Cerebral currents responsible for the extra-cranially recorded magnetoencephalography (MEG)
data can be estimated by applying a suitable source model. A popular choice is the …

The capacity to identify the unique functional architecture of an individual's brain is a crucial
step toward personalized medicine and understanding the neural basis of variation in …

Cerebral lateralization is a fundamental property of the human brain and a marker of successful
development. Here we provide evidence that multiple mechanisms control asymmetry …

Although magnetoencephalography (MEG) and electroencephalography (EEG) have been
available for decades, their relative merits are still debated. We examined regional …

Variations in cortical oscillations in the alpha (7–14 Hz) and beta (15–29 Hz) range have
been correlated with attention, working memory, and stimulus detection. The mu rhythm …

Source current estimation from electromagnetic (MEG and EEG) signals is an ill-posed problem
that often produces blurry or inaccurately positioned estimates. The two modalities have …

This paper presents a computationally efficient source estimation algorithm that localizes
cortical oscillations and their phase relationships. The proposed method employs wavelet-…

This review will focus on investigations of the auditory evoked neuromagnetic field component,
the M100, detectable in the magnetoencephalogram recorded during presentation of …

Previous reports conflict as to the role of primary somatosensory neocortex (SI) in tactile
detection. We addressed this question in normal human subjects using whole-head …

The relationship between structural and functional brain networks is still highly debated.
Most previous studies have used a single functional imaging modality to analyze this …