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Title: NeuroView: a customizable browser-base utility      
dateReleased:
10-24-2016
privacy:
not applicable
aggregation:
instance of dataset
dateCreated:
10-19-2016
refinement:
curated
ID:
doi:10.5524/100237
creators:
Heinsfeld, Anibal Solon
Franco, Alexandre Rosa
Buchweitz, Augusto
Meneguzzi, Felipe
availability:
available
types:
sequence
description:
The amount of data acquired for an fMRI experiment dimension wise is very large and a challenge for neuroscience studies, in particular for data analysis and visualization. Diverse tools have been developed to confront these challenges, but their analytical results can differ. Addressing those differences is not facilitated by existing tools. The goal of this Brainhack project was to build a flexible utility to analyze fMRI experimental results. This utility is called NeuroView. NeuroView allows researchers to extend the visualizations to their context: every visual behavior or interactions of this tool is customizable. We implemented NeuroView to work in Web-browsers, using JavaScript and the libraries D3.js and jQuery.We create three tools using NeuroView to best analyze our research results: CC200 search, SVM coefficients and Connectivity matrix.This is an initial version of a browser-based neuroimage viewer. The main focus is to develop an embeddable viewer, instead of a standalone desktop software. By doing so, research results can be presented on interactive views, enriching their analysis and interpretation. In our case study, NeuroView facilitates quick evaluation of features for machine learning algorithms, and promotes discussion about them, since the results will inform researchers about their data.In future work, we aim to directly load Nifti images at client-side and support some AFNI features, such as voxel clustering.
accessURL: https://doi.org/10.5524/100237
storedIn:
GigaScience Database
qualifier:
not compressed
format:
HTML
accessType:
landing page
primary:
true
authentication:
none
authorization:
none
abbreviation:
GigaDB
homePage: http://gigadb.org/
ID:
SCR:006565
name:
Giga Science Database

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