DocumentCode :
3248870
Title :
Hemodynamic response function in temporal lobe epilepsy with interictal regional slow wave: An EEG-fMRI study
Author :
Xue, Kaiqing ; Luo, Cheng ; Zhiping Yao ; Yao, Dezhong
Author_Institution :
Key Lab. for Neuro Inf. of Minist. of Educ., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2010
fDate :
10-13 June 2010
Firstpage :
30
Lastpage :
33
Abstract :
The hemodynamic response function (HRF) describes the dynamic process of the blood oxygen level dependent (BOLD) signal evoked by a very short stimulus of unit intensity. Understanding HRF is a key issue for exploring the underlying dynamics of nervous system activation. Some researches suggested that the shape of HRF varied with different brain regions and different subjects, even at different time point in the same brain region of a subject. In this work, epilepsy discharges were adopted as markers of short stimuli, and then we use EEG-fMRI method to investigate HRF in temporal lobe epilepsy with interictal regional slow wave. Five patients with idiopathic temporal lobe epilepsy were enrolled in this study, the peak delay and amplitude of the estimated HRF was compared with Gamma, Glover and the SPM canonical HRF, and the results show that the delay of the estimated HRF is different from either one of the three theoretical model, thus further study on both theoretical model and real data estimation is needed.
Keywords :
biomedical MRI; blood; electroencephalography; haemodynamics; medical image processing; neurophysiology; oxygen; BOLD signal; EEG; Gamma HRF; Glover HRF; O2; SPM canonical HRF; blood oxygen level dependent; electroencephalography; epilepsy discharges; fMRI; functional magnetic resonance imaging; hemodynamic response function; interictal regional slow wave; nervous system activation; temporal lobe epilepsy; Amplitude estimation; Blood; Delay estimation; Epilepsy; Hemodynamics; Nervous system; Scanning probe microscopy; Shape; Signal processing; Temporal lobe;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Medical Image Analysis and Clinical Applications (MIACA), 2010 International Conference on
Conference_Location :
Guangdong
Print_ISBN :
978-1-4244-8011-1
Type :
conf
DOI :
10.1109/MIACA.2010.5528393
Filename :
5528393
Link To Document :
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