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UID:20250918T144514EDT-1758IOP7BV@132.216.98.100
DTSTAMP:20250918T184514Z
DESCRIPTION:During the past decade\, reproducible connectivity patterns of 
 brain activity during rest have been identified and thoroughly investigate
 d using PET and fMRI (Gusnard & Raichle\, 2001\; Raichle et al.\, 2001\; G
 reicius et al.\, 2003). However\, little is still known about the electrop
 hysiological correlates of structured BOLD fluctuations and correlations d
 etected during resting state.  In the presented study\, we demonstrate wit
 h MEG source imaging a possible electrophysiological mechanism underlying 
 resting-state BOLD fluctuations. Our approach is based on the hypothesis o
 f cross-frequency coupling as a vehicle of communication and integration b
 etween and within brain regions (Steriade\, 2006). As such\, this mechanis
 m represents an ideal candidate to support the resting-state networks that
  have been shown to match some of the major anatomical connectivity pathwa
 ys across the whole brain.  We were able to identify patterns of phase-amp
 litude coupling between low-frequency bands and high-gamma oscillations\, 
 which reveal the regions connected during resting-state. Overall\, our res
 ults suggest that the mechanisms underlying the brain's resting-state netw
 orks as detected with fMRI are based on the cross-frequency coupling betwe
 en the phase of low-frequency components and the amplitude of high-gamma o
 scillatory fluctuations.
DTSTART:20121206T203000Z
DTEND:20121206T203000Z
LOCATION:Room 101\, Rabinovitch House\, CA\, QC\, Montreal\, H3G 2A8\, 3640
  rue de la Montagne
SUMMARY:Investigating the resting brain with MEG: Esther Florin\, Ph.D.
URL:/channels-contribute/channels/event/investigating-
 resting-brain-meg-esther-florin-phd-219209
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