ARIANNA: A research environment for neuroimaging studies in autism spectrum disorders. (1st August 2017)
- Record Type:
- Journal Article
- Title:
- ARIANNA: A research environment for neuroimaging studies in autism spectrum disorders. (1st August 2017)
- Main Title:
- ARIANNA: A research environment for neuroimaging studies in autism spectrum disorders
- Authors:
- Retico, Alessandra
Arezzini, Silvia
Bosco, Paolo
Calderoni, Sara
Ciampa, Alberto
Coscetti, Simone
Cuomo, Stefano
De Santis, Luca
Fabiani, Dario
Fantacci, Maria Evelina
Giuliano, Alessia
Mazzoni, Enrico
Mercatali, Pietro
Miscali, Giovanni
Pardini, Massimiliano
Prosperi, Margherita
Romano, Francesco
Tamburini, Elena
Tosetti, Michela
Muratori, Filippo - Abstract:
- Abstract: The complexity and heterogeneity of Autism Spectrum Disorders (ASD) require the implementation of dedicated analysis techniques to obtain the maximum from the interrelationship among many variables that describe affected individuals, spanning from clinical phenotypic characterization and genetic profile to structural and functional brain images. The ARIANNA project has developed a collaborative interdisciplinary research environment that is easily accessible to the community of researchers working on ASD (https://arianna.pi.infn.it ). The main goals of the project are: to analyze neuroimaging data acquired in multiple sites with multivariate approaches based on machine learning; to detect structural and functional brain characteristics that allow the distinguishing of individuals with ASD from control subjects; to identify neuroimaging-based criteria to stratify the population with ASD to support the future development of personalized treatments. Secure data handling and storage are guaranteed within the project, as well as the access to fast grid/cloud-based computational resources. This paper outlines the web-based architecture, the computing infrastructure and the collaborative analysis workflows at the basis of the ARIANNA interdisciplinary working environment. It also demonstrates the full functionality of the research platform. The availability of this innovative working environment for analyzing clinical and neuroimaging information of individuals with ASDAbstract: The complexity and heterogeneity of Autism Spectrum Disorders (ASD) require the implementation of dedicated analysis techniques to obtain the maximum from the interrelationship among many variables that describe affected individuals, spanning from clinical phenotypic characterization and genetic profile to structural and functional brain images. The ARIANNA project has developed a collaborative interdisciplinary research environment that is easily accessible to the community of researchers working on ASD (https://arianna.pi.infn.it ). The main goals of the project are: to analyze neuroimaging data acquired in multiple sites with multivariate approaches based on machine learning; to detect structural and functional brain characteristics that allow the distinguishing of individuals with ASD from control subjects; to identify neuroimaging-based criteria to stratify the population with ASD to support the future development of personalized treatments. Secure data handling and storage are guaranteed within the project, as well as the access to fast grid/cloud-based computational resources. This paper outlines the web-based architecture, the computing infrastructure and the collaborative analysis workflows at the basis of the ARIANNA interdisciplinary working environment. It also demonstrates the full functionality of the research platform. The availability of this innovative working environment for analyzing clinical and neuroimaging information of individuals with ASD is expected to support researchers in disentangling complex data thus facilitating their interpretation. Graphical abstract: Highlights: ARIANNA is a web-based research environment (arianna.pi.infn.it). It is devoted to the collection and analysis of multi-site neuroimaging and clinical data. The final aim is to detect structural and functional brain changes related to Autism Spectrum Disorders. Secure data handling and storage are guaranteed. Fast grid/cloud-based computational resources are accessible. … (more)
- Is Part Of:
- Computers in biology and medicine. Volume 87(2017)
- Journal:
- Computers in biology and medicine
- Issue:
- Volume 87(2017)
- Issue Display:
- Volume 87, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 87
- Issue:
- 2017
- Issue Sort Value:
- 2017-0087-2017-0000
- Page Start:
- 1
- Page End:
- 7
- Publication Date:
- 2017-08-01
- Subjects:
- Magnetic resonance imaging -- Neuroimaging -- Autism spectrum disorders -- Children -- Resource sharing -- Data processing -- World wide web working environment
Medicine -- Data processing -- Periodicals
Biology -- Data processing -- Periodicals
610.285 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00104825/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compbiomed.2017.05.017 ↗
- Languages:
- English
- ISSNs:
- 0010-4825
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.880000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 2956.xml