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

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

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

Institut für Psychologie

301 Zitate (Scopus)

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.

Originalsprache	Englisch
Aufsatznummer	180308
Zeitschrift	Scientific Data
Jahrgang	6
Seiten (von - bis)	180308
ISSN	2052-4463
DOIs	https://doi.org/10.1038/sdata.2018.308
Publikationsstatus	Veröffentlicht - 12.02.2019

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10.1038/sdata.2018.308

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Babayan, A., Erbes, M., Kumral, D., Reinelt, J. D., Reiter, A. M. F., Röbbig, J., Schaare, H. L., Uhlig, M., Anwander, A., Bazin, P.-L., Horstmann, A., Lampe, L., Nikulin, V. V., Okon-Singer, H., Preusser, S., Pampel, A., Rohr, C. S., Sacher, J., Thöne-Otto, A., ... Villringer, A. (2019). A mind-brain-body dataset of MRI, EEG, cognition, emotion, and peripheral physiology in young and old adults. Scientific Data, 6, 180308. Artikel 180308. https://doi.org/10.1038/sdata.2018.308

@article{8c7fd24968bf427882da36ea6a384222,

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

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.",

author = "Anahit Babayan and Miray Erbes and Deniz Kumral and Reinelt, \{Janis D.\} and Reiter, \{Andrea M.F.\} and Josefin R{\"o}bbig and Schaare, \{H. Lina\} and Marie Uhlig and Alfred Anwander and Pierre-Louis Bazin and Annette Horstmann and Leonie Lampe and Nikulin, \{Vadim V.\} and Hadas Okon-Singer and Sven Preusser and Andr{\'e} Pampel and Rohr, \{Christiane S.\} and Julia Sacher and Angelika Th{\"o}ne-Otto and Sabrina Trapp and Till Nierhaus and Denise Altmann and Katrin Arelin and Maria Bl{\"o}chl and Edith Bongartz and Patric Breig and Elesna Cesnaite and Sufang Chen and Roberto Cozatl and Saskia Czerwonatis and Gabriele Dambrauskaite and Maria Dreyer and Jessica Enders and Melina Engelhardt and Fischer, \{Marie Michele\} and Norman Forschack and Johannes Golchert and Laura Golz and Alexandrina Guran and Susanna Hedrich and Nicole Hentschel and Hoffmann, \{Daria I.\} and Huntenburg, \{Julia M.\} and Rebecca Jost and Anna Kosatschek and Stella Kunzendorf and Hannah Lammers and Lauckner, \{Mark E.\} and Keyvan Mahjoory and Kanaan, \{Ahmad S.\} and Natacha Mendes and Ramona Menger and Enzo Morino and Karina N{\"a}the and Jennifer Neubauer and Handan Noyan and Sabine Oligschl{\"a}ger and Patricia Panczyszyn-Trzewik and Dorothee Poehlchen and Nadine Putzke and Sabrina Roski and Marie-Catherine Schaller and Anja Schieferbein and Benito Schlaak and Robert Schmidt and Gorgolewski, \{Krzysztof J.\} and Schmidt, \{Hanna Maria\} and Anne Schrimpf and Sylvia Stasch and Maria Voss and Annett Wiedemann and Margulies, \{Daniel S.\} and Michael Gaebler and Arno Villringer",

year = "2019",

month = feb,

day = "12",

doi = "10.1038/sdata.2018.308",

language = "English",

volume = "6",

pages = "180308",

journal = "Scientific Data",

issn = "2052-4463",

publisher = "Nature Publishing Group",

}

Babayan, A, Erbes, M, Kumral, D, Reinelt, JD, Reiter, AMF, Röbbig, J, Schaare, HL, Uhlig, M, Anwander, A, Bazin, P-L, Horstmann, A, Lampe, L, Nikulin, VV, Okon-Singer, H, Preusser, S, Pampel, A, Rohr, CS, Sacher, J, Thöne-Otto, A, Trapp, S, Nierhaus, T, Altmann, D, Arelin, K, Blöchl, M, Bongartz, E, Breig, P, Cesnaite, E, Chen, S, Cozatl, R, Czerwonatis, S, Dambrauskaite, G, Dreyer, M, Enders, J, Engelhardt, M, Fischer, MM, Forschack, N, Golchert, J, Golz, L, Guran, A, Hedrich, S, Hentschel, N, Hoffmann, DI, Huntenburg, JM, Jost, R, Kosatschek, A, Kunzendorf, S, Lammers, H, Lauckner, ME, Mahjoory, K, Kanaan, AS, Mendes, N, Menger, R, Morino, E, Näthe, K, Neubauer, J, Noyan, H, Oligschläger, S, Panczyszyn-Trzewik, P, Poehlchen, D, Putzke, N, Roski, S, Schaller, M-C, Schieferbein, A, Schlaak, B, Schmidt, R, Gorgolewski, KJ, Schmidt, HM, Schrimpf, A, Stasch, S, Voss, M, Wiedemann, A, Margulies, DS, Gaebler, M & Villringer, A 2019, 'A mind-brain-body dataset of MRI, EEG, cognition, emotion, and peripheral physiology in young and old adults', Scientific Data, Jg. 6, 180308, S. 180308. https://doi.org/10.1038/sdata.2018.308

TY - JOUR

T1 - A mind-brain-body dataset of MRI, EEG, cognition, emotion, and peripheral physiology in young and old adults

AU - Babayan, Anahit

AU - Erbes, Miray

AU - Kumral, Deniz

AU - Reinelt, Janis D.

AU - Reiter, Andrea M.F.

AU - Röbbig, Josefin

AU - Schaare, H. Lina

AU - Uhlig, Marie

AU - Anwander, Alfred

AU - Bazin, Pierre-Louis

AU - Horstmann, Annette

AU - Lampe, Leonie

AU - Nikulin, Vadim V.

AU - Okon-Singer, Hadas

AU - Preusser, Sven

AU - Pampel, André

AU - Rohr, Christiane S.

AU - Sacher, Julia

AU - Thöne-Otto, Angelika

AU - Trapp, Sabrina

AU - Nierhaus, Till

AU - Altmann, Denise

AU - Arelin, Katrin

AU - Blöchl, Maria

AU - Bongartz, Edith

AU - Breig, Patric

AU - Cesnaite, Elesna

AU - Chen, Sufang

AU - Cozatl, Roberto

AU - Czerwonatis, Saskia

AU - Dambrauskaite, Gabriele

AU - Dreyer, Maria

AU - Enders, Jessica

AU - Engelhardt, Melina

AU - Fischer, Marie Michele

AU - Forschack, Norman

AU - Golchert, Johannes

AU - Golz, Laura

AU - Guran, Alexandrina

AU - Hedrich, Susanna

AU - Hentschel, Nicole

AU - Hoffmann, Daria I.

AU - Huntenburg, Julia M.

AU - Jost, Rebecca

AU - Kosatschek, Anna

AU - Kunzendorf, Stella

AU - Lammers, Hannah

AU - Lauckner, Mark E.

AU - Mahjoory, Keyvan

AU - Kanaan, Ahmad S.

AU - Mendes, Natacha

AU - Menger, Ramona

AU - Morino, Enzo

AU - Näthe, Karina

AU - Neubauer, Jennifer

AU - Noyan, Handan

AU - Oligschläger, Sabine

AU - Panczyszyn-Trzewik, Patricia

AU - Poehlchen, Dorothee

AU - Putzke, Nadine

AU - Roski, Sabrina

AU - Schaller, Marie-Catherine

AU - Schieferbein, Anja

AU - Schlaak, Benito

AU - Schmidt, Robert

AU - Gorgolewski, Krzysztof J.

AU - Schmidt, Hanna Maria

AU - Schrimpf, Anne

AU - Stasch, Sylvia

AU - Voss, Maria

AU - Wiedemann, Annett

AU - Margulies, Daniel S.

AU - Gaebler, Michael

AU - Villringer, Arno

PY - 2019/2/12

Y1 - 2019/2/12

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85061348419

UR - http://www.mendeley.com/research/data-descriptor-mindbrainbody-dataset-mri-eeg-cognition-emotion-peripheral-physiology-young-old-adul

U2 - 10.1038/sdata.2018.308

DO - 10.1038/sdata.2018.308

M3 - Journal articles

C2 - 30747911

SN - 2052-4463

VL - 6

SP - 180308

JO - Scientific Data

JF - Scientific Data

M1 - 180308

ER -

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

Abstract

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