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

TLDR

The dataset is part of the MPI Leipzig Mind‑Brain‑Body database. The study presents a publicly available dataset of 227 healthy young and elderly adults to investigate mind‑body‑emotion interactions. Participants underwent a two‑day protocol that included 3‑Tesla multimodal MRI, 62‑channel resting‑state EEG, continuous cardiovascular monitoring, anthropometric and biochemical sampling, psychiatric interviews, and extensive cognitive, emotional, and behavioral questionnaires.

Abstract

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.