[FieldTrip] FT_CONNECTIVITYANALYIS
Paul Sowman
paul.sowman at mq.edu.au
Mon Feb 25 07:20:55 CET 2013
Hi, which is the appropriate option in FT_CONNECTIVITYANALYIS to implement
connectivity analysis via the imaginary part of coherency? The 2011
Computational Intelligence and Neuroscience paper says that the method from
the Nolte paper is implemented but I'm not sure which is the right option
to do this from the list:
coh', coherence, support for freq, freqmvar and
source data. For partial coherence also
specify cfg.partchannel
'csd', cross-spectral density matrix, can also
calculate partial csds -
if cfg.partchannel is specified, support
for freq and
freqmvar data
'plv', phase-locking value, support for freq and
freqmvar data
'powcorr', power correlation, support for freq and
source data
'amplcorr', amplitude correlation, support for freq and
source data
'granger', granger causality, support for freq and
freqmvar data
'dtf', directed transfer function, support for freq
and freqmvar data
'pdc', partial directed coherence, support for freq
and freqmvar data
'psi', phaseslope index, support for freq and
freqmvar data
'wpli', weighted phase lag index (signed one,
still have to take absolute value to get
indication of
strength of interaction. Note: measure has
positive bias. Use wpli_debiased to avoid
this.
'wpli_debiased' debiased weighted phase lag index
(estimates squared wpli)
'ppc' pairwise phase consistency
'wppc' weighted pairwise phase consistency
G. Nolte, O. Bai, L. Wheaton, Z. Mari, S. Vorbach, and M. Hallett,
“Identifying true brain interaction from EEG data using the imaginary part
of coherency,” Clinical Neurophysiology, vol. 115, no. 10, pp. 2292–2307,
2004.
--
Paul F Sowman
NHMRC Postdoctoral Training Fellow
ARC Centre of Excellence for Cognition and its Disorders (CCD)
MACQUARIE UNIVERSITY NSW 2109
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