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Most brain disorders including Alzheimer's disease (AD) are related to alterations in the normal brain network organization and function. Exploring these network alterations using non-invasive and easy to use technique is a topic of great interest. In this paper, we collected EEG resting-state data from AD patients and healthy control subjects. Functional connectivity between scalp EEG signals was...
Diffusion magnetic resonance imaging (dMRI) and resting state functional MRI (RS-fMRI) provide two complementary views of brain circuitry. dMRI facilitates the estimation of anatomical connectivity (AC) through fiber tractography, while RS-fMRI enables the estimation of functional connectivity (FC) based on temporal signal correlations between different brain areas. Recently, there is a methodological...
Knowledge about the intrinsic functional architecture of the human brain has been greatly expanded by the study of the spontaneous fluctuations observed during the resting-state. Recently, there has been a surge of interest in resting state functional connectivity (RSFC) which has been used to identify large-scale brain networks including the default-mode network (DMN). When these results are thresholded...
This paper describes a novel approach to estimate the consistency of global functional connectivity. We apply kernel regression methods, kernel ridge regression (KRR) and support vector regression (SVR), to predict the time-series from a target voxel using voxels in the rest of the brain as features. A correlation coefficient, obtained by cross-validation, was used to define the consistency of global...
Parkinson's disease (PD) is a progressive neurological disorder characterized by tremor, rigidity, and slowness of movements. Determining changes of spontaneous activity and connectivity of the brain is a critical step towards treatment of PD patients. Resting State functional Magnetic Resonance Imaging (RS-fMRI) is a non-invasive method that we use in this work to investigate changes of default mode...
Recent resting-state fMRI studies have suggested that inter-regional functional connectivity shows a small-world topology combined with a high level of global connectivity, which indicates an organization of brain in highly clustered sub-networks. However, little is known about the visual-activating functional connectivity in the human brain. In this study, we derive the brain functional networks...
The default mode network (DMN) has been previously identified as a set of brain regions activated during internally directed cognition. The objective of this study was to investigate patterns of brain activation during switching between a goal-directed task and a rest period obtained from clinical functional magnetic resonance imaging (fMRI) paradigms in complex partial seizures (CPS) and age-matched...
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