a r t i c l e i n f o 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 neu-roscience. MEG provides millisecond time resolution and allows real-time tracking of brain activation sequences during sensory processing, motor planning and actio...

Partial differential equations in boundary-value problems have been studied in order to estimate the influence of several geometrical and physical parameters involved in the outward transmission of the brain's magnetic field. Explicit Green kernels are used to obtain integral forms of generalized solutions which can be deduced from each other, as expressed over concentric spherical surfaces. Th...

We applied second-order blind identification (SOBI), an independent component analysis method, to MEG data collected during cognitive tasks. We explored SOBI's ability to help isolate underlying neuronal sources with relatively poor signal-to-noise ratios, allowing their identification and localization. We compare localization of the SOBI-separated components to localization from unprocessed se...

Magnetoencephalography (MEG) can monitor the activation of a neuronal population with millisecond temporal resolution, and offer new noninvasive information about basic activities of the human brain. MEG is usable for the description of spontaneous brain activity and the detection of timely events such as stimulus evoked fields. The most recent advances in the field of MEG concerning cortical r...

OF DOCTORAL DISSERTATION HELSINKI UNIVERSITY OF TECHNOLOGY P. O. BOX 1000, FI-02015 TKK http://www.tkk.fi Author Lauri Parkkonen Name of the dissertation Manuscript submitted 2009-04-21 Manuscript revised 2009-05-27 Date of the defence 2009-06-12 Article dissertation (summary + original articles) Monograph Faculty Department Field of research Opponent(s) Supervisor Instructor