Abstract
Pupil is controlled by the autonomous nervous system. Patients with temporomandibular disorders (TMD) and with obstructive sleep apnea syndrome (OSAS) are affected by a dysregulation of the autonomous system. Pupillometry is here used to investigate the state of the autonomous system in 3 groups: control, TMD and OSAS. Different indexes are extracted from the pupillogram to characterize pupil dynamics investigated in rest and under stationary stimulations. All possible sets of 3 and 4 indexes are used as features to train support vector machines (SVM) to identify the correct groups. The indexes providing optimal classification are identified.
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References
Murillo, R., Crucilla, C., Schmittner, J., Hotchkiss, E., Pickworth, W.B.: Pupillometry in the detection of concomitant drug use in opioid-maintained Patients. Methods Find Exp. Clin. Pharmacol. 26, 271–275 (2004)
Br, K.J., Schulz, S., Koschke, M., Harzendorf, C., Gayde, S., Berg, W., Voss, A., Yeragani, V.K., Boettger, M.K.: Correlations between the autonomic modulation of heart rate, blood pressure and the pupillary light reflex in healthy subjects. J. Neurol. Sci. 279(1-2), 9–13 (2009)
Keivanidou, A., Fotiou, D., Arnaoutoglou, C., Arnaoutoglou, M., Fotiou, F., Karlovasitou, A.: Evaluation of autonomic imbalance in patients with heart failure: a preliminary study of pupillomotor function. Cardiol. J. 17(1), 65–72 (2010)
Censi, F., Calcagnini, G., Cerutti, S.: Coupling patterns between spontaneous rhythms and respiration in cardiovascular variability signals. Comput. Methods Programs Biomed. 68(1), 37–47 (2002)
Borgdorff, P.: Respiratory fluctuations in pupil size. Am. J. Physiol. 228(4), 1094–1102 (1975)
Wilhelm, B., Giedke, H., Ludtke, H., Bittner, E., Hofmann, A., Wilhelm, H.: Daytime variations in central nervous system activation measured by a pupillographic sleepiness test. J. Sleep Res. 10(1), 1–7 (2001)
Eze-Nliam, C.M., Quartana, P.J., Quain, A.M., Smith, M.T.: Nocturnal heart rate variability is lower in temporomandibular disorder patients than in healthy, pain-free individuals. J. Orofac. Pain 25(3), 232–239 (2011)
Diatchenko, L., Slade, G.D., Nackley, A.G., Bhalang, K., Sigurdsson, A., Belfer, A., Goldman, D., Xu, K., Shabalina, S.A., Shagin, D., Max, M.B., Makarov, S.S., Maixner, W.: Genetic basis for individual variations in pain perception and the development of a chronic pain condition. Hum. Mol. Genet. 14, 135–143 (2005)
Light, K.C., Bragdon, E.E., Grewen, K.M., Brownley, K.A., Girdler, S.S., Maixner, W.: Adrenergic dysregulation and pain with and without acute beta-blockade in women with fibromyalgia and temporomandibular disorder. J. Pain 10(5), 542–552 (2009)
Donadio, V., Liguori, R., Vetrugno, R., Contin, M., Elam, M., Wallin, B.G., Karlsson, T., Bugiardini, E., Baruzzi, A., Montagna, P.: Daytime sympathetic hyperactivity in OSAS is related to excessive daytime sleepiness. J. Sleep Res. 16(3), 327–332 (2007)
Montesano, M., Miano, S., Paolino, M.C., Massolo, A.C., Ianniello, F., Forlani, M., Villa, M.P.: Autonomic cardiovascular tests in children with obstructive sleep apnea syndrome. Sleep 33(10), 1349–1355 (2010)
Yun, A.J., Lee, P.Y., Bazar, K.A.: Autonomic dysregulation as a basis of cardiovascular, endocrine, and inflammatory disturbances associated with obstructive sleep apnea and other conditions of chronic hypoxia, hypercapnia, and acidosis. Med. Hypotheses 62(6), 852–856 (2004)
Guilleminault, C., Poyares, D., Rosa, A., Huang, Y.S.: Heart rate variability, sympathetic and vagal balance and EEG arousals in upper airway resistance and mild obstructive sleep apnea syndromes. Sleep Med. 6(5), 451–457 (2005)
Marwan, N., Romano, M.C., Thiel, M., Kurths, J.: Recurrence Plots for the Analysis of Complex Systems. Physics Reports 438, 237–329 (2007)
Chaudhuri, B.B., Kundu, P.: Optimum circular fit to weighted data in multidimensional space. Pattern Recogn. Lett. 14, 1–6 (1993)
Kantz, H., Schreiber, T.: Nonlinear Time-series Analysis. Cambridge Univ. Press (1997)
Cao, L.Y.: Practical method for determining the minimum embedding dimension of a scalar time series. Physical D 110, 43–50 (1997)
Mesin, L., Monaco, A., Cattaneo, R.: Investigation of Nonlinear Pupil Dynamics by Recurrence Quantification Analysis. BioMed. Research International (in press, 2013)
Zou, Y., Donner, R.V., Donges, J.F., Marwan, N., Kurths, J.: Identifying complex periodic windows in continuous-time dynamical systems using recurrence-based methods. Chaos 20(4), 043130 (2010)
Cortes, C., Vapnik, V.N.: Support-Vector Networks. Machine Learning, 20 (1995)
Monaco, A., Cattaneo, R., Mesin, L., Ciarrocchi, I., Sgolastra, F., Pietropaoli, D.: Dysregulation of the Autonomous Nervous System in Patients with Temporomandibular Disorder: A Pupillometric Study. PLoS One 7(9), e45424 (2012)
Javorka, M., Turianikova, Z., Tonhajzerova, I., Javorka, K., Baumert, M.: The effect of orthostasis on recurrence quantification analysis of heart rate and blood pressure dynamics. Physiol. Meas. 30(1), 29–41 (2009)
Hayashi, N., Someya, N., Fukuba, Y.: Effect of intensity of dynamic exercise on pupil diameter in humans. J. Physiol. Anthropol. 29(3), 119–122 (2010)
Eckberg, D.L.: Sympathovagal Balance: A Critical Appraisal. Circulation 96, 3224–3232 (1997)
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Mesin, L., Cattaneo, R., Monaco, A., Pasero, E. (2014). Pupillometric Study of the Dysregulation of the Autonomous Nervous System by SVM Networks. In: Bassis, S., Esposito, A., Morabito, F. (eds) Recent Advances of Neural Network Models and Applications. Smart Innovation, Systems and Technologies, vol 26. Springer, Cham. https://doi.org/10.1007/978-3-319-04129-2_11
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DOI: https://doi.org/10.1007/978-3-319-04129-2_11
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-04128-5
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