title: RichMind: A Tool for Improved Inference from Large-Scale Neuroimaging Results.
abstract: 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.
authors.affiliation: Functional Brain Center, Wohl Institute for Advanced Imaging Tel-Aviv Sourasky Medical Center, Tel Aviv, Israel.|Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
authors.forename: Adi
authors.initials: A
authors.lastname: Maron-Katz
authors.affiliation: Blavatnik School of Computer Science, Tel-Aviv University, Tel Aviv 69978, Israel.
authors.forename: David
authors.initials: D
authors.lastname: Amar
authors.affiliation: Functional Brain Center, Wohl Institute for Advanced Imaging Tel-Aviv Sourasky Medical Center, Tel Aviv, Israel.|Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
authors.forename: Eti Ben
authors.initials: EB
authors.lastname: Simon
authors.affiliation: Functional Brain Center, Wohl Institute for Advanced Imaging Tel-Aviv Sourasky Medical Center, Tel Aviv, Israel.|Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.|School of Psychological Sciences, Tel Aviv University, Tel-Aviv 69978, Israel.|Sagol school of Neuroscience, Tel Aviv University, Tel Aviv, Israel.
authors.forename: Talma
authors.initials: T
authors.lastname: Hendler
authors.affiliation: Blavatnik School of Computer Science, Tel-Aviv University, Tel Aviv 69978, Israel.
authors.forename: Ron
authors.initials: R
authors.lastname: Shamir
mesh_terms: D000465:Algorithms; D001699:Biometry / Q000379:methods*; D001921:Brain / Q000502:physiology; D001931:Brain Mapping / Q000379:methods*; D060825:Cognitive Dysfunction / Q000000981:diagnostic imaging / Q000503:physiopathology; D003198:Computer Simulation; D004644:Emotions; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods; D008490:Medical Informatics / Q000379:methods*; D015233:Models, Statistical; D059906:Neuroimaging / Q000379:methods*