| 參考文獻 |
[1] T. G. Buchman, “The community of the self,” Nature, vol. 420, no. 6912, pp. 246–251, Nov. 2002.
[2] A. L. Goldberger, L. A. N. Amaral, J. M. Hausdorff, P. C. Ivanov, C.-K. Peng, and H. E. Stanley, “Fractal dynamics in physiology: Alterations with disease and aging,” Proc. Natl. Acad. Sci., vol. 99, no. suppl 1, pp. 2466–2472, Feb. 2002.
[3] K. Hu, E. J. W. V. Someren, S. A. Shea, and F. A. J. L. Scheer, “Reduction of scale invariance of activity fluctuations with aging and Alzheimer’s disease: Involvement of the circadian PACemaker,” Proc. Natl. Acad. Sci., vol. 106, no. 8, pp. 2490–2494, Feb. 2009.
[4] K. Hu, D. G. Harper, S. A. Shea, E. G. Stopa, and F. A. J. L. Scheer, “Noninvasive fractal biomarker of clock neurotransmitter disturbance in humans with dementia,” Sci. Rep., vol. 3, p. 2229, Jul. 2013.
[5] L.-Y. Lin, M.-T. Lo, P. C.-I. Ko, C. Lin, W.-C. Chiang, Y.-B. Liu, K. Hu, J.-L. Lin, W.-J. Chen, and M. H.-M. Ma, “Detrended fluctuation analysis predicts successful defibrillation for out-of-hospital ventricular fibrillation cardiac arrest,” Resuscitation, vol. 81, no. 3, pp. 297–301, 2010.
[6] C. Gu, C. P. Coomans, K. Hu, F. A. J. L. Scheer, H. E. Stanley, and J. H. Meijer, “Lack of exercise leads to significant and reversible loss of scale invariance in both aged and young mice,” Proc. Natl. Acad. Sci., vol. 112, no. 8, pp. 2320–2324, Feb. 2015.
[7] M.-T. Lo, Y.-C. Chang, C. Lin, H.-W. V. Young, Y.-H. Lin, Y.-L. Ho, C.-K. Peng, and K. Hu, “Outlier-resilient complexity analysis of heartbeat dynamics,” Sci. Rep., vol. 5, p. 8836, Mar. 2015.
[8] J.-R. Yeh, C.-K. Peng, M.-T. Lo, C.-H. Yeh, S.-C. Chen, C.-Y. Wang, P.-L. Lee, and J.-H. Kang, “Investigating the interaction between heart rate variability and sleep EEG using nonlinear algorithms,” J. Neurosci. Methods, vol. 219, no. 2, pp. 233–239, Oct. 2013.
[9] P. L. Nunez and R. Srinivasan, Electric Fields of the Brain: The Neurophysics of EEG. Oxford University Press, 2006.
[10] C. T. Dickson, J. Magistretti, M. H. Shalinsky, E. Fransén, M. E. Hasselmo, and A. Alonso, “Properties and Role of I h in the PACing of Subthreshold Oscillations in Entorhinal Cortex Layer II Neurons,” J. Neurophysiol., vol. 83, no. 5, pp. 2562–2579, May 2000.
[11] S. Raghavachari, J. E. Lisman, M. Tully, J. R. Madsen, E. B. Bromfield, and M. J. Kahana, “Theta Oscillations in Human Cortex During a Working-Memory Task: Evidence for Local Generators,” J. Neurophysiol., vol. 95, no. 3, pp. 1630–1638, Mar. 2006.
[12] R. T. Canolty, M. Soltani, S. S. Dalal, E. Edwards, N. F. Dronkers, S. S. Nagarajan, H. E. Kirsch, N. M. Barbaro, and R. T. Knight, “Spatiotemporal Dynamics of Word Processing in the Human Brain,” Front. Neurosci., vol. 1, no. 1, pp. 185–196, Oct. 2007.
[13] A. von Stein and J. Sarnthein, “Different frequencies for different scales of cortical integration: from local gamma to long range alpha/theta synchronization,” Int. J. Psychophysiol., vol. 38, no. 3, pp. 301–313, Dec. 2000.
[14] D. R. Euston, M. Tatsuno, and B. L. McNaughton, “Fast-forward playback of recent memory sequences in prefrontal cortex during sleep,” Science, vol. 318, no. 5853, pp. 1147–1150, Nov. 2007.
[15] L. A. Johnson, D. R. Euston, M. Tatsuno, and B. L. McNaughton, “Stored-Trace Reactivation in Rat Prefrontal Cortex Is Correlated with Down-to-Up State Fluctuation Density,” J. Neurosci., vol. 30, no. 7, pp. 2650–2661, Feb. 2010.
[16] Z. Nádasdy, H. Hirase, A. Czurkó, J. Csicsvari, and G. Buzsáki, “Replay and Time Compression of Recurring Spike Sequences in the Hippocampus,” J. Neurosci., vol. 19, no. 21, pp. 9497–9507, Nov. 1999.
[17] K. S, “LETTER TO THE EDITOR: THE KULLBACK-LEIBLER DISTANCE,” vol. 41, no. 4, pp. 340–341, Jan. 1987.
[18] K. P. Burnham and D. R. Anderson, “Kullback-Leibler information as a basis for strong inference in ecological studies,” Wildl. Res., vol. 28, no. 2, pp. 111–119, Jan. 2001.
[19] T. Schreiber, “Measuring Information Transfer,” Phys. Rev. Lett., vol. 85, no. 2, pp. 461–464, Jul. 2000.
[20] N. F. Rulkov, M. M. Sushchik, L. S. Tsimring, and H. D. I. Abarbanel, “Generalized synchronization of chaos in directionally coupled chaotic systems,” Phys. Rev. E, vol. 51, no. 2, pp. 980–994, Feb. 1995.
[21] P. Tass, M. G. Rosenblum, J. Weule, J. Kurths, A. Pikovsky, J. Volkmann, A. Schnitzler, and H.-J. Freund, “Detection of $mathit{n}:mathit{m}$ Phase Locking from Noisy Data: Application to Magnetoencephalography,” Phys. Rev. Lett., vol. 81, no. 15, pp. 3291–3294, Oct. 1998.
[22] R. Bartsch, J. W. Kantelhardt, T. Penzel, and S. Havlin, “Experimental Evidence for Phase Synchronization Transitions in the Human Cardiorespiratory System,” Phys. Rev. Lett., vol. 98, no. 5, p. 054102, Feb. 2007.
[23] K. J. Blinowska and J. Zygierewicz, Practical Biomedical Signal Analysis Using MATLAB®. CRC Press, 2011.
[24] R. T. Canolty and R. T. Knight, “The functional role of cross-frequency coupling,” Trends Cogn. Sci., vol. 14, no. 11, pp. 506–515, Nov. 2010.
[25] A. Schnitzler and J. Gross, “Normal and pathological oscillatory communication in the brain,” Nat. Rev. Neurosci., vol. 6, no. 4, pp. 285–296, Apr. 2005.
[26] R. T. Canolty, E. Edwards, S. S. Dalal, M. Soltani, S. S. Nagarajan, H. E. Kirsch, M. S. Berger, N. M. Barbaro, and R. T. Knight, “High gamma power is phase-locked to theta oscillations in human neocortex,” Science, vol. 313, no. 5793, pp. 1626–1628, Sep. 2006.
[27] N. Axmacher, M. M. Henseler, O. Jensen, I. Weinreich, C. E. Elger, and J. Fell, “Cross-frequency coupling supports multi-item working memory in the human hippocampus,” Proc. Natl. Acad. Sci. U. S. A., vol. 107, no. 7, pp. 3228–3233, Feb. 2010.
[28] C. Scheffzük, V. I. Kukushka, A. L. Vyssotski, A. Draguhn, A. B. L. Tort, and J. Brankačk, “Selective coupling between theta phase and neocortical fast gamma oscillations during REM-sleep in mice,” PloS One, vol. 6, no. 12, p. e28489, 2011.
[29] S. M. Szczepanski, N. E. Crone, R. A. Kuperman, K. I. Auguste, J. Parvizi, and R. T. Knight, “Dynamic changes in phase-amplitude coupling facilitate spatial attention control in fronto-parietal cortex,” PLoS Biol., vol. 12, no. 8, p. e1001936, Aug. 2014.
[30] F. Gans, A. Y. Schumann, J. W. Kantelhardt, T. Penzel, and I. Fietze, “Cross-modulated amplitudes and frequencies characterize interacting components in complex systems,” Phys. Rev. Lett., vol. 102, no. 9, p. 098701, Mar. 2009.
[31] C. E. Schroeder and P. Lakatos, “Low-frequency neuronal oscillations as instruments of sensory selection,” Trends Neurosci., vol. 32, no. 1, pp. 9–18, Jan. 2009.
[32] A. Bragin, G. Jando, Z. Nadasdy, J. Hetke, K. Wise, and G. Buzsaki, “Gamma (40-100 Hz) oscillation in the hippocampus of the behaving rat,” J. Neurosci., vol. 15, no. 1, pp. 47–60, Jan. 1995.
[33] G. Buzsáki, D. L. Buhl, K. D. Harris, J. Csicsvari, B. Czéh, and A. Morozov, “Hippocampal network patterns of activity in the mouse,” Neuroscience, vol. 116, no. 1, pp. 201–211, Jan. 2003.
[34] H. Hentschke, M. G. Perkins, R. A. Pearce, and M. I. Banks, “Muscarinic blockade weakens interaction of gamma with theta rhythms in mouse hippocampus,” Eur. J. Neurosci., vol. 26, no. 6, pp. 1642–1656, Sep. 2007.
[35] A. B. L. Tort, M. A. Kramer, C. Thorn, D. J. Gibson, Y. Kubota, A. M. Graybiel, and N. J. Kopell, “Dynamic cross-frequency couplings of local field potential oscillations in rat striatum and hippocampus during performance of a T-maze task,” Proc. Natl. Acad. Sci., vol. 105, no. 51, pp. 20517–20522, Dec. 2008.
[36] P. Wulff, A. A. Ponomarenko, M. Bartos, T. M. Korotkova, E. C. Fuchs, F. Bähner, M. Both, A. B. L. Tort, N. J. Kopell, W. Wisden, and H. Monyer, “Hippocampal theta rhythm and its coupling with gamma oscillations require fast inhibition onto parvalbumin-positive interneurons,” Proc. Natl. Acad. Sci., vol. 106, no. 9, pp. 3561–3566, Mar. 2009.
[37] A. B. L. Tort, R. W. Komorowski, J. R. Manns, N. J. Kopell, and H. Eichenbaum, “Theta–gamma coupling increases during the learning of item–context associations,” Proc. Natl. Acad. Sci., vol. 106, no. 49, pp. 20942–20947, Dec. 2009.
[38] P. Lakatos, A. S. Shah, K. H. Knuth, I. Ulbert, G. Karmos, and C. E. Schroeder, “An Oscillatory Hierarchy Controlling Neuronal Excitability and Stimulus Processing in the Auditory Cortex,” J. Neurophysiol., vol. 94, no. 3, pp. 1904–1911, Sep. 2005.
[39] A. Bruns and R. Eckhorn, “Task-related coupling from high- to low-frequency signals among visual cortical areas in human subdural recordings,” Int. J. Psychophysiol., vol. 51, no. 2, pp. 97–116, Jan. 2004.
[40] S. Vanhatalo, J. M. Palva, M. D. Holmes, J. W. Miller, J. Voipio, and K. Kaila, “Infraslow oscillations modulate excitability and interictal epileptic activity in the human cortex during sleep,” Proc. Natl. Acad. Sci. U. S. A., vol. 101, no. 14, pp. 5053–5057, Apr. 2004.
[41] F. Mormann, J. Fell, N. Axmacher, B. Weber, K. Lehnertz, C. E. Elger, and G. Fernández, “Phase/amplitude reset and theta–gamma interaction in the human medial temporal lobe during a continuous word rECoGnition memory task,” Hippocampus, vol. 15, no. 7, pp. 890–900, Jan. 2005.
[42] T. Demiralp, Z. Bayraktaroglu, D. Lenz, S. Junge, N. A. Busch, B. Maess, M. Ergen, and C. S. Herrmann, “Gamma amplitudes are coupled to theta phase in human EEG during visual perception,” Int. J. Psychophysiol., vol. 64, no. 1, pp. 24–30, Apr. 2007.
[43] D. Osipova, D. Hermes, and O. Jensen, “Gamma Power Is Phase-Locked to Posterior Alpha Activity,” PLOS ONE, vol. 3, no. 12, p. e3990, Dec. 2008.
[44] S. Monto, S. Palva, J. Voipio, and J. M. Palva, “Very Slow EEG Fluctuations Predict the Dynamics of Stimulus Detection and Oscillation Amplitudes in Humans,” J. Neurosci., vol. 28, no. 33, pp. 8268–8272, Aug. 2008.
[45] W. D. Penny, E. Duzel, K. J. Miller, and J. G. Ojemann, “Testing for nested oscillation,” J. Neurosci. Methods, vol. 174, no. 1, pp. 50–61, Sep. 2008.
[46] M. X. Cohen, C. E. Elger, and J. Fell, “Oscillatory Activity and Phase–Amplitude Coupling in the Human Medial Frontal Cortex during Decision Making,” J. Cogn. Neurosci., vol. 21, no. 2, pp. 390–402, May 2008.
[47] B. Händel and T. Haarmeier, “Cross-frequency coupling of brain oscillations indicates the success in visual motion discrimination,” NeuroImage, vol. 45, no. 3, pp. 1040–1046, Apr. 2009.
[48] B. J. He, J. M. Zempel, A. Z. Snyder, and M. E. Raichle, “The temporal structures and functional significance of scale-free brain activity,” Neuron, vol. 66, no. 3, pp. 353–369, May 2010.
[49] S. Sadaghiani, R. Scheeringa, K. Lehongre, B. Morillon, A.-L. Giraud, and A. Kleinschmidt, “Intrinsic Connectivity Networks, Alpha Oscillations, and Tonic Alertness: A Simultaneous Electroencephalography/Functional Magnetic Resonance Imaging Study,” J. Neurosci., vol. 30, no. 30, pp. 10243–10250, Jul. 2010.
[50] B. Voytek, R. T. Canolty, A. Shestyuk, N. E. Crone, J. Parvizi, and R. T. Knight, “Shifts in Gamma Phase–Amplitude Coupling Frequency from Theta to Alpha Over Posterior Cortex During Visual Tasks,” Front. Hum. Neurosci., vol. 4, Oct. 2010.
[51] A. B. L. Tort, R. Komorowski, H. Eichenbaum, and N. Kopell, “Measuring Phase-Amplitude Coupling Between Neuronal Oscillations of Different Frequencies,” J. Neurophysiol., vol. 104, no. 2, pp. 1195–1210, Aug. 2010.
[52] G. G. Knyazev, “Cross-frequency coupling of brain oscillations: An imPACt of state anxiety,” Int. J. Psychophysiol., vol. 80, no. 3, pp. 236–245, Jun. 2011.
[53] M. Siegel, M. R. Warden, and E. K. Miller, “Phase-dependent neuronal coding of objects in short-term memory,” Proc. Natl. Acad. Sci. U. S. A., vol. 106, no. 50, pp. 21341–21346, Dec. 2009.
[54] K. J. Friston, C. Buechel, G. R. Fink, J. Morris, E. Rolls, and R. J. Dolan, “Psychophysiological and Modulatory Interactions in Neuroimaging,” NeuroImage, vol. 6, no. 3, pp. 218–229, Oct. 1997.
[55] P. R. Shirvalkar, P. R. Rapp, and M. L. Shapiro, “Bidirectional changes to hippocampal theta-gamma comodulation predict memory for recent spatial episodes,” Proc. Natl. Acad. Sci. U. S. A., vol. 107, no. 15, pp. 7054–7059, Apr. 2010.
[56] H. E. Stanley, S. V. Buldyrev, A. L. Goldberger, J. M. Hausdorff, S. Havlin, J. Mietus, C.-K. Peng, F. Sciortino, and M. Simons, “Fractal landscapes in biological systems: Long-range correlations in DNA and interbeat heart intervals,” Phys. Stat. Mech. Its Appl., vol. 191, no. 1–4, pp. 1–12, Dec. 1992.
[57] C.-K. Peng, S. Havlin, J. M. Hausdorff, J. E. Mietus, H. E. Stanley, and A. L. Goldberger, “Fractal mechanisms and heart rate dynamics: Long-range correlations and their breakdown with disease,” J. Electrocardiol., vol. 28, Supplement 1, pp. 59–65, 1995.
[58] A. L. Goldberger, “Non-linear dynamics for clinicians: chaos theory, fractals, and complexity at the bedside,” The Lancet, vol. 347, no. 9011, pp. 1312–1314, May 1996.
[59] J. M. Hausdorff, A. Lertratanakul, M. E. Cudkowicz, A. L. Peterson, D. Kaliton, and A. L. Goldberger, “Dynamic markers of altered gait rhythm in amyotrophic lateral sclerosis,” J. Appl. Physiol. Bethesda Md 1985, vol. 88, no. 6, pp. 2045–2053, Jun. 2000.
[60] C.-K. Peng, J. E. Mietus, Y. Liu, C. Lee, J. M. Hausdorff, H. E. Stanley, A. L. Goldberger, and L. A. Lipsitz, “Quantifying Fractal Dynamics of Human Respiration: Age and Gender Effects,” Ann. Biomed. Eng., vol. 30, no. 5, pp. 683–692, May 2002.
[61] K. Hu, P. C. Ivanov, Z. Chen, M. F. Hilton, H. E. Stanley, and S. A. Shea, “Non-random fluctuations and multi-scale dynamics regulation of human activity,” Phys. Stat. Mech. Its Appl., vol. 337, no. 1–2, pp. 307–318, Jun. 2004.
[62] W.-H. Hsieh, C. Escobar, T. Yugay, M.-T. Lo, B. Pittman-Polletta, R. Salgado-Delgado, F. A. J. L. Scheer, S. A. Shea, R. M. Buijs, and K. Hu, “Simulated shift work in rats perturbs multiscale regulation of locomotor activity,” J. R. Soc. Interface, vol. 11, no. 96, p. 20140318, Jul. 2014.
[63] H. Eugene Stanley, Introduction to Phase Transitions and Critical Phenomena, Reprint edition. New York: Oxford University Press, 1987.
[64] H.-M. Yeh, Y.-C. Chang, C. Lin, C.-H. Yeh, C.-N. Lee, M.-K. Shyu, M.-H. Hung, P.-N. Hsiao, Y.-H. Wang, Y.-H. Tseng, J. Tsao, L.-P. Lai, L.-Y. Lin, and M.-T. Lo, “A New Method to Derive Fetal Heart Rate from Maternal Abdominal Electrocardiogram: Monitoring Fetal Heart Rate during Cesarean Section,” PLOS ONE, vol. 10, no. 2, p. e0117509, Feb. 2015.
[65] L. A. N. Amaral, S. V. Buldyrev, S. Havlin, M. A. Salinger, and H. E. Stanley, “Power Law Scaling for a System of Interacting Units with Complex Internal Structure,” Phys. Rev. Lett., vol. 80, no. 7, pp. 1385–1388, Feb. 1998.
[66] M. Hall, R. Vasko, D. Buysse, H. Ombao, Q. Chen, J. D. Cashmere, D. Kupfer, and J. F. Thayer, “Acute stress affects heart rate variability during sleep,” Psychosom. Med., vol. 66, no. 1, pp. 56–62, Feb. 2004.
[67] E. Tasali, R. Leproult, D. A. Ehrmann, and E. Van Cauter, “Slow-wave sleep and the risk of type 2 diabetes in humans,” Proc. Natl. Acad. Sci. U. S. A., vol. 105, no. 3, pp. 1044–1049, Jan. 2008.
[68] F. Jurysta, P. van de Borne, P.-F. Migeotte, M. Dumont, J.-P. Lanquart, J.-P. Degaute, and P. Linkowski, “A study of the dynamic interactions between sleep EEG and heart rate variability in healthy young men,” Clin. Neurophysiol. Off. J. Int. Fed. Clin. Neurophysiol., vol. 114, no. 11, pp. 2146–2155, Nov. 2003.
[69] F. Roche, J.-M. Gaspoz, I. Court-Fortune, P. Minini, V. Pichot, D. Duverney, F. Costes, J.-R. Lacour, and J.-C. Barthélémy, “Screening of Obstructive Sleep Apnea Syndrome by Heart Rate Variability Analysis,” Circulation, vol. 100, no. 13, pp. 1411–1415, Sep. 1999.
[70] F. Jurysta, J.-P. Lanquart, P. van de Borne, P.-F. Migeotte, M. Dumont, J.-P. Degaute, and P. Linkowski, “The link between cardiac autonomic activity and sleep delta power is altered in men with sleep apnea-hypopnea syndrome,” Am. J. Physiol. Regul. Integr. Comp. Physiol., vol. 291, no. 4, pp. R1165–1171, Oct. 2006.
[71] F. Jurysta, C. Kempenaers, J. Lancini, J.-P. Lanquart, P. van de Borne, and P. Linkowski, “Altered interaction between cardiac vagal influence and delta sleep EEG suggests an altered neuroplasticity in patients suffering from major depressive disorder,” Acta Psychiatr. Scand., vol. 121, no. 3, pp. 236–239, Mar. 2010.
[72] S. Boettger, D. Hoyer, K. Falkenhahn, M. Kaatz, V. K. Yeragani, and K.-J. Bär, “Altered diurnal autonomic variation and reduced vagal information flow in acute schizophrenia,” Clin. Neurophysiol. Off. J. Int. Fed. Clin. Neurophysiol., vol. 117, no. 12, pp. 2715–2722, Dec. 2006.
[73] A. Rechtschaffen and A. Kales, A manual of standardized terminology, techniques and scoring system for sleep stages of human subjects. US Government Printing Office, US Public Health Service, 1968.
[74] S. Uchida, T. Maloney, and I. Feinberg, “Beta (20-28 Hz) and delta (0.3-3 Hz) EEGs oscillate reciprocally across NREM and REM sleep,” Sleep, vol. 15, no. 4, pp. 352–358, Aug. 1992.
[75] S. Uchida, T. Maloney, and I. Feinberg, “Sigma (12-16 Hz) and beta (20-28 Hz) EEG discriminate NREM and REM sleep,” Brain Res., vol. 659, no. 1–2, pp. 243–248, Oct. 1994.
[76] S. Uchida, I. Feinberg, J. D. March, Y. Atsumi, and T. Maloney, “A comparison of period amplitude analysis and FFT power spectral analysis of all-night human sleep EEG,” Physiol. Behav., vol. 67, no. 1, pp. 121–131, Aug. 1999.
[77] M. Ako, T. Kawara, S. Uchida, S. Miyazaki, K. Nishihara, J. Mukai, K. Hirao, J. Ako, and Y. Okubo, “Correlation between electroencephalography and heart rate variability during sleep,” Psychiatry Clin. Neurosci., vol. 57, no. 1, pp. 59–65, Feb. 2003.
[78] H. Otzenberger, C. Simon, C. Gronfier, and G. Brandenberger, “Temporal relationship between dynamic heart rate variability and electroencephalographic activity during sleep in man,” Neurosci. Lett., vol. 229, no. 3, pp. 173–176, Jul. 1997.
[79] H. Otzenberger, C. Gronfier, C. Simon, A. Charloux, J. Ehrhart, F. Piquard, and G. Brandenberger, “Dynamic heart rate variability: a tool for exploring sympathovagal balance continuously during sleep in men,” Am. J. Physiol., vol. 275, no. 3 Pt 2, pp. H946–950, Sep. 1998.
[80] N. E. Huang, Z. Shen, S. R. Long, M. C. Wu, H. H. Shih, Q. Zheng, N.-C. Yen, C. C. Tung, and H. H. Liu, “The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis,” Proc. R. Soc. Lond. Math. Phys. Eng. Sci., vol. 454, no. 1971, pp. 903–995, Mar. 1998.
[81] M. P. Tulppo, A. M. Kiviniemi, A. J. Hautala, M. Kallio, T. Seppänen, T. H. Mäkikallio, and H. V. Huikuri, “Physiological background of the loss of fractal heart rate dynamics,” Circulation, vol. 112, no. 3, pp. 314–319, Jul. 2005.
[82] T. Penzel, J. W. Kantelhardt, L. Grote, J.-H. Peter, and A. Bunde, “Comparison of detrended fluctuation analysis and spectral analysis for heart rate variability in sleep and sleep apnea,” IEEE Trans. Biomed. Eng., vol. 50, no. 10, pp. 1143–1151, Oct. 2003.
[83] R. Deering and J. F. Kaiser, “The use of a masking signal to improve empirical mode decomposition,” in IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP ’05), 2005, vol. 4, p. iv/485–iv/488 Vol. 4.
[84] C.-K. Peng, S. Havlin, H. E. Stanley, and A. L. Goldberger, “Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series,” Chaos Interdiscip. J. Nonlinear Sci., vol. 5, no. 1, pp. 82–87, 1995.
[85] J. W. Kantelhardt, E. Koscielny-Bunde, H. H. A. Rego, S. Havlin, and A. Bunde, “Detecting long-range correlations with detrended fluctuation analysis,” Phys. Stat. Mech. Its Appl., vol. 295, no. 3–4, pp. 441–454, Jun. 2001.
[86] M. P. Tulppo, R. L. Hughson, T. H. Mäkikallio, K. E. Airaksinen, T. Seppänen, and H. V. Huikuri, “Effects of exercise and passive head-up tilt on fractal and complexity properties of heart rate dynamics,” Am. J. Physiol. Heart Circ. Physiol., vol. 280, no. 3, pp. H1081–1087, Mar. 2001.
[87] T. H. Mäkikallio, T. Seppänen, K. E. Airaksinen, J. Koistinen, M. P. Tulppo, C. K. Peng, A. L. Goldberger, and H. V. Huikuri, “Dynamic analysis of heart rate may predict subsequent ventricular tachycardia after myocardial infarction,” Am. J. Cardiol., vol. 80, no. 6, pp. 779–783, Sep. 1997.
[88] J. Brankačk, C. Scheffzük, V. I. Kukushka, A. L. Vyssotski, A. B. L. Tort, and A. Draguhn, “Distinct features of fast oscillations in phasic and tonic rapid eye movement sleep,” J. Sleep Res., vol. 21, no. 6, pp. 630–633, Dec. 2012.
[89] L. Marshall, R. Kirov, J. Brade, M. Mölle, and J. Born, “Transcranial electrical currents to probe EEG brain rhythms and memory consolidation during sleep in humans,” PloS One, vol. 6, no. 2, p. e16905, 2011.
[90] S. M. Montgomery, A. Sirota, and G. Buzsáki, “Theta and gamma coordination of hippocampal networks during waking and rapid eye movement sleep,” J. Neurosci. Off. J. Soc. Neurosci., vol. 28, no. 26, pp. 6731–6741, Jun. 2008.
[91] K. A. Cote, T. M. Epps, and K. B. Campbell, “The role of the spindle in human information processing of high-intensity stimuli during sleep,” J. Sleep Res., vol. 9, no. 1, pp. 19–26, Mar. 2000.
[92] P. L. Lowrey and J. S. Takahashi, “Mammalian circadian biology: elucidating genome-wide levels of temporal organization,” Annu. Rev. Genomics Hum. Genet., vol. 5, pp. 407–441, 2004.
[93] S. Daan and J. Aschoff, “The Entrainment of Circadian Systems,” in Circadian Clocks, J. S. Takahashi, F. W. Turek, and R. Y. Moore, Eds. Springer US, 2001, pp. 7–43.
[94] JJ de Mairan, Histoire de l’Academie Royale des Sciences. Avec les memoires de mathematique & de physique, pour la meme année, tirés de registres de cette Academie: Année 1729. chez Pierre Mortier, 1733.
[95] D. J. Curtis and M. A. Rasmussen, “The Evolution of Cathemerality in Primates and Other Mammals: A Comparative and Chronoecological Approach,” Folia Primatol. (Basel), vol. 77, no. 1–2, pp. 178–193, Jan. 2006.
[96] R. H. Tuttle, “Primate origins and evolution. By R. D. Martin. Princeton, NJ: Princeton University Press. 1990. ISBN 0-691-08565-X. xiv + 840 pp. $125 (cloth),” Am. J. Phys. Anthropol., vol. 85, no. 2, pp. 243–244, Jun. 1991.
[97] Y. Tan, A. D. Yoder, N. Yamashita, and W.-H. Li, “Evidence from opsin genes rejects nocturnality in ancestral primates,” Proc. Natl. Acad. Sci. U. S. A., vol. 102, no. 41, pp. 14712–14716, Oct. 2005.
[98] L. T. Nash, “Moonlight and Behavior in Nocturnal and Cathemeral Primates, Especially Lepilemur leucopus: Illuminating Possible Anti-Predator Efforts,” in Primate Anti-Predator Strategies, S. L. Gursky and K. A. I. Nekaris, Eds. Springer US, 2007, pp. 173–205.
[99] E. Fernandez-Duque, M. Rotundo, and C. Sloan, “Density and population structure of owl monkeys (Aotus azarai) in the Argentinean Chaco,” Am. J. Primatol., vol. 53, no. 3, pp. 99–108, Mar. 2001.
[100] E. Fernandez-Duque, “Natal dispersal in monogamous owl monkeys (Aotus azarai) of the Argentinean Chaco,” Behaviour, vol. 146, no. 4, pp. 583–606, Apr. 2009.
[101] I. Tattersall, “Cathemeral Activity in Primates: A Definition,” Folia Primatol. (Basel), vol. 49, no. 3–4, pp. 200–202, Jul. 1987.
[102] M. G. Rosenblum, A. S. Pikovsky, and J. Kurths, “From Phase to Lag Synchronization in Coupled Chaotic Oscillators,” Phys. Rev. Lett., vol. 78, no. 22, pp. 4193–4196, Jun. 1997.
[103] P. Fries, “A mechanism for cognitive dynamics: neuronal communication through neuronal coherence,” Trends Cogn. Sci., vol. 9, no. 10, pp. 474–480, Oct. 2005.
[104] T. Womelsdorf, J.-M. Schoffelen, R. Oostenveld, W. Singer, R. Desimone, A. K. Engel, and P. Fries, “Modulation of Neuronal Interactions Through Neuronal Synchronization,” Science, vol. 316, no. 5831, pp. 1609–1612, Jun. 2007.
[105] M.-T. Lo, K. Hu, Y. Liu, C.-K. Peng, and V. Novak, “Multimodal Pressure Flow Analysis: Application of Hilbert Huang Transform in Cerebral Blood Flow Regulation,” EURASIP J. Adv. Signal Process., vol. 2008, p. 785243, 2008.
[106] P. Sauseng, W. Klimesch, W. R. Gruber, and N. Birbaumer, “Cross-frequency phase synchronization: A brain mechanism of memory matching and attention,” NeuroImage, vol. 40, no. 1, pp. 308–317, Mar. 2008.
[107] F. Darvas, K. J. Miller, R. P. N. Rao, and J. G. Ojemann, “Nonlinear Phase–Phase Cross-Frequency Coupling Mediates Communication between Distant Sites in Human Neocortex,” J. Neurosci., vol. 29, no. 2, pp. 426–435, Jan. 2009.
[108] J. Fell and N. Axmacher, “The role of phase synchronization in memory processes,” Nat. Rev. Neurosci., vol. 12, no. 2, pp. 105–118, Feb. 2011.
[109] R. P. Bartsch, A. Y. Schumann, J. W. Kantelhardt, T. Penzel, and P. C. Ivanov, “Phase transitions in physiologic coupling,” Proc. Natl. Acad. Sci., vol. 109, no. 26, pp. 10181–10186, Jun. 2012.
[110] K. Hu, M.-T. Lo, C.-K. Peng, Y. Liu, and V. Novak, “A Nonlinear Dynamic Approach Reveals a Long-Term Stroke Effect on Cerebral Blood Flow Regulation at Multiple Time Scales,” PLoS Comput Biol, vol. 8, no. 7, p. e1002601, Jul. 2012.
[111] D. J. L. G. Schutter and G. G. Knyazev, “Cross-frequency coupling of brain oscillations in studying motivation and emotion,” Motiv. Emot., vol. 36, no. 1, pp. 46–54, Mar. 2012.
[112] G. Buzsaki, Rhythms of the Brain. Oxford University Press, 2006.
[113] O. Jensen and L. L. Colgin, “Cross-frequency coupling between neuronal oscillations,” Trends Cogn. Sci., vol. 11, no. 7, pp. 267–269, Jul. 2007.
[114] A. Sirota, S. Montgomery, S. Fujisawa, Y. Isomura, M. Zugaro, and G. Buzsáki, “Entrainment of Neocortical Neurons and Gamma Oscillations by the Hippocampal Theta Rhythm,” Neuron, vol. 60, no. 4, pp. 683–697, Nov. 2008.
[115] O. Jensen and J. E. Lisman, “Hippocampal CA3 region predicts memory sequences: accounting for the phase precession of place cells.,” Learn. Mem., vol. 3, no. 2–3, pp. 279–287, Sep. 1996.
[116] K. J. Rennert and J. M. Wallace, “Cross-Frequency Coupling, Skewness, and Blocking in the Northern Hemisphere Winter Circulation,” J. Clim., vol. 22, no. 21, pp. 5650–5666, Nov. 2009.
[117] M. A. Kramer, A. B. L. Tort, and N. J. Kopell, “Sharp edge artifacts and spurious coupling in EEG frequency comodulation measures,” J. Neurosci. Methods, vol. 170, no. 2, pp. 352–357, May 2008.
[118] M.-T. Lo, V. Novak, C.-K. Peng, Y. Liu, and K. Hu, “Nonlinear phase interaction between nonstationary signals: a comparison study of methods based on Hilbert-Huang and Fourier transforms,” Phys. Rev. E Stat. Nonlin. Soft Matter Phys., vol. 79, no. 6 Pt 1, p. 061924, Jun. 2009.
[119] B. Pittman-Polletta, W.-H. Hsieh, S. Kaur, M.-T. Lo, and K. Hu, “Detecting phase-amplitude coupling with high frequency resolution using adaptive decompositions,” J. Neurosci. Methods, vol. 226, pp. 15–32, Apr. 2014.
[120] D. Aldous and P. Diaconis, “Shuffling Cards and Stopping Times,” Am. Math. Mon., vol. 93, no. 5, pp. 333–348, 1986.
[121] N. E. Huang and S. S. P. Shen, Hilbert–Huang Transform and Its Applications. World Scientific, 2014.
[122] A. Thibaut, C. Chatelle, E. Ziegler, M.-A. Bruno, S. Laureys, and O. Gosseries, “Spasticity after stroke: Physiology, assessment and treatment,” Brain Inj., vol. 27, no. 10, pp. 1093–1105, Sep. 2013.
[123] T. D. Sanger, M. R. Delgado, D. Gaebler-Spira, M. Hallett, and J. W. Mink, “Classification and Definition of Disorders Causing Hypertonia in Childhood,” Pediatrics, vol. 111, no. 1, pp. e89–e97, Jan. 2003.
[124] A. D. Pandyan, M. Gregoric, M. P. Barnes, D. Wood, F. V. Wijck, J. Burridge, H. Hermens, and G. R. Johnson, “Spasticity: Clinical perceptions, neurological realities and meaningful measurement,” Disabil. Rehabil., vol. 27, no. 1–2, pp. 2–6, Jan. 2005.
[125] R. L. Rosales and A. S. Chua-Yap, “Evidence-based systematic review on the efficacy and safety of botulinum toxin-A therapy in post-stroke spasticity,” J. Neural Transm., vol. 115, no. 4, pp. 617–623, Mar. 2008.
[126] J. C. Hobart, A. Riazi, A. J. Thompson, I. M. Styles, W. Ingram, P. J. Vickery, M. Warner, P. J. Fox, and J. P. Zajicek, “Getting the measure of spasticity in multiple sclerosis: the Multiple Sclerosis Spasticity Scale (MSSS-88),” Brain, vol. 129, no. 1, pp. 224–234, Jan. 2006.
[127] P. G. Loubser, R. K. Narayan, K. J. Sandin, W. H. Donovan, and K. D. Russell, “Continuous infusion of intrathecal baclofen: long-term effects on spasticity in spinal cord injury,” Spinal Cord, vol. 29, no. 1, pp. 48–64, Jan. 1991.
[128] R. T. Lauer, C. A. Stackhouse, P. A. Shewokis, B. T. Smith, C. A. Tucker, and J. McCarthy, “A time–frequency based electromyographic analysis technique for use in cerebral palsy,” Gait Posture, vol. 26, no. 3, pp. 420–427, Sep. 2007.
[129] B. Ashworth, “PRELIMINARY TRIAL OF CARISOPRODOL IN MULTIPLE SCLEROSIS,” The Practitioner, vol. 192, pp. 540–542, Apr. 1964.
[130] I. Campanini, A. Merlo, and L. Cavazzuti, “What’s the risk of using the Modified Ashworth Scale (MAS) to assess spasticity at the ankle?,” Gait Posture, vol. 33, pp. S18–S19, Apr. 2011.
[131] C. Yates, K. Garrison, N. B. Reese, A. Charlesworth, and E. Garcia-Rill, “Novel mechanism for hyper-reflexia and spasticity,” Prog. Brain Res., vol. 188, pp. 167–180, 2011.
[132] A. C. Schmartz, A. D. Meyer-Heim, R. Müller, and M. Bolliger, “Measurement of muscle stiffness using robotic assisted gait orthosis in children with cerebral palsy: a proof of concept,” Disabil. Rehabil. Assist. Technol., vol. 6, no. 1, pp. 29–37, 2011.
[133] T. Bajd and L. Vodovnik, “Pendulum testing of spasticity,” J. Biomed. Eng., vol. 6, no. 1, pp. 9–16, Jan. 1984.
[134] D. G. Kamper, B. D. Schmit, and W. Z. Rymer, “Effect of muscle biomechanics on the quantification of spasticity,” Ann. Biomed. Eng., vol. 29, no. 12, pp. 1122–1134, Dec. 2001.
[135] C. A. Myers, P. J. Laz, K. B. Shelburne, and B. S. Davidson, “A probabilistic approach to quantify the imPACt of uncertainty propagation in musculoskeletal simulations,” Ann. Biomed. Eng., vol. 43, no. 5, pp. 1098–1111, May 2015.
[136] B. D. Schmit and W. Z. Rymer, “Identification of static and dynamic components of reflex sensitivity in spastic elbow flexors using a muscle activation model,” Ann. Biomed. Eng., vol. 29, no. 4, pp. 330–339, Apr. 2001.
[137] C. G. Song, S. C. Kim, K. C. Nam, and D. W. Kim, “Optimum electrode configuration for detection of leg movement using bio-impedance,” Physiol. Meas., vol. 26, no. 2, pp. S59–68, Apr. 2005.
[138] J. M. Hidler, R. L. Harvey, and W. Z. Rymer, “Frequency response characteristics of ankle plantar flexors in humans following spinal cord injury: relation to degree of spasticity,” Ann. Biomed. Eng., vol. 30, no. 7, pp. 969–981, Aug. 2002.
[139] G. Rabita, L. Dupont, A. Thevenon, G. Lensel-Corbeil, C. Pérot, and J. Vanvelcenaher, “Differences in kinematic parameters and plantarflexor reflex responses between manual (Ashworth) and isokinetic mobilisations in spasticity assessment,” Clin. Neurophysiol. Off. J. Int. Fed. Clin. Neurophysiol., vol. 116, no. 1, pp. 93–100, Jan. 2005.
[140] T. W. Schweitzer, J. W. Fitzgerald, J. A. Bowden, and P. Lynne-Davies, “Spectral analysis of human inspiratory diaphragmatic electromyograms,” J. Appl. Physiol., vol. 46, no. 1, pp. 152–165, Jan. 1979.
[141] L. A. Rokicki, T. T. Houle, L. K. Dhingra, S. R. Weinland, A. M. Urban, and R. K. Bhalla, “A preliminary analysis of EMG variance as an index of change in EMG biofeedback treatment of tension-type headache,” Appl. Psychophysiol. Biofeedback, vol. 28, no. 3, pp. 205–215, Sep. 2003.
[142] B. K. Arya, J. Mohapatra, K. Subramanya, H. Prasad, R. Kumar, and M. Mahadevappa, “Surface EMG analysis and changes in gait following electrical stimulation of quadriceps femoris and tibialis anterior in children with spastic cerebral palsy,” Conf. Proc. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. IEEE Eng. Med. Biol. Soc. Annu. Conf., vol. 2012, pp. 5726–5729, 2012.
[143] S. K. Sabut, P. K. Lenka, R. Kumar, and M. Mahadevappa, “Effect of functional electrical stimulation on the effort and walking speed, surface electromyography activity, and metabolic responses in stroke subjects,” J. Electromyogr. Kinesiol. Off. J. Int. Soc. Electrophysiol. Kinesiol., vol. 20, no. 6, pp. 1170–1177, Dec. 2010.
[144] M. Schwartz, EMG Methods for Evaluating Muscle and Nerve Function. InTech, 2011.
[145] Carlo J. De Luca, surface electromyography: detection and recording. DelSys Incorporated, 2002.
[146] M. Alemu, D. K. Kumar, and A. Bradley, “Time-frequency analysis of SEMG--with special consideration to the interelectrode sPACing,” IEEE Trans. Neural Syst. Rehabil. Eng. Publ. IEEE Eng. Med. Biol. Soc., vol. 11, no. 4, pp. 341–345, Dec. 2003.
[147] J. Y. Guo, Y. P. Zheng, Q. H. Huang, X. Chen, and J. F. He, “Comparison of sonomyography and electromyography of forearm muscles in the guided wrist extension,” in 5th International Summer School and Symposium on Medical Devices and Biosensors, 2008. ISSS-MDBS 2008, 2008, pp. 235–238.
[148] M. Brown, D. R. Sinacore, and H. H. Host, “The relationship of strength to function in the older adult,” J. Gerontol. A. Biol. Sci. Med. Sci., vol. 50 Spec No, pp. 55–59, Nov. 1995.
[149] R. H. Hyatt, M. N. Whitelaw, A. Bhat, S. Scott, and J. D. Maxwell, “Association of Muscle Strength with Functional Status of Elderly People,” Age Ageing, vol. 19, no. 5, pp. 330–336, Sep. 1990.
[150] M. Müller, G. Baier, A. Galka, U. Stephani, and H. Muhle, “Detection and characterization of changes of the correlation structure in multivariate time series,” Phys. Rev. E Stat. Nonlin. Soft Matter Phys., vol. 71, no. 4 Pt 2, p. 046116, Apr. 2005.
[151] Z. Chen, K. Hu, H. E. Stanley, V. Novak, and P. C. Ivanov, “Cross-correlation of instantaneous phase increments in pressure-flow fluctuations: Applications to cerebral autoregulation,” Phys. Rev. E, vol. 73, no. 3, p. 031915, Mar. 2006.
[152] Yeh, Chien-Hung, Young, Vincent, Hsu-Wen, Wang, Cheng-Yen, Wang, Yung-Hung, Lee, Po-Lei, Kang, Jiunn-Horng, and Lo, Men-Tzung, “Quantifying Spasticity with Limited Swinging Cycles using Pendulum Test Based on Phase Amplitude Coupling,” IEEE Trans. Neural Syst. Rehabil. Eng., 2016.
[153] K. Hu, C. K. Peng, N. E. Huang, Z. Wu, L. A. Lipsitz, J. Cavallerano, and V. Novak, “Altered phase interactions between spontaneous blood pressure and flow fluctuations in type 2 diabetes mellitus: Nonlinear assessment of cerebral autoregulation,” Phys. Stat. Mech. Its Appl., vol. 387, no. 10, pp. 2279–2292, Apr. 2008.
[154] K. Hu, C. K. Peng, M. Czosnyka, P. Zhao, and V. Novak, “Nonlinear Assessment of Cerebral Autoregulation from Spontaneous Blood Pressure and Cerebral Blood Flow Fluctuations,” Cardiovasc. Eng., vol. 8, no. 1, pp. 60–71, Dec. 2007.
[155] K. Hu, M.-T. Lo, C. k. Peng, V. Novak, E. A. Schmidt, A. Kumar, and M. Czosnyka, “Nonlinear Pressure-Flow Relationship Is Able to Detect Asymmetry of Brain Blood Circulation Associated with Midline Shift,” J. Neurotrauma, vol. 26, no. 2, pp. 227–233, Jan. 2009.
[156] B. D. Manor, K. Hu, C.-K. Peng, L. A. Lipsitz, and V. Novak, “Posturo-respiratory synchronization: Effects of aging and stroke,” Gait Posture, vol. 36, no. 2, pp. 254–259, Jun. 2012.
[157] J. L. Wang, A. S. Lim, W.-Y. Chiang, W.-H. Hsieh, M.-T. Lo, J. A. Schneider, A. S. Buchman, D. A. Bennett, K. Hu, and C. B. Saper, “Suprachiasmatic neuron numbers and rest–activity circadian rhythms in older humans,” Ann. Neurol., vol. 78, no. 2, pp. 317–322, Aug. 2015.
[158] N. E. Huang, X. Chen, M.-T. Lo, and Z. Wu, “On hilbert spectral representation: a true time-frequency representation for nonlinear and nonstationary data,” Adv. Adapt. Data Anal., vol. 03, no. 01n02, pp. 63–93, Apr. 2011.
[159] C.-H. Yeh, C.-Y. Hung, Y.-H. Wang, W.-T. Hsu, Y.-C. Chang, J.-R. Yeh, P.-L. Lee, K. Hu, J.-H. Kang, and M.-T. Lo, “Novel application of a Wii remote to measure spasticity with the pendulum test: Proof of concept,” Gait Posture, vol. 43, pp. 70–75, Jan. 2016.
[160] Z. Wu and N. E. Huang, “Ensemble empirical mode decomposition: a noise-assisted data analysis method,” Adv. Adapt. Data Anal., vol. 01, no. 01, pp. 1–41, Jan. 2009.
[161] Y.-H. Wang, C.-H. Yeh, H.-W. V. Young, K. Hu, and M.-T. Lo, “On the computational complexity of the empirical mode decomposition algorithm,” Phys. Stat. Mech. Its Appl., vol. 400, pp. 159–167, Apr. 2014.
[162] G. Wang, X.-Y. Chen, F.-L. Qiao, Z. Wu, and N. E. Huang, “On intrinsic mode function,” Adv. Adapt. Data Anal., vol. 02, no. 03, pp. 277–293, Jul. 2010.
[163] D. Horvatic, H. E. Stanley, and B. Podobnik, “Detrended cross-correlation analysis for non-stationary time series with periodic trends,” EPL Europhys. Lett., vol. 94, no. 1, p. 18007, 2011.
[164] R. L. Stratonovich, Topics In the Theory of Random Noise. CRC Press, 1967.
[165] H. Hurst, “Long-term storage caPACity of reservoirs,” Trans Amer Soc Civ. Eng, vol. 116, pp. 770–808, 1951.
[166] B. Podobnik, D. Horvatic, A. Lam Ng, H. Eugene Stanley, and P. C. Ivanov, “Modeling long-range cross-correlations in two-component ARFIMA and FIARCH processes,” Phys. Stat. Mech. Its Appl., vol. 387, no. 15, pp. 3954–3959, Jun. 2008.
[167] B. Podobnik, I. Grosse, D. Horvatić, S. Ilic, P. C. Ivanov, and H. E. Stanley, “Quantifying cross-correlations using local and global detrending approaches,” Eur. Phys. J. B, vol. 71, no. 2, pp. 243–250, Sep. 2009.
[168] S. J. Schiff, D. Colella, G. M. Jacyna, E. Hughes, J. W. Creekmore, A. Marshall, M. Bozek-Kuzmicki, G. Benke, W. D. Gaillard, J. Conry, and S. R. Weinstein, “Brain chirps: spectrographic signatures of epileptic seizures,” Clin. Neurophysiol. Off. J. Int. Fed. Clin. Neurophysiol., vol. 111, no. 6, pp. 953–958, Jun. 2000.
[169] L. Xu, Z. Chen, K. Hu, H. E. Stanley, and P. C. Ivanov, “Spurious detection of phase synchronization in coupled nonlinear oscillators,” Phys. Rev. E, vol. 73, no. 6, p. 065201, Jun. 2006.
[170] A. B. L. Tort, R. Scheffer-Teixeira, B. C. Souza, A. Draguhn, and J. Brankačk, “Theta-associated high-frequency oscillations (110-160Hz) in the hippocampus and neocortex,” Prog. Neurobiol., vol. 100, pp. 1–14, Jan. 2013.
[171] W. E. Skaggs, B. L. McNaughton, M. Permenter, M. Archibeque, J. Vogt, D. G. Amaral, and C. A. Barnes, “EEG sharp waves and sparse ensemble unit activity in the macaque hippocampus,” J. Neurophysiol., vol. 98, no. 2, pp. 898–910, Aug. 2007.
[172] A. Bashan, R. P. Bartsch, J. W. Kantelhardt, S. Havlin, and P. C. Ivanov, “Network physiology reveals relations between network topology and physiological function,” Nat. Commun., vol. 3, p. 702, Feb. 2012.
[173] R. P. Bartsch, K. K. L. Liu, A. Bashan, and P. C. Ivanov, “Network Physiology: How Organ Systems Dynamically Interact,” PLoS ONE, vol. 10, no. 11, p. e0142143, Nov. 2015.
[174] M. Breakspear, J. A. Roberts, J. R. Terry, S. Rodrigues, N. Mahant, and P. A. Robinson, “A Unifying Explanation of Primary Generalized Seizures Through Nonlinear Brain Modeling and Bifurcation Analysis,” Cereb. Cortex, vol. 16, no. 9, pp. 1296–1313, Sep. 2006.
[175] P. A. Robinson, C. J. Rennie, and J. J. Wright, “Propagation and stability of waves of electrical activity in the cerebral cortex,” Phys. Rev. E, vol. 56, no. 1, pp. 826–840, Jul. 1997.
[176] T. I. Netoff and S. J. Schiff, “Decreased Neuronal Synchronization during Experimental Seizures,” J. Neurosci., vol. 22, no. 16, pp. 7297–7307, Aug. 2002.
[177] F. Wendling, A. Hernandez, J.-J. Bellanger, P. Chauvel, and F. Bartolomei, “Interictal to ictal transition in human temporal lobe epilepsy: insights from a computational model of intracerebral EEG,” J. Clin. Neurophysiol., vol. 22, no. 5, pp. 343–356, Oct. 2005.
[178] D. A. McCormick and D. Contreras, “On The Cellular and Network Bases of Epileptic Seizures,” Annu. Rev. Physiol., vol. 63, no. 1, pp. 815–846, 2001.
[179] Alan V. Oppenheim, Discrete-Time Signal Processing, 3 edition. Upper Saddle River: Prentice Hall, 2009.
[180] L. T. Evans, R. Morse, and D. W. Roberts, “Epilepsy surgery in tuberous sclerosis: a review,” Neurosurg. Focus, vol. 32, no. 3, p. E5, Mar. 2012.
[181] D. G. Placantonakis and T. H. Schwartz, “Localization in epilepsy,” Neurol. Clin., vol. 27, no. 4, pp. 1015–1030, Nov. 2009.
[182] S. A. Weiss, G. P. Banks, G. M. McKhann, R. R. Goodman, R. G. Emerson, A. J. Trevelyan, and C. A. Schevon, “Ictal high frequency oscillations distinguish two types of seizure territories in humans,” Brain J. Neurol., vol. 136, no. Pt 12, pp. 3796–3808, Dec. 2013.
[183] R. Scheffer-Teixeira, H. Belchior, F. V. Caixeta, B. C. Souza, S. Ribeiro, and A. B. L. Tort, “Theta phase modulates multiple layer-specific oscillations in the CA1 region,” Cereb. Cortex N. Y. N 1991, vol. 22, no. 10, pp. 2404–2414, Oct. 2012.
[184] A. L. Benabid, S. Chabardes, J. Mitrofanis, and P. Pollak, “Deep brain stimulation of the subthalamic nucleus for the treatment of Parkinson’s disease,” Lancet Neurol., vol. 8, no. 1, pp. 67–81, Jan. 2009.
[185] B. Wingeier, T. Tcheng, M. M. Koop, B. C. Hill, G. Heit, and H. M. Bronte-Stewart, “Intra-operative STN DBS attenuates the prominent beta rhythm in the STN in Parkinson’s disease,” Exp. Neurol., vol. 197, no. 1, pp. 244–251, Jan. 2006.
[186] A. A. Kühn, F. Kempf, C. Brücke, L. Gaynor Doyle, I. Martinez-Torres, A. Pogosyan, T. Trottenberg, A. Kupsch, G.-H. Schneider, M. I. Hariz, W. Vandenberghe, B. Nuttin, and P. Brown, “High-frequency stimulation of the subthalamic nucleus suppresses oscillatory beta activity in patients with Parkinson’s disease in parallel with improvement in motor performance,” J. Neurosci. Off. J. Soc. Neurosci., vol. 28, no. 24, pp. 6165–6173, Jun. 2008.
[187] N. J. Ray, N. Jenkinson, S. Wang, P. Holland, J. S. Brittain, C. Joint, J. F. Stein, and T. Aziz, “Local field potential beta activity in the subthalamic nucleus of patients with Parkinson’s disease is associated with improvements in bradykinesia after dopamine and deep brain stimulation,” Exp. Neurol., vol. 213, no. 1, pp. 108–113, Sep. 2008.
[188] H. Bronte-Stewart, C. Barberini, M. M. Koop, B. C. Hill, J. M. Henderson, and B. Wingeier, “The STN beta-band profile in Parkinson’s disease is stationary and shows prolonged attenuation after deep brain stimulation,” Exp. Neurol., vol. 215, no. 1, pp. 20–28, Jan. 2009.
[189] L. Rossi, S. Marceglia, G. Foffani, F. Cogiamanian, F. Tamma, P. Rampini, S. Barbieri, F. Bracchi, and A. Priori, “Subthalamic local field potential oscillations during ongoing deep brain stimulation in Parkinson’s disease,” Brain Res. Bull., vol. 76, no. 5, pp. 512–521, Jul. 2008.
[190] A. Eusebio, W. Thevathasan, L. D. Gaynor, A. Pogosyan, E. Bye, T. Foltynie, L. Zrinzo, K. Ashkan, T. Aziz, and P. Brown, “Deep brain stimulation can suppress pathological synchronisation in parkinsonian patients,” J. Neurol. Neurosurg. Psychiatry, vol. 82, no. 5, pp. 569–573, May 2011.
[191] D. Whitmer, C. de Solages, B. Hill, H. Yu, J. M. Henderson, and H. Bronte-Stewart, “High frequency deep brain stimulation attenuates subthalamic and cortical rhythms in Parkinson’s disease,” Front. Hum. Neurosci., vol. 6, Jun. 2012.
[192] D. Stoffers, J. L. W. Bosboom, J. B. Deijen, E. C. Wolters, H. W. Berendse, and C. J. Stam, “Slowing of oscillatory brain activity is a stable characteristic of Parkinson’s disease without dementia,” Brain, vol. 130, no. 7, pp. 1847–1860, Jul. 2007.
[193] J.-M. Melgari, G. Curcio, F. Mastrolilli, G. Salomone, L. Trotta, M. Tombini, L. di Biase, F. Scrascia, R. Fini, E. Fabrizio, P. M. Rossini, and F. Vernieri, “Alpha and beta EEG power reflects L-dopa acute administration in parkinsonian patients,” Front. Aging Neurosci., vol. 6, p. 302, 2014.
[194] V. Litvak, A. Jha, A. Eusebio, R. Oostenveld, T. Foltynie, P. Limousin, L. Zrinzo, M. I. Hariz, K. Friston, and P. Brown, “Resting oscillatory cortico-subthalamic connectivity in patients with Parkinson’s disease,” Brain, vol. 134, no. 2, pp. 359–374, Feb. 2011.
[195] J. Hirschmann, T. E. Özkurt, M. Butz, M. Homburger, S. Elben, C. J. Hartmann, J. Vesper, L. Wojtecki, and A. Schnitzler, “Distinct oscillatory STN-cortical loops revealed by simultaneous MEG and local field potential recordings in patients with Parkinson’s disease,” NeuroImage, vol. 55, no. 3, pp. 1159–1168, Apr. 2011.
[196] C. de Hemptinne, E. S. Ryapolova-Webb, E. L. Air, P. A. Garcia, K. J. Miller, J. G. Ojemann, J. L. Ostrem, N. B. Galifianakis, and P. A. Starr, “Exaggerated phase–amplitude coupling in the primary motor cortex in Parkinson disease,” Proc. Natl. Acad. Sci., vol. 110, no. 12, pp. 4780–4785, Mar. 2013.
[197] J. R. Manning, J. Jacobs, I. Fried, and M. J. Kahana, “Broadband Shifts in Local Field Potential Power Spectra Are Correlated with Single-Neuron Spiking in Humans,” J. Neurosci., vol. 29, no. 43, pp. 13613–13620, Oct. 2009.
[198] P. Suffczynski, N. E. Crone, and P. J. Franaszczuk, “Afferent inputs to cortical fast-spiking interneurons organize pyramidal cell network oscillations at high-gamma frequencies (60–200 Hz),” J. Neurophysiol., vol. 112, no. 11, pp. 3001–3011, Dec. 2014.
[199] J. Jacobs, M. J. Kahana, A. D. Ekstrom, and I. Fried, “Brain Oscillations Control Timing of Single-Neuron Activity in Humans,” J. Neurosci., vol. 27, no. 14, pp. 3839–3844, Apr. 2007.
[200] R. Wartenberg, “Pendulousness of the Legs as a Diagnostic Test,” Neurology, vol. 1, no. 1, pp. 18–18, Jan. 1951.
[201] M. Jamshidi and A. W. Smith, “Clinical measurement of spasticity using the pendulum test: Comparison of electrogoniometric and videotape analyses,” Arch. Phys. Med. Rehabil., vol. 77, no. 11, pp. 1129–1132, Nov. 1996.
[202] K. L. Larsen, G. Maanum, K. F. Frøslie, and R. Jahnsen, “Ambulant adults with spastic cerebral palsy: The validity of lower limb joint angle measurements from sagittal video recordings,” Gait Posture, vol. 35, no. 2, pp. 186–191, Feb. 2012.
[203] J. W. Fee and F. Miller, “The Leg Drop Pendulum Test performed under general anesthesia in spastic cerebral palsy,” Dev. Med. Child Neurol., vol. 46, no. 4, pp. 273–281, Apr. 2004.
[204] E. P. Doheny, C. Walsh, T. Foran, B. R. Greene, C. W. Fan, C. Cunningham, and R. A. Kenny, “Falls classification using tri-axial accelerometers during the five-times-sit-to-stand test,” Gait Posture, vol. 38, no. 4, pp. 1021–1025, Sep. 2013.
[205] B. Coley, B. Najafi, A. Paraschiv-Ionescu, and K. Aminian, “Stair climbing detection during daily physical activity using a miniature gyroscope,” Gait Posture, vol. 22, no. 4, pp. 287–294, Dec. 2005.
[206] A. Findlow, J. Y. Goulermas, C. Nester, D. Howard, and L. P. J. Kenney, “Predicting lower limb joint kinematics using wearable motion sensors,” Gait Posture, vol. 28, no. 1, pp. 120–126, Jul. 2008.
[207] E. E. Tripoliti, A. T. Tzallas, M. G. Tsipouras, G. Rigas, P. Bougia, M. Leontiou, S. Konitsiotis, M. Chondrogiorgi, S. Tsouli, and D. I. Fotiadis, “Automatic detection of freezing of gait events in patients with Parkinson’s disease,” Comput. Methods Programs Biomed., vol. 110, no. 1, pp. 12–26, Apr. 2013.
[208] T. Schou and H. J. Gardner, “A Wii Remote, a Game Engine, Five Sensor Bars and a Virtual Reality Theatre,” in Proceedings of the 19th Australasian Conference on Computer-Human Interaction: Entertaining User Interfaces, New York, NY, USA, 2007, pp. 231–234.
[209] H. Lau and K. Tong, “The reliability of using accelerometer and gyroscope for gait event identification on persons with dropped foot,” Gait Posture, vol. 27, no. 2, pp. 248–257, Feb. 2008.
[210] B. C. McDowell, V. Hewitt, A. Nurse, T. Weston, and R. Baker, “The variability of goniometric measurements in ambulatory children with spastic cerebral palsy,” Gait Posture, vol. 12, no. 2, pp. 114–121, Oct. 2000.
[211] L. Vodovnik, B. R. Bowman, and T. Bajd, “Dynamics of spastic knee joint,” Med. Biol. Eng. Comput., vol. 22, no. 1, pp. 63–69, Jan. 1984.
[212] R. W. Bohannon, S. Harrison, and J. Kinsella-Shaw, “Reliability and validity of pendulum test measures of spasticity obtained with the Polhemus tracking system from patients with chronic stroke,” J. NeuroEngineering Rehabil., vol. 6, p. 30, 2009.
[213] J. R. Landis and G. G. Koch, “The Measurement of Observer Agreement for Categorical Data,” Biometrics, vol. 33, no. 1, pp. 159–174, 1977.
[214] V. Fowler, C. G. Canning, J. H. Carr, and R. B. Shepherd, “Muscle length effect on the pendulum test,” Arch. Phys. Med. Rehabil., vol. 79, no. 2, pp. 169–171, Feb. 1998.
[215] E. Greenan Fowler, A. I. Nwigwe, and T. Wong Ho, “Sensitivity of the pendulum test for assessing spasticity in persons with cerebral palsy,” Dev. Med. Child Neurol., vol. null, no. 03, pp. 182–189, Mar. 2000.
[216] M. Blackburn, P. van Vliet, and S. P. Mockett, “Reliability of Measurements Obtained With the Modified Ashworth Scale in the Lower Extremities of People With Stroke,” Phys. Ther., vol. 82, no. 1, pp. 25–34, Jan. 2002.
[217] T. Kaya, A. G. Karatepe, R. Gunaydin, A. Koc, and U. Altundal Ercan, “Inter-rater reliability of the Modified Ashworth Scale and modified Modified Ashworth Scale in assessing poststroke elbow flexor spasticity,” Int. J. Rehabil. Res. Int. Z. Für Rehabil. Rev. Int. Rech. Réadapt., vol. 34, no. 1, pp. 59–64, Mar. 2011. |
[Endnote RIS 格式]
[相關文章]
[文章引用]
[完整記錄]
[館藏目錄]
[檢視]
plurk
funp
live
udn
HD
myshare
netvibes
friend
youpush
delicious
baidu
Google bookmarks
del.icio.us
hemidemi
facebook
twitter
google
reddit