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Identifying and evaluating functionally connected regions in the brain has become a challenging problem to solve in many studies of neurological and psychiatric disorders. In particular, functional connectivity of brain mechanisms underlying disturbed cognition in depression is still not well understood in current neuroscience research. Based on the Stroop paradigm, specifically, the face-word Stroop...
Users of BCI systems are always encouraged to develop and maintain the most discriminable brain signal features that the BCI employs to decipher their intent. Instead of training users to develop new skills or strategies allwoing the users best control their brain signals by rewarding better performance with appropiate feedback, this paper exploited to augment driven neuroelectic responses to externally...
Simultaneous EEG/fMRI is a new technique which can record the EEG and fMRI signal currently. By using this new method people expect to obtain both high temporal and spatial resolution of brain activity. Resting state, which is referred to the brain state under no task conditions, has been one of the focuses of the neuroscience research field. Recently researchers have found the resting state is well...
Over the past decade, many laboratories have begun to explore brain-computer interface (BCI) technology as a radically new communication option. BCI can help users send messages and commands to the external world without using their brain's normal output channels or muscles. The central element in each BCI system is to find a reliable method to detect the specific feature patterns extracted from the...
Event related potential (ERP) is a kind of cognitive electroencephalogram (EEG) signal, which are directly related with cognitive task and average across EEG. However, the plentiful oscillatory activities evoked by various stimuli as well modulated by different cognitive tasks or behavioral events will be attenuated in the course of average. With respect to every EEG trials caused by the same stimulus,...
A novel method is introduced to detect and estimate the P300 and other components in the applications of Brain Computer Interface, where the automatically detection of P300 from single-trial EEGs is the key problem. Recent research work has demonstrated that the amplitudes and latencies of the event-related potentials (ERPs) vary from trial to trial, the features of P300 is unstable and make the detection...
Classic coherence analysis can detect coordination of EEG rhythms between brain areas. However, it could not reflect the dynamic properties changing with time. Time-varying coherence analysis is a method developed on base of classic coherence analysis and signal's joint time-frequency representations in recent years. It was used to extract transient characteristics of the interactions among brain...
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