Sinem Burcu Erdogan

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Functional near infrared spectroscopy (fNIRS) is a promising method for monitoring cerebral hemodynamics with a wide range of clinical applications. fNIRS signals are contaminated with systemic physiological interferences from both the brain and superficial tissues, resulting in a poor estimation of the task related neuronal activation. In this study, we(More)
Blood-oxygen-level dependent (BOLD) signals are widely used in functional magnetic resonance imaging (fMRI) as a proxy measure of brain activation. However, because these signals are blood-related, they are also influenced by other physiological processes. This is especially true in resting state fMRI, during which no experimental stimulation occurs.(More)
Resting state functional connectivity analysis is a widely used method for mapping intrinsic functional organization of the brain. Global signal regression (GSR) is commonly employed for removing systemic global variance from resting state BOLD-fMRI data; however, recent studies have demonstrated that GSR may introduce spurious negative correlations within(More)
In this study, haemodynamic response strength during motor imagery and executive motor tasks are investigated through a general linear model using functional near infrared spectroscopy (fNIRS) data to discriminate neural correlation of right and left hand movement. A 16-channel fNIRS system is used over the prefrontal cortex during motor imagery and motor(More)
Functional magnetic resonance imaging (fMRI) is a popular brain imaging modality with a wide range of use in clinical research. A major problem with fMRI signals is the presence of systemic physiological fluctuations in the low frequency range (<0.15 Hz), which significantly lowers detection power for task induced hemodynamic responses to neuronal(More)
Understanding the nature of the link between neuronal activity and BOLD signal plays a crucial role i) for improving the interpretability of BOLD images and ii) on the design of more realistic models for the integration of EEG and fMRI. The aim of this study is to investigate the neural mechanism underlying hemodynamic behavior in a series of visual(More)
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