Early Asymmetric Cardio-Cerebral Causality and Outcome after Severe Traumatic Brain Injury.
暂无分享,去创建一个
Ari Ercole | Marek Czosnyka | Peter Smielewski | P. Smielewski | A. Ercole | M. Czosnyka | Lei Gao | Lei Gao | L. Gao | Lei Gao
[1] Albert,et al. Emergence of scaling in random networks , 1999, Science.
[2] Vasilios Papaioannou,et al. Investigation of heart rate and blood pressure variability, baroreflex sensitivity, and approximate entropy in acute brain injury patients. , 2008, Journal of critical care.
[3] S. Ricksten,et al. Can Baroreflex Sensitivity and Heart Rate Variability Predict Late Neurological Outcome in Patients With Traumatic Brain Injury? , 2014, Journal of neurosurgical anesthesiology.
[4] A. Seth,et al. Multivariate Granger causality and generalized variance. , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.
[5] Urs E. Ruttimann,et al. Decomplexification in critical illness and injury: Relationship between heart rate variability, severity of illness, and outcome , 1998, Critical care medicine.
[6] Mingzhou Ding,et al. Analyzing information flow in brain networks with nonparametric Granger causality , 2008, NeuroImage.
[7] Nicola Toschi,et al. Uncovering brain–heart information through advanced signal and image processing , 2016, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[8] H. Akaike. A new look at the statistical model identification , 1974 .
[9] David J. Sharp,et al. Network dysfunction after traumatic brain injury , 2014, Nature Reviews Neurology.
[10] K. Bennett,et al. Effect of Acute Traumatic Brain Injury on Baroreflex Function , 2011, Shock.
[11] C. Granger,et al. Interrater reliability of the 7-level functional independence measure (FIM) , 1994, Scandinavian journal of rehabilitation medicine.
[12] M Miyazaki,et al. Control of ICP and the cerebrovascular bed by the cholinergic basal forebrain. , 1998, Acta neurochirurgica. Supplement.
[13] Shah Atiqur Rahman,et al. Causal Structure of Brain Physiology after Brain Injury from Subarachnoid Hemorrhage , 2016, PloS one.
[14] Jeffrey M. Hausdorff,et al. Fractal dynamics in physiology: Alterations with disease and aging , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[15] D. Menon,et al. Autonomic Impairment in Severe Traumatic Brain Injury: A Multimodal Neuromonitoring Study , 2016, Critical care medicine.
[16] T G Robinson,et al. Cardiac baroreceptor sensitivity is impaired after acute stroke. , 1997, Stroke.
[17] L. Amaral,et al. Multifractality in human heartbeat dynamics , 1998, Nature.
[18] Duncan J. Watts,et al. Collective dynamics of ‘small-world’ networks , 1998, Nature.
[19] Anil K. Seth,et al. A MATLAB toolbox for Granger causal connectivity analysis , 2010, Journal of Neuroscience Methods.
[20] David K. Menon,et al. Changing patterns in the epidemiology of traumatic brain injury , 2013, Nature Reviews Neurology.
[21] A. Porta,et al. Accounting for Respiration is Necessary to Reliably Infer Granger Causality From Cardiovascular Variability Series , 2012, IEEE Transactions on Biomedical Engineering.
[22] A. Shekhar,et al. Dorsomedial/Perifornical hypothalamic stimulation increases intraocular pressure, intracranial pressure, and the translaminar pressure gradient. , 2012, Investigative ophthalmology & visual science.
[23] Amir Bashan,et al. Network physiology reveals relations between network topology and physiological function , 2012, Nature Communications.
[24] Luca Faes,et al. Assessing causality in brain dynamics and cardiovascular control , 2013, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[25] R. Barbieri,et al. Globally conditioned Granger causality in brain–brain and brain–heart interactions: a combined heart rate variability/ultra-high-field (7 T) functional magnetic resonance imaging study , 2016, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[26] C. Granger. Investigating Causal Relations by Econometric Models and Cross-Spectral Methods , 1969 .
[27] J. Pickard,et al. Continuous determination of optimal cerebral perfusion pressure in traumatic brain injury* , 2012, Critical care medicine.
[28] D. Menon. Cerebral protection in severe brain injury: physiological determinants of outcome and their optimisation. , 1999, British medical bulletin.
[29] Ari Ercole,et al. Multifractal Analysis of Hemodynamic Behavior: Intraoperative Instability and Its Pharmacological Manipulation , 2012, Anesthesiology.
[30] Schreiber,et al. Measuring information transfer , 2000, Physical review letters.
[31] A. Seth,et al. Granger Causality Analysis in Neuroscience and Neuroimaging , 2015, The Journal of Neuroscience.
[32] A. Seely,et al. Multiple organ dysfunction syndrome: Exploring the paradigm of complex nonlinear systems , 2000, Critical care medicine.
[33] George Zouridakis,et al. Information Communication Networks in Severe Traumatic Brain Injury , 2010, Brain Topography.
[34] O. Sporns,et al. Complex brain networks: graph theoretical analysis of structural and functional systems , 2009, Nature Reviews Neuroscience.
[35] Ari Ercole,et al. Cerebrovascular Signal Complexity Six Hours after Intensive Care Unit Admission Correlates with Outcome after Severe Traumatic Brain Injury. , 2016, Journal of neurotrauma.
[36] Xiao Hu,et al. Characterization of Interdependency Between Intracranial Pressure and Heart Variability Signals: A Causal Spectral Measure and a Generalized Synchronization Measure , 2007, IEEE Transactions on Biomedical Engineering.
[37] George Zouridakis,et al. FUNCTIONAL CONNECTIVITY CHANGES IN MILD TRAUMATIC BRAIN INJURY ASSESSED USING MAGNETOENCEPHALOGRAPHY , 2012 .
[38] J. Shieh,et al. Complexity of intracranial pressure correlates with outcome after traumatic brain injury. , 2012, Brain : a journal of neurology.
[39] Karl J. Friston,et al. Analysing connectivity with Granger causality and dynamic causal modelling , 2013, Current Opinion in Neurobiology.
[40] B. Jennett,et al. ASSESSMENT OF OUTCOME AFTER SEVERE BRAIN DAMAGE A Practical Scale , 1975, The Lancet.
[41] Patrick R. Norris,et al. Reduced heart rate multiscale entropy predicts death in critical illness: a study of physiologic complexity in 285 trauma patients. , 2008, Journal of critical care.
[42] J. Pickard,et al. Continuous assessment of the cerebral vasomotor reactivity in head injury. , 1997, Neurosurgery.
[43] Timothy G Buchman,et al. Nonlinear dynamics, complex systems, and the pathobiology of critical illness , 2004, Current opinion in critical care.
[44] Yang-Soo Lee,et al. Alteration of Resting-State Brain Sensorimotor Connectivity following Spinal Cord Injury: A Resting-State Functional Magnetic Resonance Imaging Study. , 2015 .
[45] S. Bressler,et al. Granger Causality: Basic Theory and Application to Neuroscience , 2006, q-bio/0608035.