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signal en source analysis

signal en source analysis

asa provides a complete set of functions to study continuous and event-related activity recorded with EEG/MEG. It facilitates a sophisticated data review, signal filtering and artefact handling, event detection, conditioning of triggers and subject responses, averaging in time and frequency domain, a variety of transformation tools, and of course averaging over groups of subjects.

Analysis of large data sets is made efficient through the asa Experiment Manager, which is an MS-Excel based application that tightly integrates ASA with automated processing of group data and post-processing of results.

Source reconstruction in asa

With a variety of advanced neuroimaging methods for EEG and MEG analysis, asa provides all-in-one solution. The package is suitable for study of most complex setups.

Source modeling has advanced from multiple spatio-temporal dipole solutions to MUSIC, minimum norm estimate, LORETA, sLORETA, swLORETA and swLORETA in frequency domain - and asa supports all of these.

The picture above shows a full-screen display of an asa analysis: The subject's MRI is shown together with the focus of EP activity as estimated with the MUSIC method. The map, EP traces and wavelets show different aspects of the data synchronized in time.

Moreover, realistic head modeling using boundary elements can be applied irrespective of what particular source modeling approach is used. MRI based individually shaped head models can be interactively generated and provide users with accurate solutions.

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