Overview

We present a publicly available dataset of 228 healthy participants comprising a young (N=154, 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 in our dataset descriptor paper (Babayan et al, 2019).

This dataset includes the available modalities:

Resting-state and anatomical and functional (also modified version) scan parameters from the scanner console are available in German. For scan parameters in English, please see the MRI Sequences Table and the two dataset descriptor papers.

Experimental Protocol

During the resting state scans, participants were instructed to remain awake with their eyes open and fixate on a low-contrast fixation cross on grey background. After the resting state scans, the participants were free to leave their eyes open or closed, or even sleep during the other scans.

Before imaging started, participants filled out the first Multidimensional Mood State Questionnaire (German MDBF). Once imaging was completed, participants were asked to fill out pen-and-paper version of the New York Cognition Questionnaire (NYC-Q).

References:

Data Release Download

Data for the Mind-Brain-Body dataset are available for download in an Amazon Web Services S3 bucket: fcp-indi/data/Projects/INDI/MPI-LEMON.

Each file in the S3 bucket can only be accessed using HTTP (i.e., no ftp or scp ). You can obtain a URL for each desired file and then download it using an HTTP client such as a web browser, wget, or curl. Each file can only be accessed using its literal name - wildcards (i.e. "*") will not work.

There are file transfer programs that can handle S3 natively and will allow you to navigate through the data using a file browser. Cyberduck is one such program that works with Windows and Mac OS X. Cyberduck also has a command line version that works with Windows, Mac OS X, and Linux. Instructions for using the Cyberduck program are as follows:

Cyberduck GUI

Alternatively, use the following links to directly download the data as individual .tar.gz files:

Personnel

Contact

Anahit Babayan: babayan@cbs.mpg.de

Arno Villringer: villringer@cbs.mpg.de

Publications using the Mind-Brain-Body Dataset

Data Sharing License

PDDL

Acknowledgments

We thank all participants who volunteered to participate in our study. Moreover, we thank Elizabeth Kelly for proofreading the manuscript and Heike Schmidt-Duderstedt for editing tables and figures.

Grants

None