Using nonlinear dynamic metric tools for characterizing brain structures

被引：13

作者：

Blanco, S

Figliola, A

Kochen, S

Rosso, OA

机构：

[1] UNIV BUENOS AIRES,FAC CIENCIAS EXACTAS & NAT,INST CALCULO,RA-1428 BUENOS AIRES,DF,ARGENTINA

[2] UNIV BUENOS AIRES,HOSP RAMOS MEJIA,DIV NEUROL,CTR MUNICIPAL EPILEPSIA,BUENOS AIRES,DF,ARGENTINA

来源：

IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE | 1997年 / 16卷 / 04期

关键词：

D O I：

10.1109/51.603652

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

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.

引用

页码：83 / 92

页数：10

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