posted May 3, 2017, 3:28 AM by Cartool Software FBMLab
[
updated Oct 9, 2017, 9:19 AM
]
This is the latest edition of Cartool, with a lot of changes in the microstates segmentation, inverse matrices computation, etc...
What's new (long):
 Optimally tuned MetaCriterion for clustering:
 Through extensive tests with synthetic data, the optimal
clustering criteria have been selected (7 of them).
 An optimal merging formula has also been devised, to produce
a single synthetic MetaCriterion.
 MetaCriterion works for ERPs, Resting States, either on
individual or group analysis.
 Segmentation in Inverse Space:
 Introduced since awhile, the method has been improved and
refined. Basically, it's the clustering just done in the
Inverse Space instead of the EEG space.
 For ERPs, RIS templates can be anything they want. But for
Resting States, RIS templates are now forced to be
nonoverlapping, like independent regions.
 It extracts both the clustering and the localization
in the same process! It has been tested extensively on
a lot of datasets, and produces consistent results.
 Segmentation with a dual dataset !NEW!:
 Within the EEG RS analysis, Cartool can now compute the corresponding
RIS templates from the EEG templates. This
allows to see what were the sources associated with all the
EEG maps clustered together.
 Conversely, it can compute the corresponding EEG
templates from the RIS templates. This time it
allows to see the EEG maps associated with all the Inverse
data clustered together.
 This is the optimal way to have the correspondance
between the EEG and the Inverse Space templates.
 Fitting will output more correlation data: the
spatial correlation time courses, but also some
crosscorrelations of these time courses.
 Frequency Analysis:
 Frequency Analysis in the Inverse Space !NEW!:
 Perform first the frequency analysis on the EEG, saving
the results to Complex values.
 Cartool can now apply the Inverse Matrix to these
Complex data to obtain the resulting sources (Tools 
Inverse  Computing RIS). This is done by applying the Real
and Imaginary parts separately, then merging the results
together.
 You can now save the Phase from the wavelet analysis
(STransform).
 Correlation analysis:
 3 types of analysis are now available:
Spatial Correlation; Timecourse Correlation; PhaseIntensity
Coupling.
Most of these analysis can be done on tracks or on
frequencies, with Cartool performing a lot of checks on the
given data.
 Spatial Correlation:
 Given some EEG (or RIS) files, and some templates,
computes the instantaneous spatial correlation with each
template. This is the same as in the Fitting.
 Results are time courses of these correlations.
 Timecourse correlation:
 Given some time courses (whatever they are), compute the
correlation between them. F.ex. to see the correspondance
between templates spatial correlation and the solution
points.
 Result is a matrix of correlations.
 PhaseIntensity Coupling !NEW!:
 Given some phase and intensity files, computes the
coupling between the two.
 Result is a frequency file, showing the coupling for a
given ROI / track with all the others.
 Generating synthetic data for various tests, called
from menu ToolsGenerating Synthetic Data:
 There are currently 3 ways to generate data: EEG segments,
RIS segments or dipole sources.
 From a given number of core EEG maps, you
can generate synthetic EEG segments. Correlation,
noise levels and segments durations are controlled by the
user.
 Likewise in the Inverse Space, generating artificial
inverse segmented data.
 Any number of oscillating dipoles, each with its own
location, orientation, amplitude, frequency and phase. Results
are given in both the EEG and Inverse spaces.
 Inverse Display: you can now select the solution
points and it will show up in the RIS tracks, or select
some RIS tracks and it will show up in the inverse solution
points. This is similar to the maps display, where you can
select the electrodes.
 Other stuff:
 Utility to split freq files in any of its dimensions: per
frequency, per eelctrode or per spectrum.
 Refreshed the MRIs  Preprocessing utility. You can now
explicitly reorient, downsample, coregister, extract brain +
Bias Field correct.
 Improved the topographic PCA, to be working in both EEG and
RIS spaces.
 Reading Analyze files with exotic formats, like float /
doubles with possible NaN values...
 Fixing old bugs (..and introducing new ones for the LOLs).

