Iniciar sesión
Registrarse
Restablecer contraseña
Publicar y Distribuir
Soluciones de Publicación
Soluciones de Distribución
Temas
Arquitectura y diseño
Artes
Ciencias Sociales
Ciencias de la Información y Bibliotecas, Estudios del Libro
Ciencias de la vida
Ciencias de los materiales
Deporte y tiempo libre
Estudios clásicos y del Cercano Oriente antiguo
Estudios culturales
Estudios judíos
Farmacia
Filosofía
Física
Geociencias
Historia
Informática
Ingeniería
Interés general
Ley
Lingüística y semiótica
Literatura
Matemáticas
Medicina
Música
Negocios y Economía
Química
Química industrial
Teología y religión
Publicaciones
Revistas
Libros
Actas
Editoriales
Blog
Contacto
Buscar
EUR
USD
GBP
Español
English
Deutsch
Polski
Español
Français
Italiano
Carrito
Home
Revistas
Journal of Electrical Bioimpedance
Volumen 7 (2016): Edición 1 (January 2016)
Acceso abierto
Correlation of rheoencephalography and laser Doppler flow: a rat study
Michael Bodo
Michael Bodo
,
Ryan Sheppard
Ryan Sheppard
,
Aaron Hall
Aaron Hall
,
Martin Baruch
Martin Baruch
,
Melissa Laird
Melissa Laird
,
Shravalya Tirumala
Shravalya Tirumala
y
Richard Mahon
Richard Mahon
| 05 dic 2016
Journal of Electrical Bioimpedance
Volumen 7 (2016): Edición 1 (January 2016)
Acerca de este artículo
Artículo anterior
Artículo siguiente
Resumen
Artículo
Figuras y tablas
Referencias
Autores
Artículos en este número
Vista previa
PDF
Cite
Compartir
Article Category:
Articles
Publicado en línea:
05 dic 2016
Páginas:
55 - 58
Recibido:
20 jun 2016
DOI:
https://doi.org/10.5617/jeb.2985
Palabras clave
neuro-monitoring
,
laser Doppler flow
,
rheoencephalogram
,
CO inhalation
,
animal study (rat)
© 2016 Michael Bodo, Ryan Sheppard, Aaron Hall, Martin Baruch, Melissa Laird, Shravalya Tirumala, Richard Mahon, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Fig. 1
Anatomical positions of REG, EEG electrodes and LDF probe are shown implanted in a rat skull (dorsal view). Standard orientation points in rat neurophysiology: bregma and lambda points and sutura between bones.
Fig. 2
Block schematics showing REG and LDF measured during rat CO2 inhalation challenges and data processing of resulting signals stored in a computer (PC). Data were first processed using DataLyser software to process analog signals; numbers generated were then put into an Excel software spread sheet for calculation of percentages of control values, group mean and SD. Next, percent values of REG and LDF were put into a Prism software spreadsheet for calculation of ROC and AUC.
Fig. 3
Impact of CO2 inhalation on LDF flux and REG signals, in real time: CO2 increases were followed by simultaneous increases in LDF flux and REG signal amplitudes. For all traces, Y axis is shown in volts; X axis is shown in seconds. Traces, from top, are REG raw signal; REG proc (processed signal, displayed as a running integral); EKG; Respiration (measured by bioimpedance); LDF flux; inhaled CO2.
Fig. 4
ROC curve of LDF and REG. Area under curve (AUC): 0.8394 with p<0.0001; Std. error: 0.03693; 95 % confidence interval: 0.7670 to 0.9118. Figure and numbers are presented as Prism program shown and calculated from the percent values of REG and LDF signals.