A functional connectome phenotyping dataset including cognitive state and personality measures

Natacha Mendes; Sabine Oligschläger; Mark E. Lauckner; Johannes Golchert; Julia M. Huntenburg; Marcel Falkiewicz; Melissa Ellamil; Sarah Krause; Blazej M. Baczkowski; 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

doi:10.1038/sdata.2018.307

journal article Open Access Feb 12, 2019

A functional connectome phenotyping dataset including cognitive state and personality measures

Natacha Mendes Sabine Oligschläger Mark E. Lauckner Johannes Golchert Julia M. Huntenburg Marcel Falkiewicz Melissa Ellamil Sarah Krause Blazej M. Baczkowski

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

Scientific Data Vol. 6 No. 1 · Springer Science and Business Media LLC

View at Publisher Save 10.1038/sdata.2018.307

Abstract

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 hig h-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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A mind-brain-body dataset of MRI, EEG, cognition, emotion, and peripheral physiology in young and old adults

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Scientific Data

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Details

Published: Feb 12, 2019
Vol/Issue: 6(1)
License: View

Authors

Department of Philosophy Bielefeld University Bielefeld Germany; Institute of Philosophy Leibniz University Hannover Hannover Germany

R

Rebecca Jost

Y

Yelyzaveta Kramarenko

Krzysztof J. Gorgolewski

Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences; Humboldt-Universität zu Berlin, Faculty of Philosophy, Berlin School of Mind and Brain

Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; LIFE – Leipzig Research Center for Civilization Diseases, University of Leipzig, Germany; Clinic for Cognitive Neurology, University Hospital Leipzig, University of Leipzig, Leipzig, Germany

D

Daniel S. Margulies

Cite This Article

Natacha Mendes, Sabine Oligschläger, Mark E. Lauckner, et al. (2019). A functional connectome phenotyping dataset including cognitive state and personality measures. Scientific Data, 6(1). https://doi.org/10.1038/sdata.2018.307

A functional connectome phenotyping dataset including cognitive state and personality measures

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