Spectral entropy indicates electrophysiological and hemodynamic changes in drug-resistant epilepsy – A multimodal MREG study

Aarabi, 2009, A fuzzy rule-based system for epileptic seizure detection in intracranial EEG, Clin. Neurophysiol., 120, 1648, 10.1016/j.clinph.2009.07.002 Adelson, 1999, Noninvasive continuous monitoring of cerebral oxygenation periictally using near-infrared spectroscopy: a preliminary report, Epilepsia., 40, 1484, 10.1111/j.1528-1157.1999.tb02030.x Allen, 1998, Identification of EEG events in the MR scanner: the problem of pulse artifact and a method for its subtraction, Neuroimage., 8, 229, 10.1006/nimg.1998.0361 Allen, 2000, A method for removing imaging artifact from continuous EEG recorded during functional MRI, Neuroimage., 12, 230, 10.1006/nimg.2000.0599 Ansakorpi, 2011, Evaluation of heart rate variation analysis during rest and tilting in patients with temporal lobe epilepsy, Neurol. Res. Int., 2011, 10.1155/2011/829365 Assländer, 2013, Single shot whole brain imaging using spherical stack of spirals trajectories, Neuroimage., 73, 59, 10.1016/j.neuroimage.2013.01.065 Bagshaw, 2004, EEG-fMRI of focal epileptic spikes: analysis with multiple haemodynamic functions and comparison with gadolinium-enhanced MR angiograms, Hum. Brain Mapp., 22, 179, 10.1002/hbm.20024 Bagshaw, 2017, Sleep onset uncovers thalamic abnormalities in patients with idiopathic generalised epilepsy, NeuroImage Clin., 16, 52, 10.1016/j.nicl.2017.07.008 Beckmann, 2004, Probabilistic independent component analysis for functional magnetic resonance imaging, IEEE Trans. Med. Imaging, 23, 137, 10.1109/TMI.2003.822821 Ben-Menachem, 2002, Vagus-nerve stimulation for the treatment of epilepsy, Lancet Neurol., 1, 477, 10.1016/S1474-4422(02)00220-X Berman, 2010, Simultaneous EEG, fMRI, and behavior in typical childhood absence seizures, Epilepsia., 51, 2011, 10.1111/j.1528-1167.2010.02652.x Bertram, 2008, Multiple roles of midline dorsal thalamic nuclei in induction and spread of limbic seizures, Epilepsia., 49, 256, 10.1111/j.1528-1167.2007.01408.x Biswal, 1995, Functional connectivity in the motor cortex of resting human brain using echo-planar mri, Magn. Reson. Med., 34, 537, 10.1002/mrm.1910340409 Boas, 2001, The accuracy of near infrared spectroscopy and imaging during focal changes in cerebral hemodynamics, Neuroimage., 13, 76, 10.1006/nimg.2000.0674 Boyacioglu, 2015, Improved sensitivity and specificity for resting state and task fMRI with multiband multi-echo EPI compared to multi-echo EPI at 7T, Neuroimage., 119, 352, 10.1016/j.neuroimage.2015.06.089 Bruzzo, 2008, Permutation entropy to detect vigilance changes and preictal states from scalp EEG in epileptic patients: A preliminary study, Neurol. Sci., 29, 3, 10.1007/s10072-008-0851-3 Buzsáki, 1992, High-frequency network oscillation in the hippocampus, Science., 256, 1025, 10.1126/science.1589772 Caspers, 1987, DC potentials of the cerebral cortex. Seizure activity and changes in gas pressures, Rev. Physiol. Biochem. Pharmacol., 106, 127, 10.1007/BFb0027576 Çavdar, 2008, The pathways connecting the hippocampal formation, the thalamic reuniens nucleus and the thalamic reticular nucleus in the rat, J. Anat., 212, 249, 10.1111/j.1469-7580.2008.00858.x Centeno, 2014, Network connectivity in epilepsy: Resting state fMRI and EEG-fMRI contributions, Front. Neurol., 10.3389/fneur.2014.00093 Chang, 2014, Anterior cingulate epilepsy: mechanisms and modulation, Front. Integr. Neurosci., 7, 10.3389/fnint.2013.00104 Chang, 2016, Brain-heart interactions: challenges and opportunities with functional magnetic resonance imaging at ultra-high field, Philos. Trans. R. Soc. A Math. Phys. Eng. Sci., 374 Chhabra, 2016, Spectral entropy monitoring for adults and children undergoing general anaesthesia, Cochrane Database Syst. Rev., 2016 Critchley, 2003, Human cingulate cortex and autonomic control: converging neuroimaging and clinical evidence, Brain., 126, 2139, 10.1093/brain/awg216 Danielson, 2011, The default mode network and altered consciousness in epilepsy, Behav. Neurol., 24, 55, 10.1155/2011/912720 Engel, 2009, High-frequency oscillations: what is normal and what is not?, Epilepsia., 50, 598, 10.1111/j.1528-1167.2008.01917.x Evans, 2010, Cortico-limbic circuitry and the airways: insights from functional neuroimaging of respiratory afferents and efferents, Biol. Psychol., 84, 13, 10.1016/j.biopsycho.2010.02.005 Faust, 2012, Nonlinear analysis of physiological signals: a review, J. Mech. Med. Biol., 12, 10.1142/S0219519412400155 Feis, 2015, ICA-based artifact removal diminishes scan site differences in multi-center resting-state fMRI, Front. Neurosci., 9, 10.3389/fnins.2015.00395 Fisher, 2014, How can we identify ictal and interictal abnormal activity?, Adv. Exp. Med. Biol., 3, 10.1007/978-94-017-8914-1_1 Fisher, 2014, ILAE official report: a practical clinical definition of epilepsy, Epilepsia., 55, 475, 10.1111/epi.12550 Goldberger, 2002, What is physiologic complexity and how does it change with aging and disease?, Neurobiol. Aging, 23, 23, 10.1016/S0197-4580(01)00266-4 Goldman, 2002, Simultaneous EEG and fMRI of the alpha rhythm, Neuroreport., 13, 2487, 10.1097/00001756-200212200-00022 Gotman, 2008, Epileptic networks studied with EEG-fMRI, Epilepsia., 49, 42, 10.1111/j.1528-1167.2008.01509.x Gotman, 2004, Combining EEG and fMRI in epilepsy: methodological challenges and clinical results, J. Clin. Neurophysiol., 21, 229, 10.1097/01.WNP.0000139658.92878.2A Gotman, 2006, Combining EEG and fMRI: a multimodal tool for epilepsy research, J. Magn. Reson. Imaging, 23, 906, 10.1002/jmri.20577 Greicius, 2008, Persistent default-mode network connectivity during light sedation, Hum. Brain Mapp., 29, 839, 10.1002/hbm.20537 Griffanti, 2014, ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging, Neuroimage., 95, 232, 10.1016/j.neuroimage.2014.03.034 Gupta, 2017, Wavelet entropy of BOLD time series: an application to rolandic epilepsy, J. Magn. Reson. Imaging, 46, 1728, 10.1002/jmri.25700 Guye, 2006, The role of corticothalamic coupling in human temporal lobe epilepsy, Brain., 129, 1917, 10.1093/brain/awl151 Hale, 2016, Altered thalamocortical and intra-thalamic functional connectivity during light sleep compared with wake, Neuroimage., 125, 657, 10.1016/j.neuroimage.2015.10.041 Hawco, 2007, BOLD changes occur prior to epileptic spikes seen on scalp EEG, Neuroimage., 35, 1450, 10.1016/j.neuroimage.2006.12.042 Hennig, 2007, MR-encephalography: fast multi-channel monitoring of brain physiology with magnetic resonance, Neuroimage., 34, 212, 10.1016/j.neuroimage.2006.08.036 Hiltunen, 2014, Infra-slow EEG fluctuations are correlated with resting-state network dynamics in fMRI, J. Neurosci., 34, 356, 10.1523/JNEUROSCI.0276-13.2014 Holmes, 2008, Dense array EEG: methodology and new hypothesis on epilepsy syndromes, Epilepsia., 49, 3, 10.1111/j.1528-1167.2008.01505.x Holmes, 1996, Nonparametric analysis of statistic images from functional mapping experiments, J. Cereb. Blood Flow Metab., 16, 7, 10.1097/00004647-199601000-00002 Huang-Hellinger, 1995, Simultaneous functional magnetic resonance imaging and electrophysiological recording, Hum. Brain Mapp., 3, 13, 10.1002/hbm.460030103 Hugger, 2011, Fast undersampled functional magnetic resonance imaging using nonlinear regularized parallel image reconstruction, PLoS One, 6 Huppert, 2009, HomER: a review of time-series analysis methods for near-infrared spectroscopy of the brain, Appl. Opt., 48, 10.1364/AO.48.00D280 Ikeda, 1999, Focal ictal direct current shifts in human epilepsy as studied by subdural and scalp recording, Brain., 122, 827, 10.1093/brain/122.5.827 Inouye, 1991, Quantification of EEG irregularity by use of the entropy of the power spectrum, Electroencephalogr. Clin. Neurophysiol., 79, 204, 10.1016/0013-4694(91)90138-T Ives, 1993, Monitoring the patient's EEG during echo planar MRI, Electroencephalogr. Clin. Neurophysiol., 87, 417, 10.1016/0013-4694(93)90156-P Jacobs, 2009, Hemodynamic changes preceding the interictal EEG spike in patients with focal epilepsy investigated using simultaneous EEG-fMRI, Neuroimage., 45, 1220, 10.1016/j.neuroimage.2009.01.014 Jacobs, 2014, Fast fMRI provides high statistical power in the analysis of epileptic networks, Neuroimage., 88, 282, 10.1016/j.neuroimage.2013.10.018 Jansen, 2010, Cardiac changes in epilepsy, Seizure., 19, 455, 10.1016/j.seizure.2010.07.008 Janszky, 2003, Epileptic activity influences the speech organization in medial temporal lobe epilepsy, Brain., 126, 2043, 10.1093/brain/awg193 Jenkinson, 2002, Improved optimization for the robust and accurate linear registration and motion correction of brain images, Neuroimage., 17, 825, 10.1006/nimg.2002.1132 Jenkinson, 2012, Fsl. Neuroimage., 62, 782, 10.1016/j.neuroimage.2011.09.015 Jeppesen, 2015, Exploring the capability of wireless near infrared spectroscopy as a portable seizure detection device for epilepsy patients, Seizure., 26, 43, 10.1016/j.seizure.2015.01.015 Jöbsis, 1977, Noninvasive, infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters, Science., 198, 1264, 10.1126/science.929199 John, 2001, A field theory of consciousness, Conscious. Cogn., 10, 184, 10.1006/ccog.2001.0508 Kananen, 2018, Altered physiological brain variation in drug-resistant epilepsy, Brain Behav., 8 Kim, 2002, Changes in brain complexity during valproate treatment in patients with partial epilepsy, Neuropsychobiology., 45, 106, 10.1159/000048685 Kiviniemi, 2016, Ultra-fast magnetic resonance encephalography of physiological brain activity-glymphatic pulsation mechanisms?, J. Cereb. Blood Flow Metab., 36, 1033, 10.1177/0271678X15622047 Klose, 2000, Detection of a relation between respiration and CSF pulsation with an echoplanar technique, J. Magn. Reson. Imaging, 11, 438, 10.1002/(SICI)1522-2586(200004)11:4<438::AID-JMRI12>3.0.CO;2-O Korhonen, 2014, Synchronous multiscale neuroimaging environment for critically sampled physiological analysis of brain function: Hepta-scan concept, Brain Connect., 4, 677, 10.1089/brain.2014.0258 Laufs, 2006, Linking generalized spike-and-wave discharges and resting state brain activity by using EEG/fMRI in a patient with absence seizures, Epilepsia., 47, 444, 10.1111/j.1528-1167.2006.00443.x Laufs, 2011, Converging PET and fMRI evidence for a common area involved in human focal epilepsies, Neurology., 77, 904, 10.1212/WNL.0b013e31822c90f2 Lazar, 2000, Interhemispheric transfer of language in patients with left frontal cerebral arteriovenous malformation, Neuropsychologia., 38, 1325, 10.1016/S0028-3932(00)00054-3 Lee, 2013, Tracking dynamic resting-state networks at higher frequencies using MR-encephalography, Neuroimage., 65, 216, 10.1016/j.neuroimage.2012.10.015 Li, 2014, Using permutation entropy to measure the changes in EEG signals during absence seizures, Entropy., 16, 3049, 10.3390/e16063049 Li, 2014, Involvement of thalamus in initiation of epileptic seizures induced by pilocarpine in mice, Neural Plast., 2014 Liu, 2017, Impairment of heart rhythm complexity in patients with drug-resistant epilepsy: an assessment with multiscale entropy analysis, Epilepsy Res., 138, 11, 10.1016/j.eplepsyres.2017.10.002 Liu, 2018, Subcortical evidence for a contribution of arousal to fMRI studies of brain activity, Nat. Commun., 9 Llinás, 1998, The neuronal basis for consciousness, Philos. Trans. R. Soc. B Biol. Sci., 353, 1841, 10.1098/rstb.1998.0336 Löscher, 1996, The role of the piriform cortex in kindling, Prog. Neurobiol., 50, 427, 10.1016/S0301-0082(96)00036-6 Lotufo, 2012, Epilepsia., 53, 272, 10.1111/j.1528-1167.2011.03361.x Mäkiranta, 2005, BOLD signal increase preceeds EEG spike activity - a dynamic penicillin induced focal epilepsy in deep anesthesia, Neuroimage., 27, 715, 10.1016/j.neuroimage.2005.05.025 Manni, 2000, Evaluation of sleepiness in epilepsy, Clin. Neurophysiol., 111, S111, 10.1016/S1388-2457(00)00410-7 McCormick, 1991, Noninvasive cerebral optical spectroscopy for monitoring cerebral oxygen delivery and hemodynamics, Crit. Care Med., 19, 89, 10.1097/00003246-199101000-00020 McDonough, 2014, Network complexity as a measure of information processing across resting-state networks: evidence from the human connectome project, Front. Hum. Neurosci., 8, 10.3389/fnhum.2014.00409 Mehagnoul-Schipper, 2002, Simultaneous measurements of cerebral oxygenation changes during brain activation by near-infrared spectroscopy and functional magnetic resonance imaging in healthy young and elderly subjects, Hum. Brain Mapp., 16, 14, 10.1002/hbm.10026 Mirzaei, 2010, EEG analysis based on wavelet-spectral entropy for epileptic seizures detection. Proc. - Int. Conf. Biomed. Eng. Inf, BMEI., 2, 878 Moosmann, 2003, Correlates of alpha rhythm in functional magnetic resonance imaging and near infrared spectroscopy, Neuroimage., 20, 145, 10.1016/S1053-8119(03)00344-6 Mukherjee, 2009, Cardiovascular autonomic functions in well-controlled and intractable partial epilepsies, Epilepsy Res., 85, 261, 10.1016/j.eplepsyres.2009.03.021 Myllylä, 2011, Fibre optic sensor for non-invasive monitoring of blood pressure during MRI scanning, J. Biophotonics, 4, 98, 10.1002/jbio.200900105 Myllylä, 2014, Measurement of cerebral blood flow and metabolism using high power light-emitting diodes, Meas. J. Int. Meas. Confed., 58, 387, 10.1016/j.measurement.2014.08.027 Myllylä, 2017, Multimodal brain imaging with magnetoencephalography: a method for measuring blood pressure and cardiorespiratory oscillations, Sci. Rep., 7, 10.1038/s41598-017-00293-7 Navratilova, 2014, Reward and motivation in pain and pain relief, Nat. Neurosci., 17, 1304, 10.1038/nn.3811 Nguyen, 2013, Noninvasive continuous functional near-infrared spectroscopy combined with electroencephalography recording of frontal lobe seizures, Epilepsia., 54, 331, 10.1111/epi.12011 Nita, 2004, Nonneuronal origin of CO2-related DC EEG shifts: An in vivo study in the cat, J. Neurophysiol., 92, 1011, 10.1152/jn.00110.2004 Obrig, 2014, NIRS in clinical neurology - a 'promising' tool?, Neuroimage., 85, 535, 10.1016/j.neuroimage.2013.03.045 O'leary, 1964, D-C potentials of the brain, Physiol. Rev., 44, 91, 10.1152/physrev.1964.44.1.91 Oliveira, 2000, Respiratory disorders during sleep in patient with epilepsy: effect of ventilatory therapy on EEG interictal epileptiform discharges, Clin. Neurophysiol., 111, S141, 10.1016/S1388-2457(00)00415-6 O'Regan, 2005, Abnormalities in cardiac and respiratory function observed during seizures in childhood, Dev. Med. Child Neurol., 47, 4, 10.1111/j.1469-8749.2005.tb01033.x Osharina, 2010, Local haemodynamic changes preceding interictal spikes: a simultaneous electrocorticography (ECoG) and near-infrared spectroscopy (NIRS) analysis in rats, Neuroimage., 50, 600, 10.1016/j.neuroimage.2010.01.009 Osharina, 2017, Hemodynamic changes associated with interictal spikes induced by acute models of focal epilepsy in rats: a simultaneous electrocorticography and near-infrared spectroscopy study, Brain Topogr., 30, 390, 10.1007/s10548-016-0541-z Paulesu, 1997, Functional heterogeneity of left inferior frontal cortex as revealed by fMRI, Neuroreport., 8, 2011, 10.1097/00001756-199705260-00042 Peng, 2014, FNIRS-EEG study of focal interictal epileptiform discharges, Epilepsy Res., 108, 491, 10.1016/j.eplepsyres.2013.12.011 Poirel, 1987, Circadian patterns of vigilance and seizure susceptibility in genetically epileptic mice: heuristic aspects in neurology, Prog. Clin. Biol. Res., 227, 459 Posse, 2012, Enhancement of temporal resolution and BOLD sensitivity in real-time fMRI using multi-slab echo-volumar imaging, Neuroimage., 61, 115, 10.1016/j.neuroimage.2012.02.059 Pouliot, 2012, Nonlinear hemodynamic responses in human epilepsy: a multimodal analysis with fNIRS-EEG and fMRI-EEG, J. Neurosci. Methods, 204, 326, 10.1016/j.jneumeth.2011.11.016 Pruim, 2015, Evaluation of ICA-AROMA and alternative strategies for motion artifact removal in resting state fMRI, Neuroimage., 112, 278, 10.1016/j.neuroimage.2015.02.063 Quinquis, 2008 Ryan, 1994, Gender- and age-related differences in heart rate dynamics: are women more complex than men?, J. Am. Coll. Cardiol., 24, 1700, 10.1016/0735-1097(94)90177-5 Salimi-Khorshidi, 2014, Automatic denoising of functional MRI data: combining independent component analysis and hierarchical fusion of classifiers, Neuroimage., 90, 449, 10.1016/j.neuroimage.2013.11.046 Schaller, 2004, Physiology of cerebral venous blood flow: From experimental data in animals to normal function in humans, Brain Res. Rev., 46, 243, 10.1016/j.brainresrev.2004.04.005 Schwartzkroin, 1997, Origins of the epileptic state, Epilepsia., 38, 853, 10.1111/j.1528-1157.1997.tb01250.x Semendeferi, 2001, Prefrontal cortex in humans and apes: a comparative study of area 10, Am. J. Phys. Anthropol., 114, 224, 10.1002/1096-8644(200103)114:3<224::AID-AJPA1022>3.0.CO;2-I Sevcencu, 2010, Autonomic alterations and cardiac changes in epilepsy, Epilepsia., 51, 725, 10.1111/j.1528-1167.2009.02479.x Shannon, 1948, The mathematical theory of communication, Bell System Techn. J., 27, 623, 10.1002/j.1538-7305.1948.tb00917.x Shi, 2013, Differential entropy feature for EEG-based vigilance estimation, Proc. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. EMBS, 6627 Smith, 2002, Fast robust automated brain extraction, Hum. Brain Mapp., 17, 143, 10.1002/hbm.10062 Smith, 2009, Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference, Neuroimage., 44, 83, 10.1016/j.neuroimage.2008.03.061 Smith, 2014, Multiple time scale complexity analysis of resting state FMRI, Brain Imaging Behav., 8, 284, 10.1007/s11682-013-9276-6 Sokunbi, 2015, Fuzzy approximate entropy analysis of resting state fMRI signal complexity across the adult life span, Med. Eng. Phys., 37, 1082, 10.1016/j.medengphy.2015.09.001 Song, 2012, Automatic epileptic seizure detection in EEGs based on optimized sample entropy and extreme learning machine, J. Neurosci. Methods, 210, 132, 10.1016/j.jneumeth.2012.07.003 Sortica da Costa, 2017, Complexity of brain signals is associated with outcome in preterm infants, J. Cereb. Blood Flow Metab., 37, 3368, 10.1177/0271678X16687314 Sorvoja, 2010, Non-invasive, MRI-compatible fibreoptic device for functional near-IR reflectometry of human brain, Quantum Electron., 40, 1067 Spencer, 2002, Neural networks in human epilepsy: evidence of and implications for treatment, Epilepsia., 43, 219, 10.1046/j.1528-1157.2002.26901.x Srinivasan, 2007, Approximate entropy-based epileptic EEG detection using artificial neural networks, IEEE Trans. Inf. Technol. Biomed., 11, 288, 10.1109/TITB.2006.884369 Steriade, 2005, Sleep, epilepsy and thalamic reticular inhibitory neurons, Trends Neurosci., 28, 317, 10.1016/j.tins.2005.03.007 Strangman, 2003, Factors affecting the accuracy of near-infrared spectroscopy concentration calculations for focal changes in oxygenation parameters, Neuroimage., 18, 865, 10.1016/S1053-8119(03)00021-1 Tavares, 2017 Tomson, 1998, Heart rate variability in patients with epilepsy, Epilepsy Res., 30, 77, 10.1016/S0920-1211(97)00094-6 Urigüen, 2017, Comparison of background EEG activity of different groups of patients with idiopathic epilepsy using shannon spectral entropy and cluster-based permutation statistical testing, PLoS ONE, 12 Vakkuri, 2005, Spectral entropy monitoring is associated with reduced propofol use and faster emergence in propofol-nitrous oxide-alfentanil anesthesia, Anesthesiology., 103, 274, 10.1097/00000542-200508000-00010 Vanhatalo, 2003, Very slow eeg responses lateralize temporal lobe seizures: an evaluation of non-invasive DC-EEG, Neurology., 60, 1098, 10.1212/01.WNL.0000052993.37621.CC Vanhatalo, 2003, Scalp-recorded slow EEG responses generated in response to hemodynamic changes in the human brain, Clin. Neurophysiol., 114, 1744, 10.1016/S1388-2457(03)00163-9 Viertiö-Oja, 2004, Description of the entropy™ algorithm as applied in the datex-ohmeda 5/5™ entropy module, Acta Anaesthesiol. Scand., 48, 154, 10.1111/j.0001-5172.2004.00322.x Wang, 2015, Dimensionality of ICA in resting-state fMRI investigated by feature optimized classification of independent components with SVM, Front. Hum. Neurosci., 9 Watanabe, 2000, Noninvasive cerebral blood volume measurement during seizures using multichannel near infrared spectroscopic topography, J. Biomed. Opt., 5, 287, 10.1117/1.429998 Watanabe, 2002, Focus diagnosis of epilepsy using near-infrared spectroscopy, Epilepsia., 43, 50, 10.1046/j.1528-1157.43.s.9.12.x Whelan, 2018, Structural brain abnormalities in the common epilepsies assessed in a worldwide ENIGMA study, Brain., 141, 391, 10.1093/brain/awx341 Wheless, 2018, Vagus nerve stimulation (VNS) therapy update, Epilepsy Behav., 88, 2, 10.1016/j.yebeh.2018.06.032 Winkler, 2014, Permutation inference for the general linear model, Neuroimage., 92, 381, 10.1016/j.neuroimage.2014.01.060 Wong, 2013, The amplitude of the resting-state fMRI global signal is related to EEG vigilance measures, Neuroimage., 83, 983, 10.1016/j.neuroimage.2013.07.057 Wong, 2016, Differences in the resting-state fMRI global signal amplitude between the eyes open and eyes closed states are related to changes in EEG vigilance, Neuroimage., 124, 24, 10.1016/j.neuroimage.2015.08.053 Woodward, 2008, Right anterior cingulate cortical volume covaries with respiratory sinus arrhythmia magnitude in combat veterans, J. Rehabil. Res. Dev., 45, 451, 10.1682/JRRD.2007.06.0082 Yamada, 2013, Influence of respiration on cerebrospinal fluid movement using magnetic resonance spin labeling, Fluids Barriers CNS., 10, 10.1186/2045-8118-10-36 Yang, 2007, Inhibiting effect of vagal nerve stimulation to seizures in epileptic process of rats, Neurosci. Bull., 23, 336, 10.1007/s12264-007-0050-x Zahneisen, 2012, Single shot concentric shells trajectories for ultra fast fMRI, Magn. Reson. Med., 68, 484, 10.1002/mrm.23256 Zerbi, 2015, Mapping the mouse brain with rs-fMRI: an optimized pipeline for functional network identification, Neuroimage., 123, 11, 10.1016/j.neuroimage.2015.07.090 Zhang, 2014, Pre-seizure state identified by diffuse optical tomography, Sci. Rep., 4