General presentation of FastBRaIn

1. Giada Casagrande: giada.casagrande@mail.polimi.it
Filippo Carloni: filippo.carloni@mail.polimi.it
Valentina Corbetta: valentina.corbetta@mail.polimi.it
26th April 2018
XOHW18 Meeting @NECSTLab
Project presentation
FastBRaIn

2. Long-term analysis of alterations
in brain functional connectivity
Context Definition
Identification of
neurodegenerative diseases
and attention deficit disorders
2

3. Resting-State Networks
synchronous fluctuations between
regions spatially distinct, occurring in
the absence of a task or stimulus [1]
fMRI
(functional Magnetic Resonance Imaging)
Resting State
[1] [Bharat Biswal, F. Zerrin Yetkin, Victor M. Haughton, James S. Hyde, "Functional connectivity in the motor cortex using Echo-Planar MRI", Magn Reson Med, n.41 (1995), 34:537
3

4. 4
Method for identifying underlying components from multivariate statistical data
ICA = Independent Component Analysis
ICA Method

5. Technological Challenge
5
High execution time
fMRI analysis using ICA requires
a large amount of matrix
multiplications on big data
Impossibility of
having real-time results

6. 6
The Solution

7. Advantages
7

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