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

Title: A mind-brain-body dataset of MRI, EEG, cognition, emotion, and peripheral physiology in young and old adults
Authors: Babayan, Anahit; Erbey, Miray; Kumral, Deniz; Reinelt, Janis, D; Reiter, Andrea, M F; Röbbig, Josefin; Schaare, H Lina; Uhlig, Marie; Anwander, Alfred; Bazin, Pierre-Louis; Horstmann, Annette; Lampe, Leonie; Nikulin, Vadim, V; Okon-Singer, Hadas; Preusser, Sven; Pampel, André; Rohr, Christiane, S; Sacher, Julia; Thöne-Otto, Angelika; Trapp, Sabrina; Nierhaus, Till; Altmann, Denise; Arelin, Katrin; Blöchl, Maria; Bongartz, Edith; Breig, Patric; Cesnaite, Elena; Chen, Sufang; Cozatl, Roberto; Czerwonatis, Saskia; Dambrauskaite, Gabriele; Dreyer, Maria; Enders, Jessica; Engelhardt, Melina; Fischer, Marie Michele; Forschack, Norman; Golchert, Johannes; Golz, Laura; Guran, C Alexandrina; Hedrich, Susanna; Hentschel, Nicole; Hoffmann, Daria, I; Huntenburg, Julia, M; Jost, Rebecca; Kosatschek, Anna; Kunzendorf, Stella; Lammers, Hannah; Lauckner, Mark, E; Mahjoory, Keyvan; Kanaan, Ahmad, S; Mendes, Natacha; Menger, Ramona; Morino, Enzo; Näthe, Karina; Neubauer, Jennifer; Noyan, Handan; Oligschläger, Sabine; Panczyszyn-Trzewik, Patricia; Poehlchen, Dorothee; Putzke, Nadine; Roski, Sabrina; Schaller, Marie-Catherine; Schieferbein, Anja; Schlaak, Benito; Schmidt, Robert; Gorgolewski, Krzysztof, J; Schmidt, Hanna Maria; Schrimpf, Anne; Stasch, Sylvia; Voss, Maria; Wiedemann, Annett; Margulies, Daniel, S; Gaebler, Michael; Villringer, Arno
Contributors: Max Planck Institute for Human Cognitive and Brain Sciences Leipzig (IMPNSC); Max-Planck-Gesellschaft; Berlin School of Mind and Brain Berlin; Humboldt-Universität zu Berlin = Humboldt University of Berlin = Université Humboldt de Berlin (HU Berlin); Max Planck Institute for Human Development; Technische Universität Dresden = Dresden University of Technology (TU Dresden); Spinoza Center for Neuroimaging Amsterdam; Netherlands Institute for Neuroscience (NIN); Royal Netherlands Academy of Arts and Sciences (KNAW); Leipzig University / Universität Leipzig; Ǧāmiʿat͏̈ Hayfā = University of Haifa; University Hospital Leipzig = Universitätsklinikum Leipzig; Stanford University; Institut du Cerveau = Paris Brain Institute (ICM); Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière AP-HP; Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
Source: ISSN: 2052-4463.
Publisher Information: CCSD; Nature Publishing Group
Publication Year: 2019
Subject Terms: MESH: Adult; MESH: Age Factors; MESH: Female; MESH: Germany; MESH: Humans; MESH: Magnetic Resonance Imaging; MESH: Male; MESH: Middle Aged; MESH: Psychophysiology; MESH: Young Adult; MESH: Aged; MESH: Cognition; MESH: Electroencephalography; MESH: Emotions; [SDV]Life Sciences [q-bio]
Description: International audience ; 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.
Document Type: article in journal/newspaper
Language: English
Relation: info:eu-repo/semantics/altIdentifier/pmid/30747911; PUBMED: 30747911; PUBMEDCENTRAL: PMC6371893
DOI: 10.1038/sdata.2018.308
Availability: https://hal.sorbonne-universite.fr/hal-04423635; https://hal.sorbonne-universite.fr/hal-04423635v1/document; https://hal.sorbonne-universite.fr/hal-04423635v1/file/sdata2018308.pdf; https://doi.org/10.1038/sdata.2018.308
Rights: http://creativecommons.org/licenses/by/ ; info:eu-repo/semantics/OpenAccess
Accession Number: edsbas.E000F27B
Database: BASE