Injury patterns associated with cognitive motor dissociation.

In unconscious appearing patients with acute brain injury, wilful brain activation to motor commands without behavioural signs of command following, known as cognitive motor dissociation (CMD), is associated with functional recovery. CMD can be detected by applying machine learning to EEG recorded during motor command presentation in behaviourally unresponsive patients. Identifying patients with CMD carries clinical implications for patient interactions, communication with families, and guidance of therapeutic decisions but underlying mechanisms of CMD remain unknown. By analysing structural lesion patterns and network level dysfunction we tested the hypothesis that, in cases with preserved arousal and command comprehension, a failure to integrate comprehended motor commands with motor outputs underlies CMD. Manual segmentation of T2-fluid attenuated inversion recovery and diffusion weighted imaging sequences quantifying structural injury was performed in consecutive unresponsive patients with acute brain injury (n = 107) who underwent EEG-based CMD assessments and MRI. Lesion pattern analysis was applied to identify lesion patterns common among patients with (n = 21) and without CMD (n = 86). Thalamocortical and cortico-cortical network connectivity were assessed applying ABCD classification of power spectral density plots and weighted pairwise phase consistency (WPPC) to resting EEG, respectively. Two distinct structural lesion patterns were identified on MRI for CMD and three for non-CMD patients. In non-CMD patients, injury to brainstem arousal pathways including the midbrain were seen, while no CMD patients had midbrain lesions. A group of non-CMD patients was identified with injury to the left thalamus, implicating possible language comprehension difficulties. Shared lesion patterns of globus pallidus and putamen were seen for a group of CMD patients, which have been implicated as part of the anterior forebrain mesocircuit in patients with reversible disorders of consciousness. Thalamocortical network dysfunction was less common in CMD patients [ABCD-index 2.3 (interquartile range, IQR 2.1-3.0) versus 1.4 (IQR 1.0-2.0), P < 0.0001; presence of D 36% versus 3%, P = 0.0006], but WPPC was not different. Bilateral cortical lesions were seen in patients with and without CMD. Thalamocortical disruption did not differ for those with CMD, but long-range WPPC was decreased in 1-4 Hz [odds ratio (OR) 0.8; 95% confidence interval (CI) 0.7-0.9] and increased in 14-30 Hz frequency ranges (OR 1.2; 95% CI 1.0-1.5). These structural and functional data implicate a failure of motor command integration at the anterior forebrain mesocircuit level with preserved thalamocortical network function for CMD patients with subcortical lesions. Amongst patients with bilateral cortical lesions preserved cortico-cortical network function is associated with CMD detection. These data may allow screening for CMD based on widely available structural MRI and resting EEG.

[1]  J. Giacino,et al.  Incidence and prevalence of coma in the UK and the USA , 2022, Brain communications.

[2]  C. Schnakers,et al.  What names for covert awareness? A systematic review , 2022, Frontiers in Human Neuroscience.

[3]  B. Rohaut,et al.  Cognitive-motor dissociation and time to functional recovery in patients with acute brain injury in the USA: a prospective observational cohort study , 2022, The Lancet Neurology.

[4]  E. Hattingen,et al.  Isolated thalamic stroke – analysis of clinical characteristics and asymmetry of lesion distribution in a retrospective cohort study , 2021, Neurological Research and Practice.

[5]  Mary M. Conte,et al.  Electrophysiological correlates of thalamocortical function in acute severe traumatic brain injury , 2021, Cortex.

[6]  Adrian V. Dalca,et al.  Mapping the subcortical connectivity of the human default mode network , 2021, NeuroImage.

[7]  Steven Laureys,et al.  Research Needs for Prognostic Modeling and Trajectory Analysis in Patients with Disorders of Consciousness , 2021, Neurocritical Care.

[8]  A. Owen,et al.  A Precision Medicine Framework for Classifying Patients with Disorders of Consciousness: Advanced Classification of Consciousness Endotypes (ACCESS) , 2021, Neurocritical Care.

[9]  S. Mayer,et al.  Therapies to Restore Consciousness in Patients with Severe Brain Injuries: A Gap Analysis and Future Directions , 2021, Neurocritical Care.

[10]  M. Boly,et al.  Proceedings of the First Curing Coma Campaign NIH Symposium: Challenging the Future of Research for Coma and Disorders of Consciousness , 2021, Neurocritical Care.

[11]  M. Boly,et al.  Mechanisms Underlying Disorders of Consciousness: Bridging Gaps to Move Toward an Integrated Translational Science , 2021, Neurocritical Care.

[12]  L. Naccache,et al.  Preservation of Brain Activity in Unresponsive Patients Identifies MCS Star , 2021, Annals of neurology.

[13]  Guy B. Williams,et al.  Preserved fractal character of structural brain networks is associated with covert consciousness after severe brain injury , 2021, NeuroImage: Clinical.

[14]  S. Chennu,et al.  The prognostic value of resting-state EEG in acute post-traumatic unresponsive states , 2021, Brain communications.

[15]  C. Schnakers,et al.  Ultrasonic thalamic stimulation in chronic disorders of consciousness , 2021, Brain Stimulation.

[16]  N. Schiff,et al.  Recovery from disorders of consciousness: mechanisms, prognosis and emerging therapies , 2020, Nature Reviews Neurology.

[17]  M. Bianciardi,et al.  Ascending arousal network connectivity during recovery from traumatic coma , 2020, NeuroImage: Clinical.

[18]  B. Edlow,et al.  MRI in disorders of consciousness , 2020, Current opinion in neurology.

[19]  Yasin Kaymaz,et al.  Evaluating single-cell cluster stability using the Jaccard similarity index , 2020, bioRxiv.

[20]  T. Kustermann,et al.  Brain functional connectivity during the first day of coma reflects long-term outcome , 2020, NeuroImage: Clinical.

[21]  Nicholas D Schiff,et al.  Central Lateral Thalamic Nucleus Stimulation Awakens Cortex via Modulation of Cross-Regional, Laminar-Specific Activity during General Anesthesia , 2020, Neuron.

[22]  Soojin Park,et al.  EEG to detect early recovery of consciousness in amantadine-treated acute brain injury patients , 2020, Journal of Neurology, Neurosurgery, and Psychiatry.

[23]  M. Fox,et al.  Cortical lesions causing loss of consciousness are anticorrelated with the dorsal brainstem , 2020, Human brain mapping.

[24]  J. Giacino,et al.  Behavioral Recovery and Early Decision Making in Patients with Prolonged Disturbance in Consciousness after Traumatic Brain Injury , 2019, Journal of neurotrauma.

[25]  Steven Laureys,et al.  Minimally conscious state “plus”: diagnostic criteria and relation to functional recovery , 2019, Journal of Neurology.

[26]  C. Nolte,et al.  “Thalamic aphasia” after stroke is associated with left anterior lesion location , 2019, Journal of Neurology.

[27]  E. Brown,et al.  Disruption of the ascending arousal network in acute traumatic disorders of consciousness , 2019, Neurology.

[28]  R. Buckner,et al.  The brain’s default network: updated anatomy, physiology and evolving insights , 2019, Nature Reviews Neuroscience.

[29]  Elisabeth A. Murray,et al.  Lesion Studies in Contemporary Neuroscience , 2019, Trends in Cognitive Sciences.

[30]  N. Schiff,et al.  Plum and Posner's Diagnosis and Treatment of Stupor and Coma , 2019 .

[31]  Andrey Eliseyev,et al.  Detection of Brain Activation in Unresponsive Patients with Acute Brain Injury. , 2019, The New England journal of medicine.

[32]  A. Brickman,et al.  Deep structural brain lesions associated with consciousness impairment early after hemorrhagic stroke , 2019, Scientific Reports.

[33]  C. Chatelle,et al.  Motor behavior unmasks residual cognition in disorders of consciousness , 2019, Annals of neurology.

[34]  O. Donchin,et al.  A Revised Computational Neuroanatomy for Motor Control , 2019, Journal of Cognitive Neuroscience.

[35]  Michael N. Economo,et al.  A cortico-cerebellar loop for motor planning , 2018, Nature.

[36]  A. Vanhaudenhuyse,et al.  Transcranial direct current stimulation unveils covert consciousness , 2018, Brain Stimulation.

[37]  A. Owen,et al.  Do Patients Thought to Lack Consciousness Retain the Capacity for Internal as Well as External Awareness? , 2018, Front. Neurol..

[38]  Alfonso Nieto-Castanon,et al.  Functional networks reemerge during recovery of consciousness after acute severe traumatic brain injury , 2018, Cortex.

[39]  Mary M. Conte,et al.  Characterization of EEG signals revealing covert cognition in the injured brain , 2018, Brain : a journal of neurology.

[40]  C. Chu,et al.  Abnormal coherence and sleep composition in children with Angelman syndrome: a retrospective EEG study , 2018, Molecular Autism.

[41]  Lionel Naccache,et al.  Minimally conscious state or cortically mediated state? , 2017, Brain : a journal of neurology.

[42]  L. Hochberg,et al.  Early detection of consciousness in patients with acute severe traumatic brain injury , 2017, Brain : a journal of neurology.

[43]  D. Kondziella Roald Dahl and the complete locked-in syndrome: “Cold dead body, living brain” , 2017, Journal of the Neurological Sciences.

[44]  Steven Laureys,et al.  Brain networks predict metabolism, diagnosis and prognosis at the bedside in disorders of consciousness , 2017, Brain : a journal of neurology.

[45]  Zengcai V. Guo,et al.  Maintenance of persistent activity in a frontal thalamocortical loop , 2017, Nature.

[46]  C. Koch,et al.  Are the Neural Correlates of Consciousness in the Front or in the Back of the Cerebral Cortex? Clinical and Neuroimaging Evidence , 2017, The Journal of Neuroscience.

[47]  D. Brodie,et al.  Dynamic regimes of neocortical activity linked to corticothalamic integrity correlate with outcomes in acute anoxic brain injury after cardiac arrest , 2017, Annals of clinical and translational neurology.

[48]  Á. Pascual-Leone,et al.  A human brain network derived from coma-causing brainstem lesions , 2016, Neurology.

[49]  N. Schiff,et al.  Bedside quantitative electroencephalography improves assessment of consciousness in comatose subarachnoid hemorrhage patients , 2016 .

[50]  N. Schiff Cognitive Motor Dissociation Following Severe Brain Injuries. , 2015, JAMA neurology.

[51]  A. Owen,et al.  A Thalamocortical Mechanism for the Absence of Overt Motor Behavior in Covertly Aware Patients. , 2015, JAMA neurology.

[52]  Gérard Govaert,et al.  Estimation and selection for the latent block model on categorical data , 2015, Stat. Comput..

[53]  Yong He,et al.  Intrinsic Functional Connectivity Patterns Predict Consciousness Level and Recovery Outcome in Acquired Brain Injury , 2015, The Journal of Neuroscience.

[54]  Daniel Kondziella,et al.  Preserved consciousness in vegetative and minimal conscious states: systematic review and meta-analysis , 2015, Journal of Neurology, Neurosurgery & Psychiatry.

[55]  Steven Laureys,et al.  Thalamic and extrathalamic mechanisms of consciousness after severe brain injury , 2015, Annals of neurology.

[56]  Wilfried Philips,et al.  MRI Segmentation of the Human Brain: Challenges, Methods, and Applications , 2015, Comput. Math. Methods Medicine.

[57]  Steven Laureys,et al.  Diagnostic precision of PET imaging and functional MRI in disorders of consciousness: a clinical validation study , 2014, The Lancet.

[58]  M. Sigman,et al.  Large scale screening of neural signatures of consciousness in patients in a vegetative or minimally conscious state. , 2014, Brain : a journal of neurology.

[59]  Steven Laureys,et al.  Regional cerebral metabolic patterns demonstrate the role of anterior forebrain mesocircuit dysfunction in the severely injured brain , 2014, Proceedings of the National Academy of Sciences.

[60]  Martin Luessi,et al.  MEG and EEG data analysis with MNE-Python , 2013, Front. Neuroinform..

[61]  Mary M. Conte,et al.  Common resting brain dynamics indicate a possible mechanism underlying zolpidem response in severe brain injury , 2013, eLife.

[62]  F. Ehlen,et al.  Functional roles of the thalamus for language capacities , 2013, Front. Syst. Neurosci..

[63]  Thomas Benner,et al.  Disconnection of the ascending arousal system in traumatic coma. , 2013, Journal of neuropathology and experimental neurology.

[64]  G. Dai,et al.  Neuroanatomic Connectivity of the Human Ascending Arousal System Critical to Consciousness and Its Disorders , 2012, Journal of neuropathology and experimental neurology.

[65]  Donald H. Lee,et al.  Disruptions of functional connectivity in the default mode network of comatose patients , 2012, Neurology.

[66]  Jonathan D. Victor,et al.  Determination of awareness in patients with severe brain injury using EEG power spectral analysis , 2011, Clinical Neurophysiology.

[67]  Byoung-Kyong Min,et al.  Transcranial focused ultrasound to the thalamus alters anesthesia time in rats , 2011, Neuroreport.

[68]  Steven Laureys,et al.  From unresponsive wakefulness to minimally conscious PLUS and functional locked-in syndromes: recent advances in our understanding of disorders of consciousness , 2011, Journal of Neurology.

[69]  Gaël Varoquaux,et al.  Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..

[70]  Valeria Della-Maggiore,et al.  Functional Imaging Reveals Movement Preparatory Activity in the Vegetative State , 2011, Front. Hum. Neurosci..

[71]  Martin Vinck,et al.  The pairwise phase consistency: A bias-free measure of rhythmic neuronal synchronization , 2010, NeuroImage.

[72]  N. Schiff Recovery of consciousness after brain injury: a mesocircuit hypothesis , 2010, Trends in Neurosciences.

[73]  J. Krakauer,et al.  A computational neuroanatomy for motor control , 2008, Experimental Brain Research.

[74]  Abraham Z. Snyder,et al.  A default mode of brain function: A brief history of an evolving idea , 2007, NeuroImage.

[75]  F. Plum,et al.  Behavioural improvements with thalamic stimulation after severe traumatic brain injury , 2007, Nature.

[76]  N. Schiff,et al.  Shades of Gray: New Insights into the Vegetative State , 2006, The Hastings Center report.

[77]  S. Grillner,et al.  Mechanisms for selection of basic motor programs – roles for the striatum and pallidum , 2005, Trends in Neurosciences.

[78]  Wilkin Chau,et al.  Left thalamo-cortical network implicated in successful speech separation and identification , 2005, NeuroImage.

[79]  F. Plum,et al.  fMRI reveals large-scale network activation in minimally conscious patients , 2005, Neurology.

[80]  J. Giacino,et al.  The JFK Coma Recovery Scale-Revised: measurement characteristics and diagnostic utility. , 2004, Archives of physical medicine and rehabilitation.

[81]  D. Spencer,et al.  Ictal neocortical slowing in temporal lobe epilepsy , 2004, Neurology.

[82]  Steven Laureys,et al.  Brain function in coma, vegetative state, and related disorders , 2004, The Lancet Neurology.

[83]  J. Decety,et al.  Motor cognition: a new paradigm to study self–other interactions , 2004, Current Opinion in Neurobiology.

[84]  A. Damasio,et al.  Neuroanatomical correlates of brainstem coma. , 2003, Brain : a journal of neurology.

[85]  Gérard Govaert,et al.  Clustering with block mixture models , 2003, Pattern Recognit..

[86]  Martin Lauritzen,et al.  Neuronal deactivation explains decreased cerebellar blood flow in response to focal cerebral ischemia or suppressed neocortical function , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[87]  M. Jeannerod Neural Simulation of Action: A Unifying Mechanism for Motor Cognition , 2001, NeuroImage.

[88]  M Steriade,et al.  Disfacilitation and active inhibition in the neocortex during the natural sleep-wake cycle: an intracellular study. , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[89]  Alan C. Evans,et al.  Brain Mechanisms of Propofol-Induced Loss of Consciousness in Humans: a Positron Emission Tomographic Study , 1999, The Journal of Neuroscience.

[90]  J. Decety The neurophysiological basis of motor imagery , 1996, Behavioural Brain Research.

[91]  M. Steriade,et al.  A novel slow (< 1 Hz) oscillation of neocortical neurons in vivo: depolarizing and hyperpolarizing components , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[92]  D. Laplane,et al.  Motor neglect. , 1983, Journal of neurology, neurosurgery, and psychiatry.

[93]  B Jennett,et al.  Disability after severe head injury: observations on the use of the Glasgow Outcome Scale. , 1981, Journal of neurology, neurosurgery, and psychiatry.

[94]  Steven Laureys,et al.  Resting-state EEG study of comatose patients: a connectivity and frequency analysis to find differences between vegetative and minimally conscious states. , 2012, Functional neurology.

[95]  M. Boly,et al.  Default network connectivity reflects the level of consciousness in non-communicative brain-damaged patients. , 2010, Brain : a journal of neurology.

[96]  Caroline Schnakers,et al.  Behavioral assessment in patients with disorders of consciousness: gold standard or fool's gold? , 2009, Progress in brain research.

[97]  Y. Benjamini,et al.  Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .

[98]  M. Baulac,et al.  [Motor neglect of thalamic origin]. , 1986, Revue neurologique.

[99]  G. Ettlinger,et al.  Subcortical neglect. , 1984, Neurology.