outGrids – Sim-e-Child - ITU

42 Pages·2011·10.71 MB·English

by  David Manset

A WORLDWIDE E-INFRASTRUCTURE FOR COMPUTATIONAL NEUROSCIENTISTS

Innovative ICT Solutions for Multi-centric
European Research Networks
2011-10-27 ITU Telecom World – WHO eHealth Pavilion
Palexpo – Geneva, Switzerland

David MANSET
outGRID Technical Coordinator
From the Internet to the Grid
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*Courtesy of EGI Project
neuGRID e-Infrastructure
3 participating clinical centers: FBF
(Brescia, Italy), VUmc (Amsterdam, The
Netherlands), KI (Stockholm, Sweden),

600 CPU cores (+ EGI elastic resources),

Unique bridge to transatlantic initiatives
CBRAIN (Canada) and LONI (USA),

Expands to support clinical decision
making in neuro-degenerative diseases

High-capacity Network
Sim-e-Child e-Infrastructure
Leverages on FP6-funded Health-e-Child
project and excellence network,

5 participating clinical centers:
OPBG(Rome, Italy), IGG (Genova, Italy),
NECKER (Paris, France), GOSH (London,
UK), JHU (Baltimore, USA)

300 CPU cores (+ EGI elastic resources),

Unique bridge to transatlantic initiatives
GenTAC and COAST clinical trials and
databases (USA),

High-capacity Network
Disease Markers Development,
Test and Validation
neuGRID

A Grid-brained e-Infrastructure for
Neurosciences
Imaging Markers for Alzheimer’s
Gray Matter Loss

Isolated Early Consolidated
Memory Disability Disability
Problems
Recipe to Develop Markers for Alzheimer’s:
1. Large Databases (‘0,000s)
…
T0 T6 T12 T18 …
US ADNI ≈10,000 images
Australian ADNI (AIBL) ≈ 4,000 images
Japanese ADNI (≈ 3,000 images)
European ADNI (IMI Pharma-cog) (≈ 1,500 images)
Recipe to Develop Markers for Alzheimer’s:
2. Sophisticated Algorithms for Image Analysis
Cortical thickness Cortical thickness
Difference analysis
at month 0 at month 30
1.50 mm 4.50 mm +.50 -.50
Recipe to Develop Markers for Alzheimer’s:
3.Sophisticated Statistical Models
Gray matter change in

Healthy elders

Very early
Alzheimer’s
-3 | -2 | -1 | 0 | 1 | 2 | 3
Years from dementia