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A functional connectome phenotyping dataset including cognitive state and personality measures
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...
| Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6371896/ https://www.ncbi.nlm.nih.gov/pubmed/30747913 http://dx.doi.org/10.1038/sdata.2018.307 |
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| author | Mendes, Natacha Oligschläger, Sabine Lauckner, Mark E. Golchert, Johannes Huntenburg, Julia M. Falkiewicz, Marcel Ellamil, Melissa Krause, Sarah Baczkowski, Blazej M. Cozatl, Roberto Osoianu, Anastasia Kumral, Deniz Pool, Jared Golz, Laura Dreyer, Maria Haueis, Philipp Jost, Rebecca Kramarenko, Yelyzaveta Engen, Haakon Ohrnberger, Katharina Gorgolewski, Krzysztof J. Farrugia, Nicolas Babayan, Anahit Reiter, Andrea Schaare, H. Lina Reinelt, Janis Röbbig, Josefin Uhlig, Marie Erbey, Miray Gaebler, Michael Smallwood, Jonathan Villringer, Arno Margulies, Daniel S. |
| author_facet | Mendes, Natacha Oligschläger, Sabine Lauckner, Mark E. Golchert, Johannes Huntenburg, Julia M. Falkiewicz, Marcel Ellamil, Melissa Krause, Sarah Baczkowski, Blazej M. Cozatl, Roberto Osoianu, Anastasia Kumral, Deniz Pool, Jared Golz, Laura Dreyer, Maria Haueis, Philipp Jost, Rebecca Kramarenko, Yelyzaveta Engen, Haakon Ohrnberger, Katharina Gorgolewski, Krzysztof J. Farrugia, Nicolas Babayan, Anahit Reiter, Andrea Schaare, H. Lina Reinelt, Janis Röbbig, Josefin Uhlig, Marie Erbey, Miray Gaebler, Michael Smallwood, Jonathan Villringer, Arno Margulies, Daniel S. |
| author_sort | Mendes, Natacha |
| collection | PubMed |
| description | 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. |
| format | Online Article Text |
| id | pubmed-6371896 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2019 |
| publisher | Nature Publishing Group |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-63718962019-02-13 A functional connectome phenotyping dataset including cognitive state and personality measures Mendes, Natacha Oligschläger, Sabine Lauckner, Mark E. Golchert, Johannes Huntenburg, Julia M. Falkiewicz, Marcel Ellamil, Melissa Krause, Sarah Baczkowski, Blazej M. Cozatl, Roberto Osoianu, Anastasia Kumral, Deniz Pool, Jared Golz, Laura Dreyer, Maria Haueis, Philipp Jost, Rebecca Kramarenko, Yelyzaveta Engen, Haakon Ohrnberger, Katharina Gorgolewski, Krzysztof J. Farrugia, Nicolas Babayan, Anahit Reiter, Andrea Schaare, H. Lina Reinelt, Janis Röbbig, Josefin Uhlig, Marie Erbey, Miray Gaebler, Michael Smallwood, Jonathan Villringer, Arno Margulies, Daniel S. Sci Data Data Descriptor 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. Nature Publishing Group 2019-02-12 /pmc/articles/PMC6371896/ /pubmed/30747913 http://dx.doi.org/10.1038/sdata.2018.307 Text en Copyright © 2019, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article. |
| spellingShingle | Data Descriptor Mendes, Natacha Oligschläger, Sabine Lauckner, Mark E. Golchert, Johannes Huntenburg, Julia M. Falkiewicz, Marcel Ellamil, Melissa Krause, Sarah Baczkowski, Blazej M. Cozatl, Roberto Osoianu, Anastasia Kumral, Deniz Pool, Jared Golz, Laura Dreyer, Maria Haueis, Philipp Jost, Rebecca Kramarenko, Yelyzaveta Engen, Haakon Ohrnberger, Katharina Gorgolewski, Krzysztof J. Farrugia, Nicolas Babayan, Anahit Reiter, Andrea Schaare, H. Lina Reinelt, Janis Röbbig, Josefin Uhlig, Marie Erbey, Miray Gaebler, Michael Smallwood, Jonathan Villringer, Arno Margulies, Daniel S. A functional connectome phenotyping dataset including cognitive state and personality measures |
| title | A functional connectome phenotyping dataset including cognitive state and personality measures |
| title_full | A functional connectome phenotyping dataset including cognitive state and personality measures |
| title_fullStr | A functional connectome phenotyping dataset including cognitive state and personality measures |
| title_full_unstemmed | A functional connectome phenotyping dataset including cognitive state and personality measures |
| title_short | A functional connectome phenotyping dataset including cognitive state and personality measures |
| title_sort | functional connectome phenotyping dataset including cognitive state and personality measures |
| topic | Data Descriptor |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6371896/ https://www.ncbi.nlm.nih.gov/pubmed/30747913 http://dx.doi.org/10.1038/sdata.2018.307 |
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