Global structural integrity and effective connectivity in patients with disorders of consciousness

BACKGROUND Previous studies have separately reported impaired functional, structural, and effective connectivity in patients with disorders of consciousness (DOC). The perturbational complexity index (PCI) is a transcranial magnetic stimulation (TMS) derived marker of effective connectivity. The global fractional anisotropy (FA) is a marker of structural integrity. Little is known about how these parameters are related to each other. OBJECTIVE We aimed at testing the relationship between structural integrity and effective connectivity. METHODS We assessed 23 patients with severe brain injury more than 4 weeks post-onset, leading to DOC or locked-in syndrome, and 14 healthy subjects. We calculated PCI using repeated single pulse TMS coupled with high-density electroencephalography, and used it as a surrogate of effective connectivity. Structural integrity was measured using the global FA, derived from diffusion weighted imaging. We used linear regression modelling to test our hypothesis, and computed the correlation between PCI and FA in different groups. RESULTS Global FA could predict 74% of PCI variance in the whole sample and 56% in the patients' group. No other predictors (age, gender, time since onset, behavioural score) improved the models. FA and PCI were correlated in the whole population (r = 0.86, p < 0.0001), the patients, and the healthy subjects subgroups. CONCLUSION We here demonstrated that effective connectivity correlates with structural integrity in brain-injured patients. Increased structural damage level decreases effective connectivity, which could prevent the emergence of consciousness.

[1]  J. Giacino,et al.  The minimally conscious state: Definition and diagnostic criteria , 2002, Neurology.

[2]  R.N.Dej.,et al.  Epilepsy and the Functional Anatomy of the Human Brain , 1954, Neurology.

[3]  Joy Hirsch,et al.  A case of locked-in syndrome complicated by central deafness , 2008, Nature Clinical Practice Neurology.

[4]  Timothy Edward John Behrens,et al.  Addressing a systematic vibration artifact in diffusion‐weighted MRI , 2009, Human brain mapping.

[5]  Thomas R. Barrick,et al.  White matter structural decline in normal ageing: A prospective longitudinal study using tract-based spatial statistics , 2010, NeuroImage.

[6]  G. Tononi,et al.  Stratification of unresponsive patients by an independently validated index of brain complexity , 2016, Annals of neurology.

[7]  G. Tononi,et al.  Consciousness and Complexity during Unresponsiveness Induced by Propofol, Xenon, and Ketamine , 2015, Current Biology.

[8]  Natasha Lepore,et al.  DTI based structural damage characterization for Disorders of Consciousness , 2012, 2012 19th IEEE International Conference on Image Processing.

[9]  Cristian Donos,et al.  A connectomics approach combining structural and effective connectivity assessed by intracranial electrical stimulation , 2016, NeuroImage.

[10]  Andrew Meade,et al.  Detecting Regular Sound Changes in Linguistics as Events of Concerted Evolution , 2015, Current Biology.

[11]  Steven Laureys,et al.  Coma and Disorders of Consciousness: Scientific Advances and Practical Considerations for Clinicians Evolution in Neuroimaging Techniques , 2022 .

[12]  Steven Laureys,et al.  Disorders of consciousness after acquired brain injury: the state of the science , 2014, Nature Reviews Neurology.

[13]  Enrico Amico,et al.  Tracking Dynamic Interactions Between Structural and Functional Connectivity: A TMS/EEG-dMRI Study , 2017, Brain Connect..

[14]  Multi-Society Task Force on Pvs Medical aspects of the persistent vegetative state (1). , 1994, The New England journal of medicine.

[15]  H Takao,et al.  Effects of Age and Gender on White Matter Integrity , 2011, American Journal of Neuroradiology.

[16]  Marcello Massimini,et al.  On the Cerebral Origin of EEG Responses to TMS: Insights From Severe Cortical Lesions , 2015, Brain Stimulation.

[17]  Timothy Edward John Behrens,et al.  Characterization and propagation of uncertainty in diffusion‐weighted MR imaging , 2003, Magnetic resonance in medicine.

[18]  Stephen M Smith,et al.  Fast robust automated brain extraction , 2002, Human brain mapping.

[19]  S Laureys,et al.  Multimodal neuroimaging in patients with disorders of consciousness showing "functional hemispherectomy". , 2011, Progress in brain research.

[20]  Steven Laureys,et al.  Function–structure connectivity in patients with severe brain injury as measured by MRI‐DWI and FDG‐PET , 2016, Human brain mapping.

[21]  Luis Concha,et al.  The acute phase of Wallerian degeneration: Longitudinal diffusion tensor imaging of the fornix following temporal lobe surgery , 2013, NeuroImage.

[22]  Marcello Massimini,et al.  Measures of metabolism and complexity in the brain of patients with disorders of consciousness , 2017, NeuroImage: Clinical.

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

[24]  R. Calabró,et al.  A Single Session of Repetitive Transcranial Magnetic Stimulation Over the Dorsolateral Prefrontal Cortex in Patients With Unresponsive Wakefulness Syndrome , 2015, Neurorehabilitation and neural repair.

[25]  A. Koeppen Plum and Posner's Diagnosis of Stupor and Coma, Fourth edition, J.B. Posner, C.F. Saper, N.D. Schiff, F Plum. Oxford University Press, Oxford and New York (2007), ISBN 978-0-19-532131-1, 401 pages, US$ 79.50 , 2008 .

[26]  Walter G Sannita,et al.  Unresponsive wakefulness syndrome: a new name for the vegetative state or apallic syndrome , 2010, BMC medicine.

[27]  G. Tononi,et al.  Breakdown in cortical effective connectivity during midazolam-induced loss of consciousness , 2010, Proceedings of the National Academy of Sciences.

[28]  E. Otten Plum and Posner's Diagnosis of Stupor and Coma, Fourth Edition, Jerome B. Posner, Clifford B. Saper, Nicholas D. Schiff, Fred Plum (Eds.). Oxford University Press, New York (2007), 401 pages, $79.50 , 2009 .

[29]  Karl J. Friston Functional and Effective Connectivity: A Review , 2011, Brain Connect..

[30]  Marta I. Garrido,et al.  Brain Connectivity in Disorders of Consciousness , 2012, Brain Connect..

[31]  P. Fazio,et al.  Altered resting state effective connectivity in long-standing vegetative state patients: An EEG study , 2014, Clinical Neurophysiology.

[32]  F. Plum,et al.  Residual cerebral activity and behavioural fragments can remain in the persistently vegetative brain. , 2002, Brain : a journal of neurology.

[33]  Steven Laureys,et al.  Measuring consciousness in severely damaged brains. , 2014, Annual review of neuroscience.

[34]  M. Sigman,et al.  Signature of consciousness in the dynamics of resting-state brain activity , 2015, Proceedings of the National Academy of Sciences.

[35]  S. Swinnen,et al.  Brain connectivity and postural control in young traumatic brain injury patients: A diffusion MRI based network analysis☆☆☆ , 2012, NeuroImage: Clinical.

[36]  Umberto Sabatini,et al.  Functional magnetic resonance imaging in disorders of consciousness: preliminary results of an innovative analysis of brain connectivity. , 2015, Functional neurology.

[37]  M. Monti,et al.  Cognition in the vegetative state. , 2012, Annual review of clinical psychology.

[38]  Steven Laureys,et al.  Coma and consciousness: Paradigms (re)framed by neuroimaging , 2012, NeuroImage.

[39]  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.

[40]  Steven Laureys,et al.  Transcranial magnetic stimulation combined with high-density EEG in altered states of consciousness , 2014, Brain injury.

[41]  Andrea Pigorini,et al.  Transcranial magnetic stimulation-evoked EEG/cortical potentials in physiological and pathological aging , 2011, Neuroreport.

[42]  M. Boly,et al.  Brain Connectivity in Pathological and Pharmacological Coma , 2010, Front. Syst. Neurosci..

[43]  Steven Laureys,et al.  The locked-in syndrome : what is it like to be conscious but paralyzed and voiceless? , 2005, Progress in brain research.

[44]  F. Plum,et al.  Persistent vegetative state after brain damage. A syndrome in search of a name. , 1972, Lancet.

[45]  Steven Laureys,et al.  Magnetic resonance spectroscopy and diffusion tensor imaging in coma survivors: promises and pitfalls. , 2009, Progress in brain research.

[46]  Mark W. Woolrich,et al.  Advances in functional and structural MR image analysis and implementation as FSL , 2004, NeuroImage.

[47]  G. Tononi,et al.  Breakdown of Cortical Effective Connectivity During Sleep , 2005, Science.

[48]  A. Owen,et al.  Relationship between the anterior forebrain mesocircuit and the default mode network in the structural bases of disorders of consciousness , 2015, NeuroImage: Clinical.

[49]  Kristen A. Lindgren,et al.  Effective and Structural Connectivity in the Human Auditory Cortex , 2008, The Journal of Neuroscience.

[50]  J. Giacino,et al.  The vegetative and minimally conscious states: consensus-based criteria for establishing diagnosis and prognosis. , 2005, NeuroRehabilitation.

[51]  Adrian M. Owen,et al.  Diffusion weighted imaging distinguishes the vegetative state from the minimally conscious state , 2011, NeuroImage.

[52]  Giulio Tononi,et al.  Conserved Functional Connectivity but Impaired Effective Connectivity of Thalamocortical Circuitry in Schizophrenia , 2012, Brain Connect..

[53]  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.

[54]  R. Calabró,et al.  Can transcranial direct current stimulation be useful in differentiating unresponsive wakefulness syndrome from minimally conscious state patients? , 2015, Restorative neurology and neuroscience.

[55]  R. Clauss Neurotransmitters in disorders of consciousness and brain damage. , 2011, Medical hypotheses.

[56]  Fred Plum,et al.  [The diagnosis of stupor and coma]. , 2015, Brain and nerve = Shinkei kenkyu no shinpo.

[57]  Nicco Reggente,et al.  Disentangling disorders of consciousness: Insights from diffusion tensor imaging and machine learning , 2017, Human brain mapping.

[58]  O. Gosseries,et al.  Pronostic des patients récupérant du coma , 2011 .

[59]  Yvonne Höller,et al.  Impaired consciousness is linked to changes in effective connectivity of the posterior cingulate cortex within the default mode network , 2015, NeuroImage.

[60]  Steve Majerus,et al.  Functional neuroanatomy underlying the clinical subcategorization of minimally conscious state patients , 2012, Journal of Neurology.

[61]  Steven Laureys,et al.  A role for the default mode network in the bases of disorders of consciousness , 2012, Annals of neurology.

[62]  Karl J. Friston,et al.  Preserved Feedforward But Impaired Top-Down Processes in the Vegetative State , 2011, Science.

[63]  Ludovico Minati,et al.  Multimodal study of default‐mode network integrity in disorders of consciousness , 2016, Annals of neurology.

[64]  A. Alexander,et al.  Diffusion tensor imaging of the brain , 2007, Neurotherapeutics.

[65]  G. Tononi,et al.  A Theoretically Based Index of Consciousness Independent of Sensory Processing and Behavior , 2013, Science Translational Medicine.

[66]  Athena Demertzi,et al.  Our rapidly changing understanding of acute and chronic disorders of consciousness: challenges for neurologists , 2013 .

[67]  Lizette Heine,et al.  The repetition of behavioral assessments in diagnosis of disorders of consciousness , 2017, Annals of neurology.

[68]  Marcello Massimini,et al.  Recovery of cortical effective connectivity and recovery of consciousness in vegetative patients , 2012, Brain : a journal of neurology.