The document discusses different algorithms for independent component analysis (ICA) for separating multivariate signals into additive subcomponents. It compares the Infomax, FastICA, JADE, and EVD algorithms in terms of their accuracy for spatial maps and time courses, required parameters and settings, and execution time. The document also reviews the FSL and GIFT tools for ICA and compares their user friendliness and execution times. It concludes by introducing the FastBRaIn tool for fast ICA analysis.

1. Valentina Corbetta: valentina.corbetta@mail.polimi.it
Giada Casagrande: giada.casagrande@mail.polimi.it
Filippo Carloni: filippo.carloni@mail.polimi.it
16th May 2018
XOHW18 Meeting @NECSTLab
State of Art
FastBRaIn

2. ICA
The Independent Component Analysis (ICA) is a computational method
for separating a multivariate signal into additive subcomponents.
There are different approaches to implement ICA:
Infomax maximum likelihood
FastICA maximizes nongaussianity
JADE joint diagonalization
EVD second order correlation
2

3. Execution time: related to a Pentium 4, 1.6-GHz, 512 GB, Windows XP computer using MATLAB version 7.0.
Nicolle Correa, Tu ̈lay Adali, and Vince D Calhoun. Performance of blind source separation algorithms for fMRI analysis using a group ICA method.
Magnetic resonance imaging, 25(5):684–94, jun 2007.
Algorithms
Spatial
Maps
Accuracy
Time
Courses
Accuracy
Parameters
Settings
Execution
Time [s]
Infomax 70
FastICA 38
JADE 62
EVD 3
ICA Algorithms
3

4. 4

5. 5
Related Works
Execution Time
User Friendliness

6. Related Works
6
User Friendliness
Execution Time
FSL[1]
Execution Time: 20 min
[1]https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FEAT

7. Related Works
User Friendliness
Execution Time
Gift:
Execution Time: 8 min
7
FSL[1]
Execution Time: 20 min
[1]https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FEAT

8. Related Works
User Friendliness
Execution Time
Gift:
Execution Time: 8 min
8
FSL[1]
Execution Time: 20 min
[1]https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FEAT
FastBRaIn

9. FastBRaIn
Thank you for your attention
FastBrainatNECST
FastBRaIn_NECST
Valentina Corbetta: valentina.corbetta@mail.polimi.it
Giada Casagrande: giada.casagrande@mail.polimi.it
Filippo Carloni: filippo.carloni@mail.polimi.it