Because of the increasing portability and wearability of noninvasive electrophysiological systems that record and process electrical signals from the human brain, automated systems for assessing changes in user cognitive state, intent, and response to events are of increasing interest. Brain-computer interface (BCI) systems can make use of such knowledge to deliver relevant feedback to the user...

EEG contains a wealth of physiological, psychological and pathological information, EEG signal analysis and processing are either in clinical of some brain disease diagnosis and treatment, or in the cognitive science research fields are very important. According to the basic characteristics of EEG signal, discusses the EEG signal acquisition principle, method and the design train of thought. Pr...

We present a novel framework for characterizing signals in images using techniques from computational algebraic topology. This technique is general enough for dealing with noisy multivariate data including geometric noise. The main tool is persistent homology which can be encoded in persistence diagrams. These are scatter plots of paired local critical values of the signal. One of these diagram...

In recent years, some substantial advances in understanding human (and nonhuman) brain organization have emerged from a relatively unusual approach: the observation of spontaneous activity, and correlated patterns in spontaneous activity, in the "resting" brain. Most commonly, spontaneous neural activity is measured indirectly via fMRI signal in subjects who are lying quietly in the scanner, th...

BACKGROUND We recently showed that the severity of MRI signal abnormalities increases with age in CADASIL, an arteriopathy due to mutations of notch 3 gene on chromosome 19. Previous results also suggest that the various hemispheric subcortical areas have a different vulnerability to ischemia in this disease. The distribution of the lesions at the brain stem level has not yet been reported. C...

neurological manifestation may complicate takayasu arteritis (ta). a 23-year-old girl with sudden onset of vision loss was admitted to hospital. her brain mri showed abnormal t2-signal hyperintensity and visual evoked potential revealed prolonged p100 latency. consequently, optic neuritis was diagnosed. a review on history of dizziness, falling, and weak pulses of upper extremities led to more ...

Neuropsychiatric conditions like schizophrenia display a complex neurobiology, which has long been associated with distributed brain dysfunction. However, no investigation has tested whether schizophrenia shows alterations in global brain signal (GS), a signal derived from functional MRI and often discarded as a meaningless baseline in many studies. To evaluate GS alterations associated with sc...

Biological signal is a common term used for time series measurements that are obtained from biological mechanisms and basically represent some form of energy produced by the biological mechanisms. Examples of such signals are electroencephalogram (EEG), which is the electrical activity of brain recorded by electrodes placed on the scalp; electrocardiogram (ECG), which is electrical activity of ...

Brain computer interface technology, also known as BCI, is a kind of human brain consciousness signal collection, conversion, analysis, interpretation, finally realize the to external control equipment directly send operation command this technology can make do not use muscle pathway feedback, by designated groups or mechanical equipment, complete daily body movements.Although current stage BCI...