This paper proposed a prewhitening invariance of noise space (PW-INN) as a new magnetoencephalography (MEG) source analysis method, which is particularly suitable for localizing closely spaced and highly correlated cortical sources under real MEG noise. Conventional source localization methods, such as sLORETA and beamformer, cannot distinguish closely spaced cortical sources, especially under ...

Karen and Meg, a lesbian couple in a committed, long-term relationship, decided to have a child together.1 Karen attempted to conceive a child via in vitro fertilization with the support and assistance of Meg, who donated the ovum to be fertilized with sperm from an anonymous donor. The procedure was successful and the couple proceeded together through the familiar yet profound rituals of pregn...

The prototypes of ultra-low-field (ULF) MRI scanners developed in recent years represent new, innovative, cost-effective and safer systems, which are suitable to be integrated in multi-modal (Magnetoencephalography and MRI) devices. Integrated ULF-MRI and MEG scanners could represent an ideal solution to obtain functional (MEG) and anatomical (ULF MRI) information in the same environment, witho...

The aim of the present study is to show the usefulness of nonlinear methods to analyse the electroencephalogram (EEG) and magnetoencephalogram (MEG) in patients with Alzheimer's disease (AD). The following nonlinear methods have been applied to study the EEG and MEG background activity in AD patients and control subjects: approximate entropy, sample entropy, multiscale entropy, auto-mutual info...

Magnetoencephalography (MEG), with its direct view to the cortex through the magnetically transparent skull, has developed from its conception in physics laboratories to a powerful tool of basic and clinical neuroscience. MEG provides millisecond time resolution and allows real-time tracking of brain activation sequences during sensory processing, motor planning and action, cognition, language ...

The mean effective gain (MEG) is an attractive performance measure of mobile handsets, since it incorporates both directional and polarization properties of the handset and environment. In this work the MEG is computed from measured spherical radiation patterns of five different mobile handsets, both in free space and including a human head & shoulder phantom. Different models of the environmen...

Magnetoencephalography (MEG) and magnetic resonance imaging at ultra-low fields (ULF MRI) are two methods based on the ability of SQUID (superconducting quantum interference device) sensors to detect femtotesla magnetic fields. Combination of these methods will allow simultaneous functional (MEG) and structural (ULF MRI) imaging of the human brain. In this paper, we report the first implementat...

Using noninvasive neuroimaging, researchers have shown that young children have bilateral and diffuse language networks, which become increasingly left lateralized and focal with development. Connectivity within the distributed pediatric language network has been minimally studied, and conventional neuroimaging approaches do not distinguish task-related signal changes from those that are task e...

Inferring graphical models from high dimensional observations has become an important problem in machine learning and statistics because of its importance in a variety of application domains. One such application is inferring functional connectivity between brain regions from neuroimaging data such as magnetoencephalograpy (MEG) recordings that produce signals with good temporal and spatial res...

O(6)-methylguanine (O(6)meG) is one of the most premutagenic, precarcinogenic, and precytotoxic DNA lesions formed by alkylating agents. Repair of this DNA damage is achieved by the protein MGMT, which transfers the alkyl groups from the O(6) position of guanine to a cysteine residue in its active center. Because O(6)meG repair by MGMT is a stoichiometric reaction that irreversibly inactivates ...