RichMind - analysis of enrichment within neuroimaging findings
RichMind is a computational tool that facilitates the interpretation of large-scale
experimental results from the analysis of neuroimaging data in a statistically sound
fashion. Given sets of neural positions, or sets of neural connections
(i.e., position pairs), RichMind tests for enrichment of a known brain mapping
(i.e. “annotation”) in the input, corrects the results
for multiple testing, and provides reports and brain visualizations of the detected
enrichments.
|
Get the software
RichMind is a research tool, still in the development stage.
Hence, it is not presented as error-free, accurate, complete, useful, suitable for any specific application or
free from any infringement of any rights.
The Software is licensed AS IS, entirely at the user's own risk.
Click here to download RichMind1.0 Matlab implementation |
Click here to open RichMind1.0 user manual |
Click here to download simulations data |
Click here to download data for case study 2 |
Citing RichMind
RichMind can be cited as follows:
Maron-Katz, A., Amar, D., Ben Simon., E, Hendler, T. and Shamir, R. RichMind: a tool for improved inference from large-scale neuroimaging results (to appear in PLoS One)
Get in touch
For questions or suggestions please contact
Adi Maron-Katz
hit counter