References:
[1] Pirzad Jahromi, G., Shabanzadeh Pirsaraei, A., Sadr, S. S., et al., "Multipotent bone marrow stromal cell therapy promotes endogenous cell proliferation following ischemic stroke", Clin. Exp. Pharmacol. Physiol., 42, 1158-1167 (2015).
[2] Jahromi, G. P., Shabanzadeh, A. P., Hashtjini, M. M., et al., "Bone marrow-derived mesenchymal stem cell and simvastatin treatment leads to improved functional recovery and modified c-Fos expression levels in the brain following ischemic stroke", Iran. J. Basic Med. Sci., 21, 1004 (2018).
[3] Mitchell, A. J., Sheth, B., Gill, J., et al., "Prevalence and predictors of post-stroke mood disorders: a meta-analysis and meta-regression of depression, anxiety and adjustment disorder", Gen. Hosp. Psychiatry, 47, 48-60 (2017).
[4] Bao, A.-M., Meynen, G. and Swaab, D., "The stress system in depression and neurodegeneration: focus on the human hypothalamus", Brain Res. Rev., 57, 531-553 (2008).
[5] Yaribeygi, H., Panahi, Y., Sahraei, H., et al., "The impact of stress on body function: A review", Exp. Clin. Sci. J., 16, 1057 (2017).
[6] Őri, Z., Monir, G., Weiss, J., et al., "Heart rate variability: frequency domain analysis", Cardiol. Clin., 10, 499-533 (1992).
[7] Dütsch, M., Burger, M., Dörfler, C., et al., "Cardiovascular autonomic function in poststroke patients", Neurology, 69, 2249-2255 (2007).
[8] Mirzaee, O., Saneian, M., Vani, J. R., et al., "The Psychophysiological Responses of the Chronic Ischemic Stroke Patients to the Acute Stress were Changed", Braz. Arch. Biol. Technol., 62, e19180494 (2019).
[9] Narin, A., Isler, Y., Ozer, M., et al., "Early prediction of paroxysmal atrial fibrillation based on short-term heart rate variability", Physica A, 509, 56-65 (2018).
[10] Jagrič, T., Marhl, M., Štajer, D., et al., "Irregularity test for very short electrocardiogram (ECG) signals as a method for predicting a successful defibrillation in patients with ventricular fibrillation", Transl. Res., 149, 145-151 (2007).
[11] Isler, Y., Narin, A., Ozer, M., et al., "Multi-stage classification of congestive heart failure based on short-term heart rate variability", Chaos, Solitons Fractals, 118, 145-151 (2019).
[12] Scheffer, M., Carpenter, S. R., Lenton, T. M., et al., "Anticipating critical transitions", Science, 338, 344-348 (2012).
[13] Scheffer, M., Bascompte, J., Brock, W. A., et al., "Early-warning signals for critical transitions", Nature, 461, 53-59 (2009).
[14] Moghadam, N. N., Nazarimehr, F., Jafari, S., et al., "Studying the performance of critical slowing down indicators in a biological system with a period-doubling route to chaos", Physica A, 544, 123396 (2020).
[15] Dakos, V., Carpenter, S. R., van Nes, E. H., et al., "Resilience indicators: prospects and limitations for early warnings of regime shifts", Philos. Trans. R. Soc. B, 370, 20130263 (2015).
[16] Dakos, V., Carpenter, S. R., Brock, W. A., et al., "Methods for detecting early warnings of critical transitions in time series illustrated using simulated ecological data", PLoS One, 7, e41010 (2012).
[17] Nazarimehr, F., Ghaffari, A., Jafari, S., et al., "Sparse Recovery and Dictionary Learning to Identify the Nonlinear Dynamical Systems: One Step Toward Finding Bifurcation Points in Real Systems", Int. J. Bifurcation Chaos, 29, 1950030 (2019).
[18] Nazarimehr, F., Jafari, S., Golpayegani, S. M. R. H., et al., "Can Lyapunov exponent predict critical transitions in biological systems?", Nonlinear Dyn., 88, 1493-1500 (2017).
[19] Nazarimehr, F., Jafari, S., Golpayegani, S. M. R. H., et al., "Predicting tipping points of dynamical systems during a period-doubling route to chaos", Chaos, 28, 073102 (2018).
[20] Olde Rikkert, M. G., Dakos, V., Buchman, T. G., et al., "Slowing down of recovery as generic risk marker for acute severity transitions in chronic diseases", Crit. Care Med., 44, 601-606 (2016).
[21] Scheffer, M., Bolhuis, J. E., Borsboom, D., et al., "Quantifying resilience of humans and other animals", Proc. Natl. Acad. Sci. U.S.A., 115, 11883-11890 (2018).
[22] Nazarimehr, F., Golpayegani, S. M. R. H. and Hatef, B., "Does the onset of epileptic seizure start from a bifurcation point?", Eur. Phys. J. Spec. Top., 227, 697-705 (2018).
[23] Wichers, M., Groot, P. C., Psychosystems, E., et al., "Critical slowing down as a personalized early warning signal for depression", Psychother. Psychosom., 85, 114-116 (2016).
[24] Gijzel, S. M., van de Leemput, I. A., Scheffer, M., et al., "Dynamical resilience indicators in time series of self-rated health correspond to frailty levels in older adults", J. Gerontol. Ser. A, 72, 991-996 (2017).
[25] Gijzel, S. M., van de Leemput, I. A., Scheffer, M., et al., "Dynamical indicators of resilience in postural balance time series are related to successful aging in high-functioning older adults", J. Gerontol. Ser. A, 74, 1119-1126 (2019).
[26] Le, V.-V., Mitiku, T., Sungar, G., et al., "The blood pressure response to dynamic exercise testing: a systematic review", Prog. Cardiovasc. Dis., 51, 135-160 (2008).
[27] Saal, D., Thijs, R. and Van Dijk, J., "Tilt table testing in neurology and clinical neurophysiology", Clin. Neurophysiol., 127, 1022-1030 (2016).
[28] Carpenter, S. R. and Brock, W. A., "Rising variance: a leading indicator of ecological transition", Ecol. Lett., 9, 311-318 (2006).
[29] Qi, J. and Yang, H., "Hurst exponents for short time series", Phys. Rev. E, 84, 066114 (2011).
[30] Grassberger, P. and Procaccia, I., "Characterization of strange attractors", Phys. Rev. Lett. , 50, 346-349 (1983).
[31] Biggs, R., Carpenter, S. R. and Brock, W. A., "Turning back from the brink: detecting an impending regime shift in time to avert it", Proc. Natl. Acad. Sci. U.S.A., 106, 826-831 (2009).
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