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. 2019 Feb 12:6:180308.
doi: 10.1038/sdata.2018.308.

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

Anahit Babayan  1   2 , Miray Erbey  1   2   3 , Deniz Kumral  1   2 , Janis D Reinelt  1 , Andrea M F Reiter  1   4   5   6 , Josefin Röbbig  1 , H Lina Schaare  1   4 , Marie Uhlig  1   4 , Alfred Anwander  7 , Pierre-Louis Bazin  1   8   9 , Annette Horstmann  1   10 , Leonie Lampe  1 , Vadim V Nikulin  1 , Hadas Okon-Singer  1   11 , Sven Preusser  1 , André Pampel  12 , Christiane S Rohr  1 , Julia Sacher  1 , Angelika Thöne-Otto  1   13 , Sabrina Trapp  1 , Till Nierhaus  1 , Denise Altmann  1 , Katrin Arelin  1 , Maria Blöchl  4   14 , Edith Bongartz  1 , Patric Breig  1 , Elena Cesnaite  1 , Sufang Chen  1 , Roberto Cozatl  15 , Saskia Czerwonatis  1 , Gabriele Dambrauskaite  1 , Maria Dreyer  1 , Jessica Enders  1 , Melina Engelhardt  1 , Marie Michele Fischer  1 , Norman Forschack  1 , Johannes Golchert  16 , Laura Golz  1 , C Alexandrina Guran  1 , Susanna Hedrich  1 , Nicole Hentschel  1 , Daria I Hoffmann  1 , Julia M Huntenburg  16 , Rebecca Jost  1 , Anna Kosatschek  1 , Stella Kunzendorf  1 , Hannah Lammers  1 , Mark E Lauckner  16 , Keyvan Mahjoory  1 , Ahmad S Kanaan  12 , Natacha Mendes  16 , Ramona Menger  1 , Enzo Morino  1 , Karina Näthe  17 , Jennifer Neubauer  1 , Handan Noyan  1 , Sabine Oligschläger  16 , Patricia Panczyszyn-Trzewik  1 , Dorothee Poehlchen  1 , Nadine Putzke  1 , Sabrina Roski  1 , Marie-Catherine Schaller  1 , Anja Schieferbein  1 , Benito Schlaak  1 , Robert Schmidt  18 , Krzysztof J Gorgolewski  19 , Hanna Maria Schmidt  1 , Anne Schrimpf  1 , Sylvia Stasch  1 , Maria Voss  1 , Annett Wiedemann  1 , Daniel S Margulies  16 , Michael Gaebler  1   2   20 , Arno Villringer  1   2
Affiliations

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

Anahit Babayan et al. Sci Data. .

Abstract

We present a publicly available dataset of 227 healthy participants comprising a young (N=153, 25.1±3.1 years, range 20-35 years, 45 female) and an elderly group (N=74, 67.6±4.7 years, range 59-77 years, 37 female) acquired cross-sectionally in Leipzig, Germany, between 2013 and 2015 to study mind-body-emotion interactions. During a two-day assessment, participants completed MRI at 3 Tesla (resting-state fMRI, quantitative T1 (MP2RAGE), T2-weighted, FLAIR, SWI/QSM, DWI) and a 62-channel EEG experiment at rest. During task-free resting-state fMRI, cardiovascular measures (blood pressure, heart rate, pulse, respiration) were continuously acquired. Anthropometrics, blood samples, and urine drug tests were obtained. Psychiatric symptoms were identified with Standardized Clinical Interview for DSM IV (SCID-I), Hamilton Depression Scale, and Borderline Symptoms List. Psychological assessment comprised 6 cognitive tests as well as 21 questionnaires related to emotional behavior, personality traits and tendencies, eating behavior, and addictive behavior. We provide information on study design, methods, and details of the data. This dataset is part of the larger MPI Leipzig Mind-Brain-Body database.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1. Overview of data acquisition.
Measures are listed in their order of acquisition and time duration on each assessment day.
Figure 2
Figure 2. Quality assessment of resting-state fMRI scans.
Distribution of motion (maximum and mean framewise displacement).
See this image and copyright information in PMC

Dataset use reported in

References

Data Citations

    1. 2018. Functional Connectomes Project International Neuroimaging Data-Sharing Initiative. - DOI
    1. 2017. OpenNeuro. - DOI

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