Neuroscientists have long observed that brain activity is naturally variable from moment-to-moment, but neuroimaging research has largely ignored the potential importance of this phenomenon. An emerging research focus on within-person brain signal variability is providing novel insights, and offering highly predictive, complementary, and even orthogonal views of brain function in relation to hu...

An image of increased signal intensity on T2-weighted images in the central area globus pallidus (caused by necrosis and edema) surrounded a zone reduced (representing iron deposits) brain magnetic resonance is called eye tiger sign.

Neurofeedback is a kind of biofeedback, which teaches self-control of brain functions to subjects by measuring brain waves and providing a feedback signal. Neurofeedback usually provides the audio and or video feedback. Positive or negative feedback is produced for desirable or undesirable brain activities, respectively. In this review, we provided clinical and technical inf...

Background: Patients with leukemia are facing more complications in order to achieve longer survival. We aimed to evaluate the frequency of central nervous system abnormalities (CNS) on MRI of children with acute lymphoblastic leukemia (ALL). Methods: Sixty-six children with diagnosis of ALL aged 2-18 years were recruited. Non-contrast sequences of brain MRI in addition to diffusion weighted i...

An electroencephalogram (EEG) is a medical examination that records the electrical activity of human brain. In order to record these signals, electrodes are placed on scalp, and detect any brain cells. This result used diagnose patients with epilepsy, sleep disorders, tumors, seizure disorders. However, signals often corrupted by various artefacts either generated from body(physiological) or ap...

The electroencephalogram (EEG) is a complex signal and an important brain state indicator (e.g. waking, sleep, seizure). Modern brain research is intimately linked to the feasibility to record the EEG and to its quantitative analysis. EEG spectral analysis (decomposing a signal into its constituent frequency components) is an important method to investigate brain activity. Basic principals of s...

Multiclass motor imagery classification is essential for brain–computer interface systems such as prosthetic arms. The compressive sensing of EEG helps classify brain signals in real-time, which necessary a BCI system. However, limited, despite its flexibility and data efficiency, because sparsity high computational cost reconstructing signals. Although the constraint has been addressed through...

-Electroencephalography is the simple method of recording and measuring electrical activity of brain. This brain signal is amplified and resulting in electroencephalogram (EEG). EEG is non-invasive tool used in monitoring brain activities and diagnosis of many neurological disorder. The main challenge of EEG is the small signal amplitude and its sensitivity to noise because of which it demands ...

Objective(s): Epidemiological and biochemical studies conducted over the past two decades have established a strong link between type 2 diabetes mellitus (T2DM) and Alzheimer’s disease (AD). However, the exact mechanisms through which aberrations in insulin signaling associated with T2DM contribute to cognitive decline are not yet known. Materials and Methods: In an effort to explore possible m...

In this paper, a brain signal monitoring system using micro-optical conjugate mirror based on whispering gallery modes (WGMs) of light within a PANDA ring circuit is modeled and proposed. WGMs are generated by the PANDA ring circuit, which can be used to perform the brain signal connection using WGM probe, which is a 3D light probe. Simulation results obtained have shown that the THz WGMs can b...