A functional connectome phenotyping dataset including cognitive state and personality measures

Natacha Mendes; Sabine Oligschläger; Mark Edgar Lauckner; Johannes Golchert; Julia M. Huntenburg; Marcel Falkiewicz; Melissa Ellamil; Sarah Krause; Błażej M. Bączkowski; Roberto Cozatl; Anastasia Osoianu; Deniz Kumral; Jared M. Pool; Laura Golz; Maria V. Dreyer; Philipp Haueis; Rebecca Jost; Yelyzaveta Kramarenko; Haakon Gabrielsen Engen; Katharina Ohrnberger; Krzysztof J. Gorgolewski; Nicolas Farrugia; Anahit Babayan; Andrea M. F. Reiter; H. Lina Schaare; Janis D. Reinelt; Josefin Röbbig; Marie Uhlig; Miray Erbey; Michael Gaebler

doi:10.1038/sdata.2018.307

NeuroscienceScientific DataFeb 12, 2019

Peer-reviewed journal article

A functional connectome phenotyping dataset including cognitive state and personality measures

Natacha Mendes, Sabine Oligschläger, Mark Edgar Lauckner, Johannes Golchert, Julia M. Huntenburg iD, Marcel Falkiewicz iD, Melissa Ellamil, Sarah Krause, Błażej M. Bączkowski iD, Roberto Cozatl iD, Anastasia Osoianu, Deniz Kumral iD, Jared M. Pool, Laura Golz, Maria V. Dreyer, Philipp Haueis iD, Rebecca Jost iD, Yelyzaveta Kramarenko, Haakon Gabrielsen Engen iD, Katharina Ohrnberger, Krzysztof J. Gorgolewski iD, Nicolas Farrugia iD, Anahit Babayan iD, Andrea M. F. Reiter iD, H. Lina Schaare iD, , Daniel S. Margulies iD

Abstract

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 high-resolution structural scan using a 3D MP2RAGE sequence. This dataset constitutes one part of the MPI-Leipzig Mind-Brain-Body database.

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