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SUMMARY:Estimating across-site PAC\, delays\, and complex network properti
 es under source mixing - Stefan Haufe (Technical University of Berlin)
DTSTART:20240708T113000Z
DTEND:20240708T123000Z
UID:TALK216571@talks.cam.ac.uk
CONTACT:Dace Apšvalka
DESCRIPTION:*Title*: Estimating across-site PAC\, delays\, and complex net
 work properties under source mixing\n\n*Abstract*: Magneto- and electroenc
 ephalography (M/EEG) offer high temporal resolution\, making it possible t
 o study directed and frequency-resolved interactions including different t
 ypes of cross-frequency coupling. However\, inevitable source mixing can c
 ause spurious FC if not properly accounted for. In this talk\, I will cons
 ider the problems of detecting and quantifying Granger causality\, phase-a
 mplitude coupling\, signal transmission delays and complex network propert
 ies from M/EEG data in the presence of source mixing. I will present metho
 ds and simulation studies highlighting the capabilities and limitations of
  M/EEG based FC estimation. Finally\, I will show normative functional M/E
 EG connectomes derived from large pediatric and adult cohorts\, including 
 CamCAN\, and their dependance on age and gender. These normative connectom
 es are expected to become instrumental for characterizing pathological bra
 in communication patterns.\n\n*Bio*: Stefan Haufe is a joint Associate Pro
 fessor of Uncertainty\, Inverse Modeling and Machine Learning at Technisch
 e Universität Berlin and Physikalisch-Technische Bundesanstalt Berlin as 
 well as a Group Leader at Charité - Universitätsmedizin Berlin. His gro
 up develops signal processing\, inverse modelling and machine learning met
 hods primarily for analysing neuroimaging data. He is also interested in 
 model interpretation and "explainable artificial intelligence".\n\n*Venue*
 : MRC CBU West Wing Seminar Room and Zoom https://us02web.zoom.us/j/823851
 13580?pwd=RmxIUmphQW9Ud1JBby9nTDQzR0NRdz09
LOCATION: MRC-CBU\, 15 Chaucer Road\, Cambridge
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