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  A functional connectome phenotyping dataset including cognitive state and personality measures

Mendes, N., Oligschläger, S., Lauckner, M., Golchert, J., Huntenburg, J. M., Falkiewicz, M., et al. (2019). A functional connectome phenotyping dataset including cognitive state and personality measures. Scientific Data, 6: 180307. doi:10.1038/sdata.2018.307.

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 Creators:
Mendes, Natacha1, Author           
Oligschläger, Sabine1, 2, Author           
Lauckner, Mark3, Author           
Golchert, Johannes1, Author           
Huntenburg, Julia M.1, 2, Author           
Falkiewicz, Marcel1, Author           
Ellamil, Melissa1, Author           
Krause , Sarah1, Author
Baczkowski, Blazej1, 2, 4, Author           
Cozatl, Roberto5, Author           
Osoianu, Anastasia 1, 2, Author
Kumral, Deniz2, 3, Author           
Pool, Jared1, Author           
Golz, Laura1, 2, Author
Paerisch, Maria3, Author           
Haueis, Philipp1, 2, Author           
Jost , Rebecca1, Author
Kramarenko, Yelyzaveta 1, Author
Engen, Haakon G.2, 6, Author           
Ohrnberger, Katharina1, 2, Author           
Gorgolewski, Krzysztof J.2, Author           Farrugia, Nicolas2, Author           Babayan, Anahit3, Author           Reiter, Andrea2, 3, Author           Schaare, Herma Lina3, 4, Author           Reinelt, Janis3, Author           Röbbig, Josefin3, Author           Uhlig, Marie3, 4, Author           Erbey, Miray3, Author           Gaebler, Michael2, 3, Author           Smallwood, Jonathan2, Author           Villringer, Arno2, 3, Author           Margulies, Daniel S.1, Author            more..
Affiliations:
1Max Planck Research Group Neuroanatomy and Connectivity, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_1356546              
2External Organizations, ou_persistent22              
3Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
4International Max Planck Research School on Neuroscience of Communication: Function, Structure, and Plasticity, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2616696              
5MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634548              
6Department Social Neuroscience, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634552              

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Free keywords: Brain imaging; Functional magnetic resonance imaging; Human behaviour; Personality
 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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Language(s): eng - English
 Dates: 2017-10-272018-11-052019-02-12
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1038/sdata.2018.307
PMID: 30747913
PMC: PMC6371896
 Degree: -

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Project name : -
Grant ID : 89 440
Funding program : -
Funding organization : Volkswagen Foundation

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Title: Scientific Data
  Abbreviation : Sci. Data
Source Genre: Journal
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Affiliations:
Publ. Info: London, United Kingdom : Nature Publishing Group
Pages: - Volume / Issue: 6 Sequence Number: 180307 Start / End Page: - Identifier: ISSN: 2052-4463
CoNE: https://pure.mpg.de/cone/journals/resource/2052-4463