RichMind: A tool for improved inference from large-scale neuroimaging results

Adi Maron-Katz, David Amar, Eti Ben Simon, Talma Hendler, Ron Shamir

Research output: Contribution to journalArticlepeer-review


As the use of large-scale data-driven analysis becomes increasingly common, the need for robust methods for interpreting a large number of results increases. To date, neuroimaging attempts to interpret large-scale activity or connectivity results often turn to existing neural mapping based on previous literature. In case of a large number of results, manual selection or percent of overlap with existing maps is frequently used to facilitate interpretation, often without a clear statistical justification. Such methodology holds the risk of reporting false positive results and overlooking additional results. Here, we propose using enrichment analysis for improving the interpretation of large-scale neuroimaging results. We focus on two possible cases: position group analysis, where the identified results are a set of neural positions; and connection group analysis, where the identified results are a set of neural position-pairs (i.e. neural connections). We explore different models for detecting significant overrepresentation of known functional brain annotations using simulated and real data. We implemented our methods in a tool called RichMind, which provides both statistical significance reports and brain visualization. We demonstrate the abilities of RichMind by revisiting two previous fMRI studies. In both studies RichMind automatically highlighted most of the findings that were reported in the original studies as well as several additional findings that were overlooked. Hence, RichMind is a valuable new tool for rigorous inference from neuroimaging results.

Original languageEnglish
Article numbere0159643
JournalPLoS ONE
Issue number7
StatePublished - Jul 2016


FundersFunder number
Edmond J. Safra Center for Bioinformatics
Israel Science Foundation317/13
Tel Aviv University
Azrieli Foundation
Ministry of Science and Technology, Israel


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