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PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:CIBM Breakfast and Science Seminars
DTSTART:20220531T090000
DTEND:20220531T103000
DTSTAMP:20260408T110442Z
UID:6402e7d65ba1b85aa329ac52591cc2c725437c92e2e40e33e9d1700a
CATEGORIES:Conferences - Seminars
DESCRIPTION:Tomas Ros graduated with an honors in physics BSc degree from 
 Imperial College London. His PhD at University of London was focused on th
 erapeutic applications of brain-computer interfaces\, namely closed-loop n
 eurofeedback. During this time\, he pioneered the use of transcranial magn
 etic stimulation for probing neurofeedback-induced plasticity\, demonstrat
 ing changes in excitation/inhibition balance after a single training sessi
 on. During his first postdoc at the University of Western Ontario\, he hel
 ped develop an EEG neurofeedback protocol for reducing levels of mind-wand
 ering\, which was underpinned by connectivity changes within intrinsic bra
 in networks. This led to several translational studies of this protocol in
  patients with post-traumatic stress disorder (PTSD)\, revealing positive 
 effects on well-being. He then moved to the University of Geneva\, first c
 ollaborating on projects involving neurofeedback for post-stroke rehabilit
 ation. He is presently research staff scientist at the CIBM\, leading a te
 am investigating the impact of neurofeedback on attention-deficit hyperact
 ivity disorder (ADHD)\, affiliated with NCCR-Synapsy and the Functional Br
 ain Mapping Lab.\n\n\n\n\n\n\n\nEEG microstates have been traditionally us
 ed to estimate group-wise differences between clinical populations and/or 
 behavioral conditions. In this talk\, I will present our recent attempts t
 o use EEG microstates in the machine learning context\, in order to classi
 fy individual brain states and traits. I will begin by introducing a novel
  framework involving a spectral decomposition of microstate dynamics\, whi
 ch significantly expands the informational space available for machine lea
 rning. This approach will be validated in the context of brain state class
 ification\, both behaviorally (e.g. eyes open vs eyes closed) and in clini
 cal populations (e.g. post-traumatic stress disorder). Finally\, I will di
 scuss how such EEG microstate measures can be deployed in a closed-loop se
 tting with the goal of training particular brain states in real-time\, als
 o known as neurofeedback.\n\n\n\n\n\n\n
LOCATION:CIBM Seminar room https://epfl.zoom.us/w/63086100836?tk=ARWX-2uxr
 wZF0bgj6laYt3oLzE7vUH-8q6-XjvSKaNg.DQMAAAAOsDmBZBZDbGFHUFhrYVF4T3N3dl9vZHh
 3ZEVBAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA https://cibm.ch/events/breakfast-scien
 ce-seminars/
STATUS:CONFIRMED
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