MPI-Leipzig_Mind-Brain-Body

The MPI-Leipzig Mind-Brain-Body dataset contains MRI and behavioral data from 318 participants. Datasets for all participants include at least a structural quantitative T1-weighted image and a single 15-minute eyes-open resting-state fMRI session.

The participants took part in one or two extended protocols: Leipzig Mind-Body-Brain Interactions (LEMON) and Neuroanatomy & Connectivity Protocol (N&C). The data from LEMON protocol is included in the ‘ses-01’ subfolder; the data from N&C protocol in ‘ses-02’ subfolder.

LEMON focuses on structural imaging. 228 participants were scanned. In addition to the quantitative T1-weighted image, the participants also have a structural T2-weighted image (226 participants), a diffusion-weighted image with 64 directions (228) and a 15-minute eyes-open resting-state session (228). New imaging sequences were introduced into the LEMON protocol after data acquisition for approximately 110 participants. Before the change, a low-resolution 2D FLAIR images were acquired for clinical purposes (110). After the change, 2D FLAIR was replaced with high-resolution 3D FLAIR (117). The second addition was the acquisition of gradient-echo images (112) that can be used for Susceptibility-Weighted Imaging (SWI) and Quantitative Susceptibility Mapping (QSM).

The N&C protocol focuses on resting-state fMRI data. 199 participants were scanned with this protocol; 109 participants also took part in the LEMON protocol. Structural data was not acquired for the overlapping LEMON participants. For the unique N&C participants, only a T1-weighted and a low-resolution FLAIR image were acquired. Four 15-minute runs of eyes-open resting-state are the main component of N&C; they are complete for 194 participants, three participants have 3 runs, one participant has 2 runs and one participant has a single run. Due to a bug in multiband sequence used in this protocol, the echo time for N&C resting-state is longer than in LEMON — 39.4 ms vs 30 ms.

Forty-five participants have complete imaging data: quantitative T1-weighted, T2-weighted, high-resolution 3D FLAIR, DWI, GRE and 75 minutes of resting-state. Both gradient-echo and spin-echo field maps are available in both datasets for all EPI-based sequences (rsfMRI and DWI).

Extensive behavioral data was acquired in both protocols. They include trait and state questionnaires, as well as behavioral tasks. Here we only list the tasks; more extenstive descriptions are available in the manuscripts.

# LEMON QUESTIONNAIRES/TASKS [not yet released]

California Verbal Learning Test (CVLT)
Testbatterie zur Aufmerksamkeitsprüfung (TAP Alertness, Incompatibility, Working Memory)
Trail Marking Test (TMT)
Wortschatztest (WST)
Leistungsprüfungssystem 2 (LPS-2)
Regensburger Wortflüssigkeitstest (RWT)

NEO Five-Factor Inventory (NEO-FFI)
Impulsive Behavior Scale (UPPS)
Behavioral Inhibition and Approach System (BISBAS)
Cognitive Emotion Regulation Questionnaire (CERQ)
Measure of Affective Style (MARS)
Fragebogen zur Sozialen Unterstützung (F-SozU K)
The Multidimensional Scale of Perceived Social Support (MSPSS)
Coping Orientations to Problems Experienced (COPE)
Life Orientation Test-Revised (LOT-R)
Perceived Stress Questionnaire (PSQ)
the Trier Inventory of Chronic Stress (TICS)
The three-factor eating questionnaire (TFEQ)
Yale Food Addiction Scale (YFAS)
The Trait Emotional Intelligence Questionnaire (TEIQue-SF)
Trait Scale of the State-Trait Anxiety Inventory (STAI)
State-Trait Anger expression Inventory (STAXI)
Toronto-Alexithymia Scale (TAS)
Multidimensional Mood Questionnaire (MDMQ)
New York Cognition Questionnaire (NYC-Q)

# N&C QUESTIONNAIRES
Adult Self Report (ASR)
Goldsmiths Musical Sophistication Index (Gold-MSI)
Internet Addiction Test (IAT)
Involuntary Musical Imagery Scale (IMIS)
Multi-Gender Identity Questionnaire (MGIQ)
Brief Self-Control Scale (SCS)
Short Dark Triad (SD3)
Social Desirability Scale-17 (SDS)
Self-Esteem Scale (SE)
Tuckman Procrastination Scale (TPS)
Varieties of Inner Speech (VISQ)
UPPS-P Impulsive Behavior Scale (UPPS-P)
Attention Control Scale (ACS)
Beck's Depression Inventory-II (BDI)
Boredom Proneness Scale (BP)
Esworth Sleepiness Scale (ESS)
Hospital Anxiety and Depression Scale (HADS)
Multimedia Multitasking Index (MMI)
Mobile Phone Usage (MPU)
Personality Style and Disorder Inventory (PSSI)
Spontaneous and Deliberate Mind-Wandering (S-D-MW)
Short New York Cognition Scale (Short-NYC-Q)
New York Cognition Scale (NYC-Q)
Abbreviated Math Anxiety Scale (AMAS)
Behavioral Inhibition and Approach System (BIS/BAS)
NEO Personality Inventory Revised (NEO-PI-R)
Body Consciousness Questionnaire (BCQ)
Creative achievement questionnaire (CAQ)
Five facets of mindfulness (FFMQ)
Metacognition (MCQ-30)

# N&C TASKS
Conjunctive continuous performance task (CCPT)
Emotional task switching (ETS)
Adaptive visual and auditory oddball target detection task (Oddball)
Alternative uses task (AUT)
Remote associates test (RAT)
Synesthesia color picker test (SYN)
Test of creative imagery abilities (TCIA)

### Comments added by Openfmri Curators ###
===========================================

General Comments
----------------

Defacing
--------
Pydeface was used on all anatomical images to ensure deindentification of subjects. The code
can be found at https://github.com/poldracklab/pydeface

Where to discuss the dataset
----------------------------
1) www.openfmri.org/dataset/ds000221/ See the comments section at the bottom of the dataset
page.
2) www.neurostars.org Please tag any discussion topics with the tags openfmri and ds000221.
3) Send an email to [e-mail]. Please include the accession number in
your email.

Known Issues
------------
N/A

Bids-validator Output
---------------------
A verbose bids-validator output is under '/derivatives/bidsvalidatorOutput_long'.
Short version of BIDS output is as follows:

1: This file is not part of the BIDS specification, make sure it isn't included in the dataset by accident. Data derivatives (processed data) should be placed in /derivatives folder. (code: 1 - NOT_INCLUDED)
/sub-010001/ses-02/anat/sub-010001_ses-02_inv-1_mp2rage.json
Evidence: sub-010001_ses-02_inv-1_mp2rage.json
/sub-010001/ses-02/anat/sub-010001_ses-02_inv-1_mp2rage.nii.gz
Evidence: sub-010001_ses-02_inv-1_mp2rage.nii.gz
/sub-010001/ses-02/anat/sub-010001_ses-02_inv-2_mp2rage.json
Evidence: sub-010001_ses-02_inv-2_mp2rage.json
/sub-010001/ses-02/anat/sub-010001_ses-02_inv-2_mp2rage.nii.gz
Evidence: sub-010001_ses-02_inv-2_mp2rage.nii.gz
/sub-010002/ses-01/anat/sub-010002_ses-01_inv-1_mp2rage.json
Evidence: sub-010002_ses-01_inv-1_mp2rage.json
/sub-010002/ses-01/anat/sub-010002_ses-01_inv-1_mp2rage.nii.gz
Evidence: sub-010002_ses-01_inv-1_mp2rage.nii.gz
/sub-010002/ses-01/anat/sub-010002_ses-01_inv-2_mp2rage.json
Evidence: sub-010002_ses-01_inv-2_mp2rage.json
/sub-010002/ses-01/anat/sub-010002_ses-01_inv-2_mp2rage.nii.gz
Evidence: sub-010002_ses-01_inv-2_mp2rage.nii.gz
/sub-010003/ses-01/anat/sub-010003_ses-01_inv-1_mp2rage.json
Evidence: sub-010003_ses-01_inv-1_mp2rage.json
/sub-010003/ses-01/anat/sub-010003_ses-01_inv-1_mp2rage.nii.gz
Evidence: sub-010003_ses-01_inv-1_mp2rage.nii.gz
... and 1710 more files having this issue (Use --verbose to see them all).

2: Not all subjects contain the same files. Each subject should contain the same number of files with the same naming unless some files are known to be missing. (code: 38 - INCONSISTENT_SUBJECTS)
/sub-010001/ses-01/anat/sub-010001_ses-01_T2w.json
/sub-010001/ses-01/anat/sub-010001_ses-01_T2w.nii.gz
/sub-010001/ses-01/anat/sub-010001_ses-01_acq-highres_FLAIR.json
/sub-010001/ses-01/anat/sub-010001_ses-01_acq-highres_FLAIR.nii.gz
/sub-010001/ses-01/anat/sub-010001_ses-01_acq-lowres_FLAIR.json
/sub-010001/ses-01/anat/sub-010001_ses-01_acq-lowres_FLAIR.nii.gz
/sub-010001/ses-01/anat/sub-010001_ses-01_acq-mp2rage_T1map.nii.gz
/sub-010001/ses-01/anat/sub-010001_ses-01_acq-mp2rage_T1w.nii.gz
/sub-010001/ses-01/anat/sub-010001_ses-01_acq-mp2rage_defacemask.nii.gz
/sub-010001/ses-01/dwi/sub-010001_ses-01_dwi.bval
... and 8624 more files having this issue (Use --verbose to see them all).

3: Not all subjects/sessions/runs have the same scanning parameters. (code: 39 - INCONSISTENT_PARAMETERS)
/sub-010007/ses-02/anat/sub-010007_ses-02_acq-mp2rage_T1map.nii.gz
/sub-010007/ses-02/anat/sub-010007_ses-02_acq-mp2rage_T1w.nii.gz
/sub-010007/ses-02/anat/sub-010007_ses-02_acq-mp2rage_defacemask.nii.gz
/sub-010045/ses-01/dwi/sub-010045_ses-01_dwi.nii.gz
/sub-010087/ses-02/func/sub-010087_ses-02_task-rest_acq-PA_run-01_bold.nii.gz
/sub-010189/ses-02/anat/sub-010189_ses-02_acq-lowres_FLAIR.nii.gz
/sub-010201/ses-02/func/sub-010201_ses-02_task-rest_acq-PA_run-02_bold.nii.gz

Summary: Available Tasks: Available Modalities:
14714 Files, 390.74GB Rest FLAIR
318 - Subjects T1map
2 - Sessions T1w
defacemask
bold
T2w
dwi
fieldmap
fieldmap

搜集汇总

背景与挑战

背景概述

MPI-Leipzig_Mind-Brain-Body数据集是一个包含318名参与者MRI和行为数据的综合性神经影像数据集，涵盖结构性和功能性MRI扫描以及丰富的问卷调查和行为任务数据。数据集分为LEMON和N&C两个协议，总大小约390GB，提供多种MRI模态数据，适用于广泛的神经科学研究。