NeuGRID: Difference between revisions
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Revision as of 17:19, 31 May 2013
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| This article, NeuGRID, has recently been created via the Articles for creation process. Please check to see if the reviewer has accidentally left this template after accepting the draft and take appropriate action as necessary.
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Comment: Independent and reliable sources needed. FoCuSandLeArN (talk) 22:56, 13 May 2013 (UTC)
neuGRID is a web portal aimed to (i) help neuroscientists do high-throughput imaging research, and (ii) provide clinical neurologists automated diagnostic imaging markers of neurodegenerative diseases for individual patient diagnosis. neuGRID’s user-friendly environment is customised to a range of users from students to senior neuroscientists working in the fields of Alzheimer’s disease, psychiatric diseases, and white matter diseases. neuGRID aims to become a widespread resource for brain imaging analyses.
How does neuGRID work?
Through the single virtual access point Science Gateway web portal, users login and access a “virtual” imaging laboratory. Here users can upload, use, and share algorithms for brain imaging analysis, have access to large neuroimaging datasets, and make computationally intensive analyses, all the time with specialized support and training. Thanks to distributed services and grid/cloud computational resources, analyses with neuGRID are much faster than traditional-style lab-based analyses. neuGRID’s proof-of-concept was carried out in 2009 when an Alzheimer's disease biomarker (3D cortical thickness with Freesurfer and CIVET) was extracted from 6.500 MR scans in 2 weeks versus 5 years that it would have taken in a traditional setting.
History
neuGRID was first funded by the European Commission DG INFSO within the 7th Framework Program from 2008 to 2011. Here, the hardware and middleware infrastructure were developed. The second wave was funded in 2011 by the European Commission, now DG CONNECT, under the project neuGRID for you (N4U), with the main aim of expanding user services with more intuitive and graphical interfaces. N4U will end in December 2014.
Consortium
The initial neuGRID consortium involved 8 European partners from Italy, France, UK, Nederland, Sweden, Spain and Switzerland. N4U involves 9 European partners (6 of which already in neuGRID) and 2 North Americans. International partners have been involved thanks to a support action funded once more by DG INFSO (outGRID, http://www.outgrid.eu). The coordinator of all three projects is Giovanni B Frisoni, neurologist based at the IRCCS Fatebenefratelli, The National Centre for Alzheimer’s Disease in Brescia, Italy.
Publications
On the infrastructure
- Frisoni GB, Redolfi A, Manset D, Rousseau MÉ, Toga A, Evans AC. Virtual imaging laboratories for marker discovery in neurodegenerative diseases. Nat Rev Neurol 2011;7:429-38.
- Redolfi A, McClatchey R, Anjum A, Zijdenbos A, Manset D, Barkhof F, Spenger C, Legré Y, Wahlund L, Barattieri di San Pietro C, Frisoni GB. Grid infrastructures for computational neuroscience: the neuGRID example. Future Neurology 2009;4:703-22.
- Barkhof F. Making better use of our brain MRI research data. Eur Radiol 2012;22:1395-6.
- Anjum A, Bloodsworth P, Habib I, Lansdale T, McClatchey R, Mehmood Y; neuGRID Consortium. Reusable services from the neuGRID project for grid-based health applications. Stud Health Technol Inform 2009;147:283-8.
Neuroscientific studies where neuGRID has been used as a resource
- Cover KS, van Schijndel RA, van Dijk BW, Redolfi A, Knol DL, Frisoni GB, Barkhof F, Vrenken H; neuGRID Consortium; Alzheimer's Disease Neuroimaging Initiative. Assessing the reproducibility of the SienaX and Siena brain atrophy measures using the ADNI back-to-back MP-RAGE MRI scans. Psychiatry Res 2011;193:182-90.
- Frisoni GB, Fox N, Jack C Jr, Scheltens P, and Thompson PM. The clinical use of structural MRI in Alzheimer disease. Nat Rev Neurol 2010; 6:67–77.