BEGIN:VCALENDAR VERSION:2.0 PRODID:researchseminars.org CALSCALE:GREGORIAN X-WR-CALNAME:researchseminars.org BEGIN:VEVENT SUMMARY:Erkki Somersalo (Case Western Reserve University) DTSTART:20220224T170000Z DTEND:20220224T180000Z DTSTAMP:20260423T035710Z UID:Inverse/75 DESCRIPTION:Title: Bayesian inversion and data science methods to identify changes in brain activity during meditation from MEG measurements\nby Erkki Somersalo ( Case Western Reserve University) as part of International Zoom Inverse Pro blems Seminar\, UC Irvine\n\n\nAbstract\nMeditation as a potential alterna tive for pharmaceutical intervention to mitigate conditions such as chron ic pain or clinical depression continues to obtain significant attention. One of the problems is that often the positive effects of meditation that have been reported are anecdotal or are based on self reporting. To quanti fy the effects of meditation\, it is therefore important to develop method s based on medical imaging to identify brain regions that are involved in the meditation practice. In this talk\, we review some recent results abou t this topic\, addressed by using magnetoencephalography (MEG) to map brai n activity during meditation. One of the difficulties here is that the dat a are less sensitive to activity taking place in the deep brain regions\, including the limbic system that is believed to play an important role in meditation. The MEG inverse problem is addressed by using novel Bayesian m ethods combined with advanced numerical techniques\, applied on data from professional Buddhist meditators. The reconstructed activity is then analy zed using data science techniques to distill the information about the act ivation changes during meditation.\n LOCATION:https://researchseminars.org/talk/Inverse/75/ END:VEVENT END:VCALENDAR