Interictal cardiorespiratory variability in temporal lobe and absence epilepsy in childhood

It is well known that epilepsy has a profound effect on the autonomic nervous system, especially on the autonomic control of heart rate and respiration. This effect has been widely studied during seizure activity, but less attention has been given to interictal (i.e. seizure-free) activity. The studies that have been done on the latter, showed that heart rate and respiration can be affected individually, even without the occurrence of seizures. In this work, the interactions between these two individual physiological mechanisms are analysed during interictal activity in temporal lobe and absence epilepsy in childhood. These interactions are assessed by means of an entropy decomposition that allows to split the information carried by the heart rate, into two main components, one related to respiration and another related to different mechanisms. It is shown that in absence epilepsy the information shared by respiration and heart rate is significantly lower than for normal subjects.

[1]  A. Seth,et al.  Granger causality and transfer entropy are equivalent for Gaussian variables. , 2009, Physical review letters.

[2]  Sabine Van Huffel,et al.  Investigating cardiac and respiratory determinants of heart rate variability in an information-theoretic framework , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[3]  George B. Moody,et al.  Derivation of Respiratory Signals from Multi-lead ECGs , 2008 .

[4]  H. Blumenfeld.  Consciousness and epilepsy: why are patients with absence seizures absent? , 2005, Progress in brain research.

[5]  Juan Ramos-Castro,et al.  Differences in QRS Locations due to ECG Lead: Relationship with Breathing , 2014 .

[6]  Stephen D. Mayhew,et al.  Determination of the human brainstem respiratory control network and its cortical connections in vivo using functional and structural imaging , 2009, NeuroImage.

[7]  Joseph T. Lizier,et al.  Directed Information Measures in Neuroscience , 2014 .

[8]  Luca Faes,et al.  Conditional Entropy-Based Evaluation of Information Dynamics in Physiological Systems , 2014 .

[9]  Albert Y. Zomaya,et al.  Local measures of information storage in complex distributed computation , 2012, Inf. Sci..

[10]  Luca Faes,et al.  Information decomposition of short-term cardiovascular and cardiorespiratory variability , 2013, Computing in Cardiology 2013.

[11]  C. Elger,et al.  Epileptic Seizures and Epilepsy: Definitions Proposed by the International League Against Epilepsy (ILAE) and the International Bureau for Epilepsy (IBE) , 2005, Epilepsia.

[12]  A. Malliani,et al.  Heart rate variability. Standards of measurement, physiological interpretation, and clinical use , 1996 .

[13]  H. Blumenfeld,et al.  Consciousness and epilepsy: why are complex-partial seizures complex? , 2009, Progress in brain research.

[14]  J. Louvel,et al.  Thalamocortical relationships and network synchronization in a new genetic model “in mirror” for absence epilepsy , 2013, Brain Research.

[15]  Philip Langley,et al.  Principal Component Analysis as a Tool for Analyzing Beat-to-Beat Changes in ECG Features: Application to ECG-Derived Respiration , 2010, IEEE Transactions on Biomedical Engineering.

[16]  Orrin Devinsky,et al.  Effects of Seizures on Autonomic and Cardiovascular Function , 2004, Epilepsy currents.

[17]  S. Van Huffel,et al.  Cardiorespiratory analysis on children suffering from absence and complex partial seizures , 2012, 2012 Computing in Cardiology.

[18]  L. D. Blumhardt,et al.  ELECTROCARDIOGRAPHIC ACCOMPANIMENTS OF TEMPORAL LOBE EPILEPTIC SEIZURES , 1986, The Lancet.

[19]  G. Billman,et al.  Time-series analysis of heart rate variability during submaximal exercise. Evidence for reduced cardiac vagal tone in animals susceptible to ventricular fibrillation. , 1989, Circulation.

[20]  Sabine Van Huffel,et al.  Application of Kernel Principal Component Analysis for Single-Lead-ECG-Derived Respiration , 2012, IEEE Transactions on Biomedical Engineering.

[21]  J. H. Cross,et al.  Revised terminology and concepts for organization of seizures and epilepsies: Report of the ILAE Commission on Classification and Terminology, 2005–2009 , 2010, Epilepsia.

[22]  Cheryl C. H. Yang,et al.  Heart rate variability in children with refractory generalized epilepsy , 2008, Seizure.

[23]  L. Faes,et al.  Information dynamics of brain–heart physiological networks during sleep , 2014, New Journal of Physics.

[24]  Sabine Van Huffel,et al.  Ictal and interictal respiratory changes in temporal lobe and absence epilepsy in childhood , 2013, Epilepsy Research.

[25]  W. Hauser,et al.  Comment on Epileptic Seizures and Epilepsy: Definitions Proposed by the International League Against Epilepsy (ILAE) and the International Bureau for Epilepsy (IBE) , 2005, Epilepsia.

[26]  Schreiber,et al.  Measuring information transfer , 2000, Physical review letters.

[27]  M. O'Regan,et al.  Abnormalities in cardiac and respiratory function observed during seizures in childhood. , 2005 .

[28]  T. Loddenkemper,et al.  Cardiopulmonary complications during pediatric seizures: A prelude to understanding SUDEP , 2013, Epilepsia.

[29]  Masud Seyal,et al.  Respiratory changes with seizures in localization‐related epilepsy: Analysis of periictal hypercapnia and airflow patterns , 2010, Epilepsia.

[30]  G. Moody,et al.  Clinical Validation of the ECG-Derived Respiration (EDR) Technique , 2008 .