Behavioral data for "A functional connectome phenotyping dataset including cognitive state and personality measures"

作者：Natacha Mendes, Sabine Oligschläger, Mark E. Lauckner, Johannes Golchert, Julia M. Huntenburg, Marcel Falkiewicz, Melissa Ellamil, Sarah Krause, Błażej M. Bączkowski, Roberto Cozatl, Anastasia Osoianu, Deniz Kumral, Jared Pool, Laura Golz, Maria Dreyer, Philipp Haueis, Rebecca Jost, Yelyzaveta Kramarenko, Haakon Engen, Katharina Ohrnberger, Krzysztof J. Gorgolewski, Nicolas Farrugia, Anahit Babayan, Andrea Reiter, H. Lina Schaare, Janis Reinelt, Josefin Röbbig, Marie Uhlig, Miray Erbey, Michael Gaebler, Jonathan Smallwood, Arno Villringer, Daniel S. Margulies · 发表于：Harvard Dataverse · 年份：2018 · DOI：10.7910/dvn/vmj6nv · 被引用次数：2 · 研究领域：Mental Health Research Topics

This dataset enables exploration of higher-order cognitive faculties, self-generated mental experience, and personality features in relation to the intrinsic functional architecture of the brain. 194 healthy participants (between 20 and 75 years of age) filled out 31 questionnaires, performed 7 tasks, and reported 4 probes of in-scanner mind-wandering. This dataset constitutes one part of the Leipzig Study for Mind-Body-Emotion Interactions database, and contains the behavioral measures for download.