ARIANNA: A research environment for neuroimaging studies in autism spectrum disorders

ARIANNA: A research environment for neuroimaging studies in autism spectrum disorders

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 ge...

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Bibliographic Details
Published in:Computers in biology and medicine Vol. 87; pp. 1 - 7
Main 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
Format: Journal Article
Language:English
Published: United States Elsevier Ltd 01-08-2017
Elsevier Limited
Subjects:
Accessibility
Autism
Autism Spectrum Disorder - diagnostic imaging
Autism spectrum disorders
Biomarkers
Brain
Brain - diagnostic imaging
Brain research
Children
Cloud computing
Complexity
Computational neuroscience
Computer architecture
Data acquisition
Data analysis
Data processing
Disorders
Female
Gene expression
Heterogeneity
Humans
Informatics
Interdisciplinary research
Internal Medicine
Internet
Learning algorithms
Machine learning
Magnetic Resonance Imaging
Male
Medical imaging
Mental disorders
Neuroimaging
Neuroimaging - methods
Neurology
NMR
Nuclear magnetic resonance
Other
Psychiatry
Researchers
Resource sharing
Structure-function relationships
Working conditions
World Wide Web
World wide web working environment
Neuroimaging
Autism spectrum disorders
World wide web working environment
Magnetic resonance imaging
Data processing
Resource sharing
Children
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Description
Summary: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 ASD is expected to support researchers in disentangling complex data thus facilitating their interpretation.
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ISSN:0010-4825
1879-0534
DOI:10.1016/j.compbiomed.2017.05.017