TY  - JOUR
AU  - Blesić, Suzana
AU  - Stratimirović, Đorđe
AU  - Milošević, S.
AU  - Marić, J.
AU  - Kostić, V.
AU  - Ljubisavljević, M.
PY  - 2011
UR  - https://smile.stomf.bg.ac.rs/handle/123456789/1622
AB  - In this paper we have used the Wavelet Transform (WT) and the Detrended Fluctuation Analysis (DFA) methods to analyze hand tremor movements in essential tremor (ET), in two different recording conditions (before and after the addition of wrist-cuff load). We have analyzed the time series comprised of peak-to-peak (PtP) intervals, extracted from regions around the first three main frequency components of the power spectra (PwS) of the recorded tremors, in order to substantiate results related to the effects of load on ET, to distinguish between multiple sources of ET, and to separate the influence of peripheral factors on ET. Our results show that, in ET, the dynamical characteristics, that is, values of respective scaling exponents, of the main frequency component of recorded tremors change after the addition of load. Our results also show that in all the observed cases the scaling behavior of the calculated functions changes as well the calculated WT scalegrams and DFA functions display a shift in the position of the crossover when the load is added. We conclude that the difference in behavior of the WT and DFA functions between different conditions in ET could be associated with the expected pathology in ET, or with some additional mechanism that controls movements in ET patients, and causes the observed changes in scaling behavior.
PB  - Elsevier, Amsterdam
T2  - Physica A-Statistical Mechanics & its Applications
T1  - Scaling analysis of the effects of load on hand tremor movements in essential tremor
VL  - 390
IS  - 10
SP  - 1741
EP  - 1746
DO  - 10.1016/j.physa.2010.12.037
ER  - 

@article{
author = "Blesić, Suzana and Stratimirović, Đorđe and Milošević, S. and Marić, J. and Kostić, V. and Ljubisavljević, M.",
year = "2011",
abstract = "In this paper we have used the Wavelet Transform (WT) and the Detrended Fluctuation Analysis (DFA) methods to analyze hand tremor movements in essential tremor (ET), in two different recording conditions (before and after the addition of wrist-cuff load). We have analyzed the time series comprised of peak-to-peak (PtP) intervals, extracted from regions around the first three main frequency components of the power spectra (PwS) of the recorded tremors, in order to substantiate results related to the effects of load on ET, to distinguish between multiple sources of ET, and to separate the influence of peripheral factors on ET. Our results show that, in ET, the dynamical characteristics, that is, values of respective scaling exponents, of the main frequency component of recorded tremors change after the addition of load. Our results also show that in all the observed cases the scaling behavior of the calculated functions changes as well the calculated WT scalegrams and DFA functions display a shift in the position of the crossover when the load is added. We conclude that the difference in behavior of the WT and DFA functions between different conditions in ET could be associated with the expected pathology in ET, or with some additional mechanism that controls movements in ET patients, and causes the observed changes in scaling behavior.",
publisher = "Elsevier, Amsterdam",
journal = "Physica A-Statistical Mechanics & its Applications",
title = "Scaling analysis of the effects of load on hand tremor movements in essential tremor",
volume = "390",
number = "10",
pages = "1741-1746",
doi = "10.1016/j.physa.2010.12.037"
}

Blesić, S., Stratimirović, Đ., Milošević, S., Marić, J., Kostić, V.,& Ljubisavljević, M.. (2011). Scaling analysis of the effects of load on hand tremor movements in essential tremor. in Physica A-Statistical Mechanics & its Applications
Elsevier, Amsterdam., 390(10), 1741-1746.
https://doi.org/10.1016/j.physa.2010.12.037

Blesić S, Stratimirović Đ, Milošević S, Marić J, Kostić V, Ljubisavljević M. Scaling analysis of the effects of load on hand tremor movements in essential tremor. in Physica A-Statistical Mechanics & its Applications. 2011;390(10):1741-1746.
doi:10.1016/j.physa.2010.12.037 .

Blesić, Suzana, Stratimirović, Đorđe, Milošević, S., Marić, J., Kostić, V., Ljubisavljević, M., "Scaling analysis of the effects of load on hand tremor movements in essential tremor" in Physica A-Statistical Mechanics & its Applications, 390, no. 10 (2011):1741-1746,
https://doi.org/10.1016/j.physa.2010.12.037 . .

TY  - JOUR
AU  - Stratimirović, Đorđe
AU  - Milošević, S.
AU  - Blesić, Suzana
AU  - Ljubisavljević, Miloš
PY  - 2007
UR  - https://smile.stomf.bg.ac.rs/handle/123456789/1337
AB  - We have studied the stimulated discharge dynamics of fusimotor neurons by applying the wavelet transform technique and by adopting that the neuronal discharge dynamics is manifested by the random time series of interspike intervals. We found two different power-law type behaviors along interspike intervals (ISI) time scale (which implies existence of two different types of neuronal noise), which are separated by a crossover region. Our results reveal that complex neuronal dynamics, in the presence of external stimulation, is manifested with long-range correlated noise in the region before the crossover, on the ISI time scale.
PB  - Elsevier Science Bv, Amsterdam
T2  - Physica A-Statistical Mechanics & its Applications
T1  - Wavelet transform analysis of time series generated by the stimulated neuronal activity
VL  - 374
IS  - 2
SP  - 699
EP  - 706
DO  - 10.1016/j.physa.2006.08.075
ER  - 

@article{
author = "Stratimirović, Đorđe and Milošević, S. and Blesić, Suzana and Ljubisavljević, Miloš",
year = "2007",
abstract = "We have studied the stimulated discharge dynamics of fusimotor neurons by applying the wavelet transform technique and by adopting that the neuronal discharge dynamics is manifested by the random time series of interspike intervals. We found two different power-law type behaviors along interspike intervals (ISI) time scale (which implies existence of two different types of neuronal noise), which are separated by a crossover region. Our results reveal that complex neuronal dynamics, in the presence of external stimulation, is manifested with long-range correlated noise in the region before the crossover, on the ISI time scale.",
publisher = "Elsevier Science Bv, Amsterdam",
journal = "Physica A-Statistical Mechanics & its Applications",
title = "Wavelet transform analysis of time series generated by the stimulated neuronal activity",
volume = "374",
number = "2",
pages = "699-706",
doi = "10.1016/j.physa.2006.08.075"
}

Stratimirović, Đ., Milošević, S., Blesić, S.,& Ljubisavljević, M.. (2007). Wavelet transform analysis of time series generated by the stimulated neuronal activity. in Physica A-Statistical Mechanics & its Applications
Elsevier Science Bv, Amsterdam., 374(2), 699-706.
https://doi.org/10.1016/j.physa.2006.08.075

Stratimirović Đ, Milošević S, Blesić S, Ljubisavljević M. Wavelet transform analysis of time series generated by the stimulated neuronal activity. in Physica A-Statistical Mechanics & its Applications. 2007;374(2):699-706.
doi:10.1016/j.physa.2006.08.075 .

Stratimirović, Đorđe, Milošević, S., Blesić, Suzana, Ljubisavljević, Miloš, "Wavelet transform analysis of time series generated by the stimulated neuronal activity" in Physica A-Statistical Mechanics & its Applications, 374, no. 2 (2007):699-706,
https://doi.org/10.1016/j.physa.2006.08.075 . .

TY  - JOUR
AU  - Blesić, Suzana
AU  - Stratimirović, Đorđe
AU  - Milošević, S.
AU  - Ljubisavljević, Miloš
PY  - 2005
UR  - https://smile.stomf.bg.ac.rs/handle/123456789/1267
AB  - We have studied the discharge dynamics of dorsal horn neurons by applying the detrended fluctuation analysis and the wavelet transform technique. We have adopted that the neuronal discharge dynamics is manifested by the random time series of interspike intervals. In all cases studied, we found two different power-law type behaviors across interspike intervals enumeration scale, that are separated by crossover regions (which implies existence of two different types of neuronal noise). Our results reveal that complex neuronal dynamics may change in the presence of external stimulation, manifested by changing of the noise characteristics that appear before crossover.
PB  - New York Acad Sciences, New York
T2  - Biophysics from Molecules to Brain: in Memory of Radoslav K. Andjus
T1  - Detecting long-range correlations in time series of dorsal horn neuron discharges
VL  - 1048
SP  - 385
EP  - 391
DO  - 10.1196/annals.1342.046
ER  - 

@article{
author = "Blesić, Suzana and Stratimirović, Đorđe and Milošević, S. and Ljubisavljević, Miloš",
year = "2005",
abstract = "We have studied the discharge dynamics of dorsal horn neurons by applying the detrended fluctuation analysis and the wavelet transform technique. We have adopted that the neuronal discharge dynamics is manifested by the random time series of interspike intervals. In all cases studied, we found two different power-law type behaviors across interspike intervals enumeration scale, that are separated by crossover regions (which implies existence of two different types of neuronal noise). Our results reveal that complex neuronal dynamics may change in the presence of external stimulation, manifested by changing of the noise characteristics that appear before crossover.",
publisher = "New York Acad Sciences, New York",
journal = "Biophysics from Molecules to Brain: in Memory of Radoslav K. Andjus",
title = "Detecting long-range correlations in time series of dorsal horn neuron discharges",
volume = "1048",
pages = "385-391",
doi = "10.1196/annals.1342.046"
}

Blesić, S., Stratimirović, Đ., Milošević, S.,& Ljubisavljević, M.. (2005). Detecting long-range correlations in time series of dorsal horn neuron discharges. in Biophysics from Molecules to Brain: in Memory of Radoslav K. Andjus
New York Acad Sciences, New York., 1048, 385-391.
https://doi.org/10.1196/annals.1342.046

Blesić S, Stratimirović Đ, Milošević S, Ljubisavljević M. Detecting long-range correlations in time series of dorsal horn neuron discharges. in Biophysics from Molecules to Brain: in Memory of Radoslav K. Andjus. 2005;1048:385-391.
doi:10.1196/annals.1342.046 .

Blesić, Suzana, Stratimirović, Đorđe, Milošević, S., Ljubisavljević, Miloš, "Detecting long-range correlations in time series of dorsal horn neuron discharges" in Biophysics from Molecules to Brain: in Memory of Radoslav K. Andjus, 1048 (2005):385-391,
https://doi.org/10.1196/annals.1342.046 . .

TY  - JOUR
AU  - Blesić, Suzana
AU  - Milošević, S.
AU  - Stratimirović, Đorđe
AU  - Ljubisavljević, Miloš
PY  - 2003
UR  - https://smile.stomf.bg.ac.rs/handle/123456789/1191
AB  - We have studied the discharge dynamics of dorsal horn neurons (DHN) by applying the detrended fluctuation analysis (DFA) and the wavelet transform (WT) technique. We have adopted that discharge dynamics is manifested by the random time series of the interspike intervals (ISI), that is, by intervals between two consecutive neuronal electrical activities. In all cases studied, we found two different power-law type behaviors across ISI enumeration scale, that are separated by a crossover region. Our results reveal that complex neuronal dynamics may change in the presence of external stimulation, which is manifested by changing the noise characteristics that appear before the crossover region (the noise after the crossover region is of the 1/f type).
PB  - Elsevier, Amsterdam
T2  - Physica A-Statistical Mechanics & its Applications
T1  - Detecting long-range correlations in time series of neuronal discharges
VL  - 330
IS  - 3-4
SP  - 391
EP  - 399
DO  - 10.1016/j.physa.2003.09.002
ER  - 

@article{
author = "Blesić, Suzana and Milošević, S. and Stratimirović, Đorđe and Ljubisavljević, Miloš",
year = "2003",
abstract = "We have studied the discharge dynamics of dorsal horn neurons (DHN) by applying the detrended fluctuation analysis (DFA) and the wavelet transform (WT) technique. We have adopted that discharge dynamics is manifested by the random time series of the interspike intervals (ISI), that is, by intervals between two consecutive neuronal electrical activities. In all cases studied, we found two different power-law type behaviors across ISI enumeration scale, that are separated by a crossover region. Our results reveal that complex neuronal dynamics may change in the presence of external stimulation, which is manifested by changing the noise characteristics that appear before the crossover region (the noise after the crossover region is of the 1/f type).",
publisher = "Elsevier, Amsterdam",
journal = "Physica A-Statistical Mechanics & its Applications",
title = "Detecting long-range correlations in time series of neuronal discharges",
volume = "330",
number = "3-4",
pages = "391-399",
doi = "10.1016/j.physa.2003.09.002"
}

Blesić, S., Milošević, S., Stratimirović, Đ.,& Ljubisavljević, M.. (2003). Detecting long-range correlations in time series of neuronal discharges. in Physica A-Statistical Mechanics & its Applications
Elsevier, Amsterdam., 330(3-4), 391-399.
https://doi.org/10.1016/j.physa.2003.09.002

Blesić S, Milošević S, Stratimirović Đ, Ljubisavljević M. Detecting long-range correlations in time series of neuronal discharges. in Physica A-Statistical Mechanics & its Applications. 2003;330(3-4):391-399.
doi:10.1016/j.physa.2003.09.002 .

Blesić, Suzana, Milošević, S., Stratimirović, Đorđe, Ljubisavljević, Miloš, "Detecting long-range correlations in time series of neuronal discharges" in Physica A-Statistical Mechanics & its Applications, 330, no. 3-4 (2003):391-399,
https://doi.org/10.1016/j.physa.2003.09.002 . .

TY  - JOUR
AU  - Milošević, S.
AU  - Blesić, Suzana
AU  - Stratimirović, Đorđe
PY  - 2002
UR  - https://smile.stomf.bg.ac.rs/handle/123456789/1136
AB  - We have analyzed spontaneous discharge dynamics of fasimotor neurons, by applying the so-called detrended fluctuation analysis, which is a modification of the random walk model analysis. Besides, we applied the wavelet analysis method to the same problem. By using these methods we have found evidence for the white noise characteristics of the time series generated by the neuron discharges. We concluded that such a discharge. dynamics represents the requisite noisy component for occurrence of the stochastic resonance mechanism in the neural coordination. of muscle spindles. This finding appears to be very intriguing; since it provided for the first time statistical characterization of the neuronal noise.
PB  - Elsevier, Amsterdam
T2  - Physica A-Statistical Mechanics & its Applications
T1  - Beneficial randomness of signals in a neuronal circuit
VL  - 314
IS  - 1-4
SP  - 43
EP  - 52
DO  - 10.1016/S0378-4371(02)01184-6
ER  - 

@article{
author = "Milošević, S. and Blesić, Suzana and Stratimirović, Đorđe",
year = "2002",
abstract = "We have analyzed spontaneous discharge dynamics of fasimotor neurons, by applying the so-called detrended fluctuation analysis, which is a modification of the random walk model analysis. Besides, we applied the wavelet analysis method to the same problem. By using these methods we have found evidence for the white noise characteristics of the time series generated by the neuron discharges. We concluded that such a discharge. dynamics represents the requisite noisy component for occurrence of the stochastic resonance mechanism in the neural coordination. of muscle spindles. This finding appears to be very intriguing; since it provided for the first time statistical characterization of the neuronal noise.",
publisher = "Elsevier, Amsterdam",
journal = "Physica A-Statistical Mechanics & its Applications",
title = "Beneficial randomness of signals in a neuronal circuit",
volume = "314",
number = "1-4",
pages = "43-52",
doi = "10.1016/S0378-4371(02)01184-6"
}

Milošević, S., Blesić, S.,& Stratimirović, Đ.. (2002). Beneficial randomness of signals in a neuronal circuit. in Physica A-Statistical Mechanics & its Applications
Elsevier, Amsterdam., 314(1-4), 43-52.
https://doi.org/10.1016/S0378-4371(02)01184-6

Milošević S, Blesić S, Stratimirović Đ. Beneficial randomness of signals in a neuronal circuit. in Physica A-Statistical Mechanics & its Applications. 2002;314(1-4):43-52.
doi:10.1016/S0378-4371(02)01184-6 .

Milošević, S., Blesić, Suzana, Stratimirović, Đorđe, "Beneficial randomness of signals in a neuronal circuit" in Physica A-Statistical Mechanics & its Applications, 314, no. 1-4 (2002):43-52,
https://doi.org/10.1016/S0378-4371(02)01184-6 . .

TY  - JOUR
AU  - Stratimirović, Đorđe
AU  - Milošević, S.
AU  - Blesić, Suzana
AU  - Ljubisavljević, Miloš
PY  - 2001
UR  - https://smile.stomf.bg.ac.rs/handle/123456789/1132
AB  - We study the interspike intervals (ISI) time series of the spontaneous fusimotor neuron activity by applying the wavelet transform analysis and confirm the existence of the white noise characteristics of the ISI time series. This means that the neuron activity may serve as the requisite noisy component for occurrence of the stochastic resonance mechanism in the neural coordination of muscle spindles. Besides, we apply the multifractal formalism adapted for the wavelet transform time series analysis. Thus, we have established the multifractality of the ISI data and achieved an additional insight into fusimotor discharge dynamics.
PB  - Elsevier, Amsterdam
T2  - Physica A-Statistical Mechanics & its Applications
T1  - Wavelet analysis of discharge dynamics of fusimotor neurons
VL  - 291
IS  - 1-4
SP  - 13
EP  - 23
DO  - 10.1016/S0378-4371(00)00495-7
ER  - 

@article{
author = "Stratimirović, Đorđe and Milošević, S. and Blesić, Suzana and Ljubisavljević, Miloš",
year = "2001",
abstract = "We study the interspike intervals (ISI) time series of the spontaneous fusimotor neuron activity by applying the wavelet transform analysis and confirm the existence of the white noise characteristics of the ISI time series. This means that the neuron activity may serve as the requisite noisy component for occurrence of the stochastic resonance mechanism in the neural coordination of muscle spindles. Besides, we apply the multifractal formalism adapted for the wavelet transform time series analysis. Thus, we have established the multifractality of the ISI data and achieved an additional insight into fusimotor discharge dynamics.",
publisher = "Elsevier, Amsterdam",
journal = "Physica A-Statistical Mechanics & its Applications",
title = "Wavelet analysis of discharge dynamics of fusimotor neurons",
volume = "291",
number = "1-4",
pages = "13-23",
doi = "10.1016/S0378-4371(00)00495-7"
}

Stratimirović, Đ., Milošević, S., Blesić, S.,& Ljubisavljević, M.. (2001). Wavelet analysis of discharge dynamics of fusimotor neurons. in Physica A-Statistical Mechanics & its Applications
Elsevier, Amsterdam., 291(1-4), 13-23.
https://doi.org/10.1016/S0378-4371(00)00495-7

Stratimirović Đ, Milošević S, Blesić S, Ljubisavljević M. Wavelet analysis of discharge dynamics of fusimotor neurons. in Physica A-Statistical Mechanics & its Applications. 2001;291(1-4):13-23.
doi:10.1016/S0378-4371(00)00495-7 .

Stratimirović, Đorđe, Milošević, S., Blesić, Suzana, Ljubisavljević, Miloš, "Wavelet analysis of discharge dynamics of fusimotor neurons" in Physica A-Statistical Mechanics & its Applications, 291, no. 1-4 (2001):13-23,
https://doi.org/10.1016/S0378-4371(00)00495-7 . .