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Data sharing in neuroimaging research

Jean-Baptiste Poline, Janis L. Breeze, Satrajit Ghosh, Krzysztof Gorgolewski, Yaroslav O. Halchenko, Michael Hanke, Christian Haselgrove, Karl G. Helmer, David B. Keator, Daniel S. Marcus, Russell A. Poldrack, Yannick Schwartz (+2 others)
2012 Frontiers in Neuroinformatics  
By providing seamless integration of data sharing and analysis tools within a commodity research environment, the Task Force seeks to identify and minimize barriers to data sharing in the field of neuroimaging  ...  The use of electronic data capture (EDC) methods for neuroimaging greatly simplifies the task of data collection and has the potential to help standardize many aspects of data sharing.  ...  This again points to the need for software tools able to capture and release data at different stages of their acquisition and analysis.  ... 
doi:10.3389/fninf.2012.00009 pmid:22493576 pmcid:PMC3319918 fatcat:f4cgaldeuraavmcnxqrsisdebe

fMRI neuroinformatics

F.A. Nielsen, M.S. Christ, K.H. Madsen, T.E. Lund, L.K. Hansen
2006 IEEE Engineering in Medicine and Biology Magazine  
Histogram of the tools used for analysis of functional neuroimaging experiments (including fMRI and PET) as recorded in the Brede Database.  ...  Reconstruction, rudimentary analysis and visualization tools are implemented in software controlling modern MRI scanners.  ...  Table 1 : Tools for fMRI processing and analysis. "ROI" is dedicated region of interest (region-based) functionality.  ... 
doi:10.1109/memb.2006.1607675 pmid:16568943 fatcat:3yi76cewqvefpnc3t6pjbyykzu

The Functional Magnetic Resonance Imaging Data Center (fMRIDC): the challenges and rewards of large-scale databasing of neuroimaging studies

J. D. Van Horn, J. S. Grethe, P. Kostelec, J. B. Woodward, J. A. Aslam, D. Rus, D. Rockmore, M. S. Gazzaniga
2001 Philosophical Transactions of the Royal Society of London. Biological Sciences  
¢c community may more easily share functional neuroimaging data.  ...  By building a publicly accessible repository of raw data from peerreviewed studies, the Data Center hopes to create a similarly successful environment for the neurosciences.  ...  A fundamental technique for the retrospective analysis of published data is that of meta-analysi s (e.g. the`analysis of analyses').  ... 
doi:10.1098/rstb.2001.0916 pmid:11545705 pmcid:PMC1088517 fatcat:eegvyrf3i5aunja2gwu4uuaesm

FLUX Satellite 2018 - From Big Data to Big Knowledge [article]

Russell Poldrack
2018 Figshare  
Acknowledgments The Poldrack Lab @ Stanford  ...  There is increasing interest in using the tools of machine learning to identify signals that can allow brain-reading, or prediction of mental states or behavior directly from neuroimaging data (O'Toole  ...  These tools, known as classifiers, are first trained on functional magnetic resonance imaging (fMRI) data from one subset of the participant's data (insample data) and then used to make predictions about  ... 
doi:10.6084/m9.figshare.6227126 fatcat:nmxqcs7epfdvjc7byzsuzi2hxi

A Visualization Tool for fMRI Data Mining

N.D. Cornea, U. Ibraev, D. Silver, P. Kantor, A. Shokoufandeh, J. Abrahamson, S. Dickinson
IEEE Visualization 2005 - (VIS'05)  
This can provide valuable insight into the data or the analysis methodologies being studied.  ...  OF THE THESIS A Visualization Tool for fMRI Data Mining by NICU DANIEL CORNEA Thesis Director: Professor Deborah Silver fMRI is an imaging technique that is used to understand brain functionality.  ...  These include: AFNI (Analysis of Functional NeuroImages) [4], FSL (FMRIB Software Library) [14], VoxBo [39], RUMBA (Rutgers University Mind Brain Analysis) [31], etc.  ... 
doi:10.1109/vis.2005.8 dblp:conf/visualization/CorneaISKSAD05 fatcat:ru4g65kkkbdqtpwhdgnol5luwe

Proceedings of the 26th European Paediatric Rheumatology Congress: part 2

2020 Pediatric Rheumatology Online Journal  
Quality control of the chip was carried out using Chromosome Analysis Suite software.  ...  This study shows the quantitative data of the videocapilaroscopic analysis, and therefore it is proposed as a possible tool for the diagnosis and monitoring of RD in pediatric patients.  ...  Clinical, neuroimaging, laboratory and treatment data were reviewed, focusing on pediatric score outcome measure (PSOM) and executive functions final outcome.  ... 
doi:10.1186/s12969-020-00470-5 fatcat:nv6johwszjg65cjpe7planfdty

Poster Presentations: pp. 119–192

2011 Hormone Research in Paediatrics  
At the heart of the EuroDSD collaboration is a DSD Register that supports the sharing of DSD data. Methods: Over the past 12 months the DSD Register has remained central to the EuroDSD project.  ...  This mutation was predicted to affect protein function with a highly deleterious tolerance index score using the sequence homology based SIFT tool, and by the structure-based approach PolyPhen.  ...  Microarray analysis revealed loss of heterozygosity for PTH.  ... 
doi:10.1159/000334327 fatcat:7dblph35evfatgk3rylwfzeebi

Brain Health in Older Latinos: Associations with Physical Activity Levels and the Impact of BAILAMOSᵀᴹ

Guilherme Moraes Balbim
2020
Data analysis procedures included: two-way ANCOVA controlling for attendance, multiple linear regression models, paired t-tests, and Pearson correlation.  ...  BAILAMOSᵀᴹ is comprised of four Latin dance styles with 60min twice a week classes for four months. Participants responded to the CHAMPS Physical Activity Questionnaire in the three manuscripts.  ...  Sequences relevant for this data analysis were highresolution three-dimensional T1-and T2-weighted images and diffusion MRI.b0 image using the FSL eddy-correct tool to correct for head motion and eddy  ... 
doi:10.25417/uic.13475145.v1 fatcat:efsejj3opbeordavh7yffouesq