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：Scientific Data · 年份：2019 · DOI：10.1038/sdata.2018.307 · 被引用次数：111 · 研究领域：Functional Brain Connectivity Studies、Mind wandering and attention、Mental Health Research Topics

The 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. We provide multimodal magnetic resonance imaging (MRI) data and a broad set of state and trait phenotypic assessments: mind-wandering, personality traits, and cognitive abilities. Specifically, 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. The scanning session included four 15.5-min resting-state functional MRI runs using a multiband EPI sequence and a hig h-resolution structural scan using a 3D MP2RAGE sequence. This dataset constitutes one part of the MPI-Leipzig Mind-Brain-Body database.