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The pathological status of epilepsy can be revealed by the cerebral functional connectivity analysis. The majority of investigations in this field focused on the functional magnetic resonance imaging (fMRI). In consideration of the high temporal resolution of electroencephalogram (EEG) signals, a causality analysis based on the partial directed coherence (PDC) algorithms was applied to explore the...
Reaching is one of the fundamental tasks in daily life thus the neural processing of such a task will benefit brain computer interface (BCI) development. Even the simplest reaching task results from a movement planning phase as well as a movement execution phase. To facilitate the neural decoding of human reaching, brain activity in both movement planning and execution phases should be investigated...
Near-infrared spectroscopy (NIRS) is a state-of-the-art non-invasive modality that measures changes in hemoglobin concentrations during tasks. More and more researches tried using NIRS as signal acquisition tool for brain-computer interface (BCI). In this paper, we conducted a study to test the feasibility of using single channel fNIRS in the building of a BCI system and whether it is possible to...
This study explored the phase synchronization in young, old adults, and old cognitively declined adults using 2 minutes baseline resting EEG data. Sixteen young students recruited from shanghai university and eighteen elders recruited from a community in Shanghai, including nine old adults and nine old cognitively declined adults, participated in our experiment. The global phase synchrony index was...
With shorter calibration times and higher information transfer rates, steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) have been studied most activity in recent years. Target identification is the ongoing core task in BCI researches, and plays a significant role in practical applications. In order to improve the performance of SSVEP-based BCI system, we proposed...
For insight into the laws of brain functional networks in the elder with different MMSE scores, 20 elders participated in our Opera experience task. We recorded their EEG at no-task and eyes-closed conditions. The elderly subjects were divided into high score group (HSG) and low score group (LSG) according to the MMSE score. The partially oriented coherent (PDC) values were computed separately in...
Electroencephalography (EEG) is the recording of electrical activities generated by nerve cells in the cerebral cortex. As the only non-invasive method for measuring brain activities from human scalp, it has been widely used in the area of medical diagnosis, neuroscience research, commercial application, etc. Most of the existing EEG acquisition systems, which are usually comprised of analog switches,...
Effective user training could help us to improve the discrimination performance of our intention in brain computer interface (BCI). This paper aims to differentiate users left or right hand motor imagery (MI) tasks with different scenarios in 3D virtual environment, as non-object-directed (NOD) scenario, static-object-directed (SOD) scenario and dynamic-object-directed (DOD) scenario respectively...
Phase synchrony among cortical brain regions is a key aspect of the working memory process. In this study we utilized phase synchrony analysis of EEG signals to construct brain networks and investigate the rest and working memory states of the brain. The maintenance period of working memory demonstrated higher global and local phase synchronization compared to the rest condition in the theta, alpha...
The study was to compare the characteristics of event-related potentials (ERPs) and brain topographic maps in normal group and cochlear implant (CI) group six months after device ‘switch on’. Results showed more negative N1 component by standard and target stimuli and lower P2 amplitudes were observed for the CI group. The amplitudes of MMN component were a little smaller than those of normal group...
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