Using nonlinear dynamic metric tools for characterizing brain structures
Global brain dynamics are characterized in terms of electrical activity using nonlinear dynamic metric tools. The brain's spontaneous electrical activity is not a simple noise but an active signal reflecting causal responses from hidden events and sources during sensory and cognitive processing...
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1997
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| Acceso en línea: | Registro en Scopus DOI Handle Registro en la Biblioteca Digital |
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| LEADER | 10566caa a22010457a 4500 | ||
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| 001 | PAPER-3239 | ||
| 003 | AR-BaUEN | ||
| 005 | 20230607131848.0 | ||
| 008 | 190411s1997 xx ||||fo|||| 00| 0 eng|d | ||
| 024 | 7 | |2 scopus |a 2-s2.0-0031194082 | |
| 040 | |a Scopus |b spa |c AR-BaUEN |d AR-BaUEN | ||
| 030 | |a IEMBD | ||
| 100 | 1 | |a Blanco, S. | |
| 245 | 1 | 0 | |a Using nonlinear dynamic metric tools for characterizing brain structures |
| 260 | |c 1997 | ||
| 270 | 1 | 0 | |m Rosso, O.A.; Instituto de Calculo, FCEyN, Universidad de Buenos Aires, Ciudad Universitaria, 1428 Buenos Aires, Argentina |
| 506 | |2 openaire |e Política editorial | ||
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| 504 | |a Blanco, S., Garcia, H., Quian Quiroga, R., Romanelli, L., Rosso, O.A., Stationarity of the EEG series (1995) IEEE Eng. in Med. and Biol., 14, p. 395 | ||
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| 520 | 3 | |a Global brain dynamics are characterized in terms of electrical activity using nonlinear dynamic metric tools. The brain's spontaneous electrical activity is not a simple noise but an active signal reflecting causal responses from hidden events and sources during sensory and cognitive processing of the brain. The time evolution of the system is described by a low-dimensional deterministic dynamics. The nonlinear dynamic metric invariants are dependent on brain structure as well as brain activity. |l eng | |
| 536 | |a Detalles de la financiación: Consejo Nacional de Investigaciones Científicas y Técnicas | ||
| 536 | |a Detalles de la financiación: Universidad de Buenos Aires | ||
| 536 | |a Detalles de la financiación: National Research Council | ||
| 536 | |a Detalles de la financiación: Consejo Nacional de Investigaciones Científicas y Técnicas | ||
| 536 | |a Detalles de la financiación: This work was partially supported by the Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET). The authors wish to thank Pablo Salgado and Rodrigo Quian Quiroga for useful comments on the results of this article. | ||
| 536 | |a Detalles de la financiación: Susana A. Blanco was born in Buenos Aires, Argentina, on January 17, 1952. She received the M.S. and Ph.D. degree in Physics from University of Buenos Aires, Argentina, in 1981 and 1989 respectively. Her research interests are in the field of nonlinear dynamical systems and their applications to biological and medical sciences. Dr. Blanco is a researcher of the National Research Council (CONICET) of Argentina and co-head of the Master on Medical Physics of the University of Buenos Aires, Argentina. E-mail: blanco @ulises.ic.fcen.uba.ar Alejandra Figliola was born in Buenos Aires, Argentina, on November 26, 1957. She received the M.S. and Ph.D. degree in Physics from University of Buenos Aires, Argentina, in 1983 and 1990 respectively. Her research interests are in the field of nonlinear dynamical systems and wavelet transform and its applications to biological, meteorological, and medical sciences. Dr. Figliola is a researcher of the National Research Council (CONICET) of Argentina and Senior Assistant, Department of Physics, of the University of Buenos Aires, Argentina. E-mail: fi-gliola@ulises.ic.fcen.uba.ar Silvia Kochen was born in Buenos Ai-res, Argentina, on February 2, 1954. She received the M.D. in Medicine and M.D in Neurology from the University of Buenos Aires, Argentinain 1977 and 1980 respectively. She held a fellowship at the College des Hopitaux de Paris, INSERM Unite 97 de recherches en Epilepsie, Paris, France, for training in epilepsy from 1981-1982. Her research interests include clinical neurophysiology, epilepsy, and quantified EEG signals in epilepsy. Currently, Dr. Kochen is head of the Center of Epilepsy, Hospital Ramos Mejia, Buenos Aires, Argentina, and a researcher of the National Research Council (CONICET) of Argentina. | ||
| 593 | |a Instituto de Calculo, FCEyN, Universidad de Buenos Aires, Argentina | ||
| 593 | |a Centro Municipal de Epilepsia, Division Neurologia, Universidad de Buenos Aires, Argentina | ||
| 593 | |a National Research Council, Argentina | ||
| 593 | |a Sci. Adviser Master on Med. Phys., University of Buenos Aires, Argentina | ||
| 593 | |a Instituto de Calculo, FCEyN, Ciuidad Universitaria, 1428 Buenos Aires, Argentina | ||
| 690 | 1 | 0 | |a NONLINEAR DYNAMIC METRIC TOOLS |
| 690 | 1 | 0 | |a ALGORITHMS |
| 690 | 1 | 0 | |a CORRELATION METHODS |
| 690 | 1 | 0 | |a ELECTROENCEPHALOGRAPHY |
| 690 | 1 | 0 | |a LYAPUNOV METHODS |
| 690 | 1 | 0 | |a SIGNAL PROCESSING |
| 690 | 1 | 0 | |a BRAIN |
| 690 | 1 | 0 | |a ALGORITHM |
| 690 | 1 | 0 | |a BRAIN |
| 690 | 1 | 0 | |a ELECTROENCEPHALOGRAM |
| 690 | 1 | 0 | |a NONLINEAR SYSTEM |
| 690 | 1 | 0 | |a REVIEW |
| 690 | 1 | 0 | |a ALGORITHMS |
| 690 | 1 | 0 | |a BRAIN |
| 690 | 1 | 0 | |a ELECTROENCEPHALOGRAPHY |
| 690 | 1 | 0 | |a EPILEPSY |
| 690 | 1 | 0 | |a HUMANS |
| 690 | 1 | 0 | |a MODELS, NEUROLOGICAL |
| 690 | 1 | 0 | |a NONLINEAR DYNAMICS |
| 700 | 1 | |a Figliola, A. | |
| 700 | 1 | |a Kochen, S. | |
| 700 | 1 | |a Rosso, O.A. | |
| 773 | 0 | |d 1997 |g v. 16 |h pp. 83-92 |k n. 4 |p IEEE ENG. MED. BIOL. MAG. |x 07395175 |w (AR-BaUEN)CENRE-4979 |t IEEE Engineering in Medicine and Biology Magazine | |
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| 856 | 4 | 0 | |u https://hdl.handle.net/20.500.12110/paper_07395175_v16_n4_p83_Blanco |y Handle |
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