The document discusses BrainQube, a startup developing an accelerated FPGA application to rapidly and efficiently reconstruct brain networks from fMRI data without requiring expertise or extensive computation. Their solution addresses the prohibitive costs of current approaches. Potential clients include medical research centers and neuromarketing companies. The medical imaging market and neuromarketing market are both growing, representing opportunities. BrainQube aims to have a prototype ready for market by 2018.

1. BRAINQUBEStartUp101
Marta Brunetti marta.brunetti@mail.polimi.it
Chiara Coletti chiara.coletti@mail.polimi.it
Eleonora D’Arnese eleonora.darnese@mail.polimi.it
June 21,2017 Politecnico di Milano

2. BRAINQUBE 2
Context
Neuroscience >> resting state fMRI
The importance of studying the resting
state networks (RSNs) lies in:
• the evidence that RSNs are linked to
neurological disorders, such as
Alzheimer, Parkinson, Motor Neuron
pathologies, Multiple sclerosis, etc.
• the possible application in
neuromarketing fields.

3. BRAINQUBE 3
Problem
Computing brain networks from fMRI
data involves prohibitive costs because
it requires:
• expertise;
• high computation time;
• high energy consumption.

4. BRAINQUBE 4
Solution
$
We propose an accelerated
application on FPGA to
reconstruct brain networks from
fMRI data:
• rapidly;
• efficiently;
• without needing a trial.

5. BRAINQUBE 5
Technology
ICA
The Independent Component
Analysis (ICA) is the best solution
for resting state brain networks
identification.
Complexity and structure of the
algorithm
>> FPGA implementation.

6. BRAINQUBE 6
Client
[1] https://www.forbes.com/forbes/2009/1116/marketing-hyundai-neurofocus-brain-waves-battle-for-the-brain.html
Neuromaketing:
Companies and marketing firms.
For examples Google, Yahoo, Ebay,
Microsoft, Hunday, Walt Disney have
already used neuromarketing studies for
advertising campaigns.
Research centre and hospital:
BrainQube could help them in the first
phase of work, to investigate some
characteristic of neurologic diseases
(Alzheimer, Multiple sclerosis, Autism, etc.).

7. BRAINQUBE 7
Market
[3] http://www.marketsandmarkets.com/Market-Reports
Medical market:
The medical image analysis software market is
expected to reach USD 3135 Millions by 2020 for
USD 2143 Millions in 2015, increasing at a
compound annual growth rate (CAGR) of +7.9%
from 2015 to 20203
.
Medical market trend
USD(MLN)
01000200030004000
2015 2020
Neuromarketing:
The global market for neuromarketing
technology reached $22.0 million in 2016 by
2021 it will reach an expecting value of $50.3
million, increasing at a compound annual
growth rate (CAGR) of +18.0% from 2016 to
20213
.
Neuromaketing
market trend
USD(MLN)
015304560
2016 2021

8. BRAINQUBE 8
Competitive analysis
BrainQube
time and energy
performances
ease of use
Matlab based tools:
Statistical Parametric
Mapping (SPM), Gift
clinical softwares:
BrainVoyager
C based tool:
Melodic

9. BRAINQUBE 9
Channels and Go to market
The clients are research centre and companies
for neuromarketing.
The sales channel will be direct, through the
employment of sales force.
The final product will consist of a complete
infrastructure (hardware + software).

10. BRAINQUBE 10
Current Status and road map
June
September
November
March
2017 2018
Prototype V0.0
Starting first
prototype
implementation
Prototype V1.0
Go to market

11. BRAINQUBE 11
Team
Marta Brunetti Eleonora D’ArneseChiara Coletti
Bollate, 1995
BS Biomedical
Engineering @Polimi
Roma, 1996
BS Biomedical
Engineering @Polimi
Aosta, 1994
MS Biomedical Engineering
@Polimi and @UIC

12. Please, feel free to write us:
marta.brunetti@mail.polimi.it
chiara.coletti@mail.polimi.it
eleonora.darnese@mail.polimi.it
Facebook https://www.facebook.com/brainqubeatnecst
Twitter https://twitter.com/BrainQube_NECST
Slideshare https://www.slideshare.net/BrainQubeNecst
BRAINQUBEContacts
We would like to thank Humanitas Research Hospital for providing the fMRI scans.