MEGIN Masterclass

MaxFilter™ Masterclass: Optimize the use of Signal Space Separation methods

Presented by MEGIN’s Method Development Manager, Jukka Nenonen.

Abstract: “Signals Space Separation (SSS) and its temporal extension (tSSS) have proven invaluable methods for suppressing external and nearby interference in MEG studies. The lecture considers some key areas to optimize the SSS-based processing, focusing on MEGIN’s MaxFilter™ software. The topics include the following “how to” questions: inspect the head position in recorded data, set the best SSS origin, define the tSSS parameters, identify bad channels, optimize head movement compensation, and optimize head position transformations.”

Bio: Jukka Nenonen, D.Sc, has been the Method Development Manager at MEGIN since 2003. His main responsibilities include development of advanced methods for suppressing interference and artifacts from MEG data, improvement of the signal quality for the data analysis, customer support in questions and troubleshooting of data problems, and customer training. He is also the author of MEGIN’s MaxFilter™ software.

*The MEGIN Masterclasses content and speakers selected are only for information purposes and MEGIN does not endorse any applications or treatments mentioned.

**TRIUX™ neo is intended to non-invasively record brain activity, and when interpreted by trained physicians, to help localize these active areas. All other applications are scientific research in nature. Please contact MEGIN for further information.