Default network connectivity reflects the level of consciousness in non-communicative brain-damaged patients

被引:612
作者
Vanhaudenhuyse, Audrey [1 ]
Noirhomme, Quentin [1 ]
Tshibanda, Luaba J. -F. [1 ,2 ]
Bruno, Marie-Aurelie [1 ]
Boveroux, Pierre [1 ,3 ]
Schnakers, Caroline [1 ]
Soddu, Andrea [1 ]
Perlbarg, Vincent [4 ]
Ledoux, Didier [1 ,3 ]
Brichant, Jean-Francois [3 ]
Moonen, Gustave [5 ]
Maquet, Pierre [1 ]
Greicius, Michael D. [6 ]
Laureys, Steven [1 ,5 ]
Boly, Melanie [1 ,5 ]
机构
[1] Univ Liege, Cyclotron Res Ctr, Coma Sci Grp, Liege, Belgium
[2] Univ Liege, Dept Radiol, CHU Sart Tilman Hosp, Liege, Belgium
[3] Univ Liege, Dept Anaesthesiol, CHU Sart Tilman Hosp, Liege, Belgium
[4] Hop La Pitie Salpetriere, INSERM, U678, Paris, France
[5] Univ Liege, Dept Neurol, CHU Sart Tilman Hosp, Liege, Belgium
[6] Stanford Univ, Sch Med, Funct Imaging Neuropsychiat Disorders FIND Lab, Dept Neurol & Neurol Sci, Stanford, CA 94305 USA
关键词
Default mode; fMRI; coma; vegetative state; minimally conscious state; INDEPENDENT COMPONENT ANALYSIS; STATE FUNCTIONAL CONNECTIVITY; RESTING-STATE; MODE NETWORK; CINGULATE CORTEX; FLUCTUATIONS; ACTIVATION; PRECUNEUS; DYNAMICS; ANATOMY;
D O I
10.1093/brain/awp313
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
The 'default network' is defined as a set of areas, encompassing posterior-cingulate/precuneus, anterior cingulate/mesiofrontal cortex and temporo-parietal junctions, that show more activity at rest than during attention-demanding tasks. Recent studies have shown that it is possible to reliably identify this network in the absence of any task, by resting state functional magnetic resonance imaging connectivity analyses in healthy volunteers. However, the functional significance of these spontaneous brain activity fluctuations remains unclear. The aim of this study was to test if the integrity of this resting-state connectivity pattern in the default network would differ in different pathological alterations of consciousness. Fourteen non-communicative brain-damaged patients and 14 healthy controls participated in the study. Connectivity was investigated using probabilistic independent component analysis, and an automated template-matching component selection approach. Connectivity in all default network areas was found to be negatively correlated with the degree of clinical consciousness impairment, ranging from healthy controls and locked-in syndrome to minimally conscious, vegetative then coma patients. Furthermore, precuneus connectivity was found to be significantly stronger in minimally conscious patients as compared with unconscious patients. Locked-in syndrome patient's default network connectivity was not significantly different from controls. Our results show that default network connectivity is decreased in severely brain-damaged patients, in proportion to their degree of consciousness impairment. Future prospective studies in a larger patient population are needed in order to evaluate the prognostic value of the presented methodology.
引用
收藏
页码:161 / 171
页数:11
相关论文
共 56 条
[1]   Brain, conscious experience and the observing self [J].
Baars, BJ ;
Ramsoy, TZ ;
Laureys, S .
TRENDS IN NEUROSCIENCES, 2003, 26 (12) :671-675
[2]   Tensorial extensions of independent component analysis for multisubject FMRI analysis [J].
Beckmann, CF ;
Smith, SM .
NEUROIMAGE, 2005, 25 (01) :294-311
[3]   Probabilistic independent component analysis for functional magnetic resonance imaging [J].
Beckmann, CF ;
Smith, SA .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2004, 23 (02) :137-152
[4]   Investigations into resting-state connectivity using independent component analysis [J].
Beckmann, CF ;
DeLuca, M ;
Devlin, JT ;
Smith, SM .
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2005, 360 (1457) :1001-1013
[5]   Intrinsic brain activity in altered states of consciousness - How conscious is the default mode of brain function? [J].
Boly, M. ;
Phillips, C. ;
Tshibanda, L. ;
Vanhaudenhuyse, A. ;
Schabus, M. ;
Dang-Vu, T. T. ;
Moonen, G. ;
Hustinx, R. ;
Maquet, P. ;
Laureys, S. .
MOLECULAR AND BIOPHYSICAL MECHANISMS OF AROUSAL, ALERTNESS, AND ATTENTION, 2008, 1129 :119-129
[6]   Auditory processing in severely brain injured patients - Differences between the minimally conscious state and the persistent vegetative state [J].
Boly, M ;
Faymonville, ME ;
Peigneux, P ;
Lambermont, B ;
Damas, P ;
Del Fiore, G ;
Degueldre, C ;
Franck, G ;
Luxen, A ;
Lamy, M ;
Moonen, G ;
Maquet, P ;
Laureys, S .
ARCHIVES OF NEUROLOGY, 2004, 61 (02) :233-238
[7]   Functional Connectivity in the Default Network During Resting State is Preserved in a Vegetative but Not in a Brain Dead Patient [J].
Boly, M. ;
Tshibanda, L. ;
Vanhaudenhuyse, A. ;
Noirhomme, Q. ;
Schnakers, C. ;
Ledoux, D. ;
Boveroux, P. ;
Garweg, C. ;
Lambermont, B. ;
Phillips, C. ;
Luxen, A. ;
Moonen, G. ;
Bassetti, C. ;
Maquet, P. ;
Laureys, S. .
HUMAN BRAIN MAPPING, 2009, 30 (08) :2393-2400
[8]   Perception of pain in the minimally conscious state with PET activation: an observational study [J].
Boly, Melanie ;
Faymonville, Marie-Elisabeth ;
Schnakers, Caroline ;
Peigneux, Philippe ;
Lambermont, Bernard ;
Phillips, Christophe ;
Lancellotti, Patrizio ;
Luxen, Andre ;
Lamy, Maurice ;
Moonen, Gustave ;
Maquet, Pierre ;
Laureys, Steven .
LANCET NEUROLOGY, 2008, 7 (11) :1013-1020
[9]   THE GLASGOW-LIEGE SCALE - PROGNOSTIC VALUE AND EVOLUTION OF MOTOR RESPONSE AND BRAIN-STEM REFLEXES AFTER SEVERE HEAD-INJURY [J].
BORN, JD .
ACTA NEUROCHIRURGICA, 1988, 91 (1-2) :1-11
[10]   The brain's default network - Anatomy, function, and relevance to disease [J].
Buckner, Randy L. ;
Andrews-Hanna, Jessica R. ;
Schacter, Daniel L. .
YEAR IN COGNITIVE NEUROSCIENCE 2008, 2008, 1124 :1-38