TY  - JOUR
AU  - Blesić, Suzana
AU  - Marić, J.
AU  - Dragašević, Nataša
AU  - Milanović, Slađan
AU  - Kostić, Vladimir S.
AU  - Ljubisavljević, Miloš
PY  - 2011
UR  - http://rimi.imi.bg.ac.rs/handle/123456789/323
AB  - Recent evidence suggests that the dynamic-scaling behavior of the time-series of signals extracted from separate peaks of tremor spectra may reveal existence of multiple independent sources of tremor. Here, we have studied dynamic characteristics of the time-series of hand tremor movements in essential tremor (ET) patients using the detrended fluctuation analysis method. Hand accelerometry was recorded with (500 g) and without weight loading under postural conditions in 25 ET patients and 20 normal subjects. The time-series comprising peak-to-peak (PtP) intervals were extracted from regions around the first three main frequency components of power spectra (PwS) of the recorded tremors. The data were compared between the load and no-load condition on dominant (related to tremor severity) and non-dominant tremor side and with the normal (physiological) oscillations in healthy subjects. Our analysis shows that, in ET, the dynamic characteristics of the main frequency component of recorded tremors exhibit scaling behavior. Furthermore, they show that the two main components of ET tremor frequency spectra, otherwise indistinguishable without load, become significantly different after inertial loading and that they differ between the tremor sides (related to tremor severity). These results show that scaling, a time-domain analysis, helps revealing tremor features previously not revealed by frequency-domain analysis and suggest that distinct oscillatory central circuits may generate the tremor in ET patients.
PB  - Springer Wien, Wien
T2  - Journal of Neural Transmission
T1  - Scaling analysis of bilateral hand tremor movements in essential tremor patients
EP  - 1234
IS  - 8
SP  - 1227
VL  - 118
DO  - 10.1007/s00702-011-0581-1
ER  - 

@article{
author = "Blesić, Suzana and Marić, J. and Dragašević, Nataša and Milanović, Slađan and Kostić, Vladimir S. and Ljubisavljević, Miloš",
year = "2011",
abstract = "Recent evidence suggests that the dynamic-scaling behavior of the time-series of signals extracted from separate peaks of tremor spectra may reveal existence of multiple independent sources of tremor. Here, we have studied dynamic characteristics of the time-series of hand tremor movements in essential tremor (ET) patients using the detrended fluctuation analysis method. Hand accelerometry was recorded with (500 g) and without weight loading under postural conditions in 25 ET patients and 20 normal subjects. The time-series comprising peak-to-peak (PtP) intervals were extracted from regions around the first three main frequency components of power spectra (PwS) of the recorded tremors. The data were compared between the load and no-load condition on dominant (related to tremor severity) and non-dominant tremor side and with the normal (physiological) oscillations in healthy subjects. Our analysis shows that, in ET, the dynamic characteristics of the main frequency component of recorded tremors exhibit scaling behavior. Furthermore, they show that the two main components of ET tremor frequency spectra, otherwise indistinguishable without load, become significantly different after inertial loading and that they differ between the tremor sides (related to tremor severity). These results show that scaling, a time-domain analysis, helps revealing tremor features previously not revealed by frequency-domain analysis and suggest that distinct oscillatory central circuits may generate the tremor in ET patients.",
publisher = "Springer Wien, Wien",
journal = "Journal of Neural Transmission",
title = "Scaling analysis of bilateral hand tremor movements in essential tremor patients",
pages = "1234-1227",
number = "8",
volume = "118",
doi = "10.1007/s00702-011-0581-1"
}

Blesić, S., Marić, J., Dragašević, N., Milanović, S., Kostić, V. S.,& Ljubisavljević, M.. (2011). Scaling analysis of bilateral hand tremor movements in essential tremor patients. in Journal of Neural Transmission
Springer Wien, Wien., 118(8), 1227-1234.
https://doi.org/10.1007/s00702-011-0581-1

Blesić S, Marić J, Dragašević N, Milanović S, Kostić VS, Ljubisavljević M. Scaling analysis of bilateral hand tremor movements in essential tremor patients. in Journal of Neural Transmission. 2011;118(8):1227-1234.
doi:10.1007/s00702-011-0581-1 .

Blesić, Suzana, Marić, J., Dragašević, Nataša, Milanović, Slađan, Kostić, Vladimir S., Ljubisavljević, Miloš, "Scaling analysis of bilateral hand tremor movements in essential tremor patients" in Journal of Neural Transmission, 118, no. 8 (2011):1227-1234,
https://doi.org/10.1007/s00702-011-0581-1 . .

TY  - JOUR
AU  - Stratimirović, Đorđe
AU  - Milošević, S.
AU  - Blesić, Suzana
AU  - Ljubisavljević, Miloš
PY  - 2007
UR  - http://rimi.imi.bg.ac.rs/handle/123456789/180
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
EP  - 706
IS  - 2
SP  - 699
VL  - 374
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",
pages = "706-699",
number = "2",
volume = "374",
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 . .