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
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
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