Day2day: investigating daily variability of magnetic resonance imaging measures over half a year

BMC Neuroscience

Database

Oisin Butler¹  Elisabeth Wenger¹  Elisa Filevich¹  Ulman Lindenberger¹  Martyna Lochstet¹  Simone Kühn²  Nina Lisofsky²  Maxi Becker²  Johan Martensson³ 

[1] Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, 14195, Berlin, Germany;Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, 14195, Berlin, Germany;Clinic and Policlinic for Psychiatry and Psychotherapy, University Clinic Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany;Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, 14195, Berlin, Germany;Department of Psychology, Lund University, Box 117, 221 00, Lund, Sweden;

关键词: MRI;    Variability;    Reliability;    Structural imaging;    Resting state;    Ergodicity;    Longitudinal design;   

DOI  :  10.1186/s12868-017-0383-y

 received in 2016-11-22, accepted in 2017-08-16,  发布年份 2017

来源: Springer

【 摘 要 】

BackgroundMost studies of brain structure and function, and their relationships to cognitive ability, have relied on inter-individual variability in magnetic resonance (MR) images. Intra-individual variability is often ignored or implicitly assumed to be equivalent to the former. Testing this assumption empirically by collecting enough data on single individuals is cumbersome and costly. We collected a dataset of multiple MR sequences and behavioural covariates to quantify and characterize intra-individual variability in MR images for multiple individuals.Methods and designEight participants volunteered to undergo brain scanning 40–50 times over the course of 6 months. Six participants completed the full set of sessions. T1-weighted, T2*-weighted during rest, T2-weighted high-resolution hippocampus, diffusion-tensor imaging (DTI), and proton magnetic resonance spectroscopy sequences were collected, along with a rich set of stable and time-varying physical, behavioural and physiological variables. Participants did not change their lifestyle or participated in any training programs during the period of data collection.ConclusionThis imaging dataset provides a large number of MRI scans in different modalities for six participants. It enables the analysis of the time course and correlates of intra-individual variability in structural, chemical, and functional aspects of the human brain.

【 授权许可】

CC BY   
© The Author(s) 2017