[Comp-neuro] Non-invasive imaging of non-linear interactions workshop @ CNS*2011 meeting

Alex Ossadtchi ossadtchi at gmail.com
Thu Apr 28 16:16:30 CEST 2011


Dear Colleagues,

I would like to draw your attention to

"Non-invasive imaging of non-linear interactions" workshop

that will be held as a part of the Twentieth Annual Computational
Neuroscience Meeting CNS*2011 in Stockholm,
http://www.cnsorg.org/2011/.

The workshop will take place on the 28th of July 2011 starting 10 AM.
The workshop will feature seven 1/2 hour lectures each followed
by a 15-minute discussion and the final discussion in the form of a
round table. Please, find the program below.

10:00-10:15 Alex Ossadtchi, "Introduction"
10:15-10:45 Richard Greenblatt, "Overview of existing results in both
invasive and non-invasive detection of cross-frequency coupling."
11:00-11:30 Felix Darvas, "Do we have reliable cross-frequency
interaction detection results based on the invasive neurophysiological
data? Tasks and methods."
11:45-12:15 Matias Palva, "Cross-frequency phase and amplitude
interactions among human cortical oscillations."

12:30-13:30 Lunch break

13:30-14:00 Alex Osadtchi, "DICS variations for non-invasive
cross-frequency coupling detection. The method and preliminary
results."
14:15-14:45 Vladimir Litvak/Will Penny, "Oscillatory
cortico-subthalamic connectivity in Parkinson's patients brain"
15:00-15:30 Vadim Nikulin, "Studying neuronal n:m phase
synchronization with the frequency-shift approach"
15:45-16:15 Michael Rosenblum, "Reconstructing phase dynamics of
oscillator networks"

16:30-17:30 Round Table Discussion and concluding remarks


Note, that early registration end
http://www.cnsorg.org/2011/reg_fees.shtml. Early registration ends May
15th, 2011, 11pm US Pacific time.

Please, mark your calendar and hope to see you there,
Alex Ossadtchi

Workshop abstract

Interactions between neuronal assemblies form a basis for the
mechanism of functional integration that underlies most of our
actions. Studying these interactions is important for understanding
the principles of brain operation. However, such neuronal
communications are hallmark of a living brain and therefore it is of
paramount importance to develop tools for imaging of these
interactions on the basis of non-invasively collected data.

The interactions manifest themselves in synchrony of activity of
neuronal assemblies. Recent years demonstrated a dramatic increase in
the number of studies dealing with synchrony detection and analysis on
the basis of EEG and MEG data. Several reliable algorithms have been
developed, however very few studies dealt with the task of
source-space analysis of non-linear (cross-frequency) interactions on
the basis of non-invasive data.

Validation of real data analysis results are complicated due to the
difficulty of establishing the gold standard as the interaction
picture may differ from subject to subject. One way to approach this
problem is to do validation of the new techniques for imaging of
synchrony in application to simultaneously recorded ECoG and EEG/MEG
datasets.

Synchrony detection methods should either be built based on
statistical considerations or should be followed by a statistical
testing step. It is important that such tests include physiologically
plausible models balancing the accuracy and the relatively low level
of spatial details yielded by EEG and MEG measurements.


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