Long-term correlation of the electrocorticogram as a bioindicator of brain exposure to ionizing radiation
Braz. j. med. biol. res
; 48(10): 915-922, Oct. 2015. ilus
Article
en En
| LILACS
| ID: lil-761596
Biblioteca responsable:
BR1.1
ABSTRACT
Understanding the effects of radiation and its possible influence on the nervous system are of great clinical interest. However, there have been few electrophysiological studies on brain activity after exposure to ionizing radiation (IR). A new methodological approach regarding the assessment of the possible effects of IR on brain activity is the use of linear and nonlinear mathematical methods in the analysis of complex time series, such as brain oscillations measured using the electrocorticogram (ECoG). The objective of this study was to use linear and nonlinear mathematical methods as biomarkers of gamma radiation regarding cortical electrical activity. Adult Wistar rats were divided into 3 groups 1 control and 2 irradiated groups, evaluated at 24 h (IR24) and 90 days (IR90) after exposure to 18 Gy of gamma radiation from a cobalt-60 radiotherapy source. The ECoG was analyzed using power spectrum methods for the calculation of the power of delta, theta, alpha and beta rhythms and by means of the α-exponent of the detrended fluctuation analysis (DFA). Using both mathematical methods it was possible to identify changes in the ECoG, and to identify significant changes in the pattern of the recording at 24 h after irradiation. Some of these changes were persistent at 90 days after exposure to IR. In particular, the theta wave using the two methods showed higher sensitivity than other waves, suggesting that it is a possible biomarker of exposure to IR.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
LILACS
Asunto principal:
Traumatismos por Radiación
/
Radiación Ionizante
/
Corteza Cerebral
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Electrocorticografía
/
Rayos gamma
Tipo de estudio:
Prognostic_studies
Límite:
Animals
Idioma:
En
Revista:
Braz. j. med. biol. res
Asunto de la revista:
BIOLOGIA
/
MEDICINA
Año:
2015
Tipo del documento:
Article
País de afiliación:
Brasil
Pais de publicación:
BR
/
BRASIL
/
BRASILE
/
BRAZIL
/
BRESIL