of the National Academy of Sciences 2003, 100(14):8520-8525.
Demertzi A., Soddu A., Faymonville M.-E., Bahri M.-A., Gosseries O., Vanhaudenhuyse A., et al. Hypnotic modulation of resting state fMRI default mode and extrinsic network connectivity. Progress in Brain Research 2011, 193:309-322.
Demertzi A., Soddu A., Laureys S. Consciousness supporting networks. Current Opinion in Neurobiology 2013, 23(2):239-244.
Demertzi A., Vanhaudenhuyse A., Bredart S., Heine L., Di Perri C., Laureys S. Looking for the self in pathological unconsciousness. Frontiers in Human Neuroscience 2013, 7:538.
Fox M.D., Corbetta M., Snyder A.Z., Vincent J.L., Raichle M.E. Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems. Proceedings of the National Academy of Sciences of the United States of America 2006, 103(26):10046-10051.
Fox M.D., Snyder A.Z., Vincent J.L., Corbetta M., Van Essen D.C., Raichle M.E. The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proceedings of the National Academy of Sciences 2005, 102(27):9673-9678.
Fransson P. Spontaneous low-frequency BOLD signal fluctuations: an fMRI investigation of the resting-state default mode of brain function hypothesis. Human Brain Mapping 2005, 26(1):15-29.
Giacino J.T., Kalmar K., Whyte J. The JFK Coma Recovery Scale-Revised: measurement characteristics and diagnostic utility. Archives of Physical Medicine and Rehabilitation 2004, 85(12):2020-2029.
Golland Y., Bentin S., Gelbard H., Benjamini Y., Heller R., Nir Y., et al. Extrinsic and intrinsic systems in the posterior cortex of the human brain revealed during natural sensory stimulation. Cerebral Cortex 2007, 17(4):766-777.
Greicius M.D., Srivastava G., Reiss A.L., Menon V. Default-mode network activity distinguishes Alzheimer's disease from healthy aging: evidence from functional MRI. Proceedings of the National Academy of Sciences 2004, 101(13):4637-4642.
Grötschel M., Holland O. Solving matching problems with linear programming. Mathematical Programming 1985, 33(3):243-259.
Guldenmund P., Demertzi A., Boveroux P., Boly M., Vanhaudenhuyse A., Bruno M.A., et al. Thalamus, brainstem and salience network connectivity changes during propofol-induced sedation and unconsciousness. Brain Connectivity 2013, 3(3):273-285.
Hall M.A. Correlation-based feature selection for machine learning 1999, Unpublished PhD, The University of Waikato, Hamilton, NewZealand.
He B.J., Shulman G.L., Snyder A.Z., Corbetta M. The role of impaired neuronal communication in neurological disorders. Current Opinion in Neurology 2007, 20(6):655-660.
Heine L., Soddu A., Gomez F., Vanhaudenhuyse A., Tshibanda L., Thonnard M., et al. Resting state networks and consciousness. Alterations of multiple resting state network connectivity in physiological, pharmacological and pathological consciousness states. Frontiers in Psychology 2012, 3:1-12.
Hoeft F., Gabrieli J.D., Whitfield-Gabrieli S., Haas B.W., Bammer R., Menon V., et al. Functional brain basis of hypnotizability. Archives of General Psychiatry 2012, 69(10):1064-1072.
Holmes A., Friston K. Generalisability, random effects and population inference. NeuroImage 1998, 7:754.
Horovitz S.G., Braun A.R., Carr W.S., Picchioni D., Balkin T.J., Fukunaga M., et al. Decoupling of the brain's default mode network during deep sleep. Proceedings of the National Academy of Sciences 2009, 106(27):11376-11381.
Horovitz S.G., Fukunaga M., de Zwart J.A., van Gelderen P., Fulton S.C., Balkin T.J., et al. Low frequency BOLD fluctuations during resting wakefulness and light sleep: a simultaneous EEG-fMRI study. Human Brain Mapping 2008, 29(6):671-682.
Kinney H.C., Samuels M.A. Neuropathology of the persistent vegetative state. A Review 1994, 53(6):548-558.
Laird A.R., Fox P.M., Eickhoff S.B., Turner J.A., Ray K.L., McKay D.R., et al. Behavioral interpretations of intrinsic connectivity networks. Journal of Cognitive Neuroscience 2011, 23(12):4022-4037.
Laureys S. The neural correlate of (un)awareness: lessons from the vegetative state. Trends in Cognitive Sciences 2005, 9(12):556-559.
Laureys S., Faymonville M.-E., Degueldre C., Fiore G.D., Damas P., Lambermont B., et al. Auditory processing in the vegetative state. Brain 2000, 123(8):1589-1601.
Laureys S., Goldman S., Phillips C., Van Bogaert P., Aerts J., Luxen A., et al. Impaired effective cortical connectivity in vegetative state: preliminary investigation using PET. NeuroImage 1999, 9(4):377-382.
Laureys S., Lemaire C., Maquet P., Phillips C., Franck G. Cerebral metabolism during vegetative state and after recovery to consciousness. Journal of Neurology, Neurosurgery, and Psychiatry 1999, 67(1):121.
Laureys S., Owen A.M., Schiff N.D. Brain function in coma, vegetative state, and related disorders. Lancet Neurology 2004, 3(9):537-546.
Martuzzi R., Ramani R., Qiu M., Rajeevan N., Constable R.T. Functional connectivity and alterations in baseline brain state in humans. NeuroImage 2010, 49(1):823-834.
Mason M.F., Norton M.I., Van Horn J.D., Wegner D.M., Grafton S.T., Macrae C.N. Wandering minds: the default network and stimulus-independent thought. Science 2007, 315(5810):393-395.
McGeown W.J., Mazzoni G., Venneri A., Kirsch I. Hypnotic induction decreases anterior default mode activity. Consciousness and Cognition 2009, 18(4):848-855.
Norton L., Hutchison R.M., Young G.B., Lee D.H., Sharpe M.D., Mirsattari S.M. Disruptions of functional connectivity in the default mode network of comatose patients. Neurology 2012, 78(3):175-181.
Ovadia-Caro S., Nir Y., Soddu A., Ramot M., Hesselmann G., Vanhaudenhuyse A., et al. Reduction in inter-hemispheric connectivity in disorders of consciousness. PLoS ONE 2012, 7(5):e37238.
Raichle M.E., MacLeod A.M., Snyder A.Z., Powers W.J., Gusnard D.A., Shulman G.L. A default mode of brain function. Proceedings of the National Academy of Sciences 2001, 98(2):676-682.
Schiff N.D., Rodriguez-Moreno D., Kamal A., Kim K.H., Giacino J.T., Plum F., et al. fMRI reveals large-scale network activation in minimally conscious patients. Neurology 2005, 64(3):514-523.
Schnakers C., Majerus S., Giacino J.T., Vanhaudenhuyse A., Bruno M.-A., Boly M., et al. French validation study of the Coma Recovery Scale-Revised (CRS-R). Brain Injury 2008, 22(10):786-792.
Schrouff J., Perlbarg V., Boly M., Marrelec G., Boveroux P., Vanhaudenhuyse A., et al. Brain functional integration decreases during propofol-induced loss of consciousness. NeuroImage 2011, 57(1):198-205.
Smith S.M., Fox P.T., Miller K.L., Glahn D.C., Fox P.M., Mackay C.E., et al. Correspondence of the brain's functional architecture during activation and rest. Proceedings of the National Academy of Sciences 2009, 106(31):13040-13045.
Soddu A., Vanhaudenhuyse A., Bahri M.A., Bruno M.-A., Boly M., Demertzi A., et al. Identifying the default-mode component in spatial IC analyses of patients with disorders of consciousness. Human Brain Mapping 2012, 33(4):778-796.
Soddu A., Vanhaudenhuyse A., Demertzi A., Bruno M.-A., Tshibanda L., Di H., et al. Resting state activity in patients with disorders of consciousness. Functional Neurology 2011, 26(1):37-43.
Thibaut A., Bruno M.-A., Chatelle C., Gosseries O., Vanhaudenhuyse A., Demertzi A., et al. Metabolic activity in external and internal awareness networks in severely brain-damaged patients. Journal of Rehabilitation Medicine 2012, 44(5):487-494.
Tian L., Jiang T., Liu Y., Yu C., Wang K., Zhou Y., et al. The relationship within and between the extrinsic and intrinsic systems indicated by resting state correlational patterns of sensory cortices. NeuroImage 2007, 36(3):684-690.
Turk D.J., Heatherton T.F., Macrae C.N., Kelley W.M., Gazzaniga M.S. Out of contact, out of mind: the distributed nature of the self. Annals of the New York Academy of Sciences 2003, 1001:65-78.
Van Dijk K.R.A., Sabuncu M.R., Buckner R.L. The influence of head motion on intrinsic functional connectivity MRI. NeuroImage 2012, 59(1):431-438.
Vanhaudenhuyse A., Demertzi A., Schabus M., Noirhomme Q., Bredart S., Boly M., et al. Two distinct neuronal networks mediate the awareness of environment and of self. Journal of Cognitive Neuroscience 2011, 23(3):570-578.
Vanhaudenhuyse A., Noirhomme Q., Tshibanda L.J., Bruno M.-A., Boveroux P., Schnakers C., et al. Default network connectivity reflects the level of consciousness in non-communicative brain-damaged patients. Brain 2010, 133(Pt 1):161-171.
Ylipaavalniemi J., Vigario R. Analyzing consistency of independent components: an fMRI illustration. NeuroImage 2008, 39(1):169-180.
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