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Sökning: onr:"swepub:oai:lup.lub.lu.se:146c9d19-db6d-442a-88c8-61d634e1863a" > Day2day : Investiga...

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

Filevich, Elisa (författare)
Max Planck Institute for Human Development
Lisofsky, Nina (författare)
University Medical Center Hamburg-Eppendorf,Max Planck Institute for Human Development
Becker, Maxi (författare)
Max Planck Institute for Human Development,University Medical Center Hamburg-Eppendorf
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Butler, Oisin (författare)
Max Planck Institute for Human Development
Lochstet, Martyna (författare)
Max Planck Institute for Human Development
Martensson, Johan (författare)
Lund University,Lunds universitet,Institutionen för psykologi,Samhällsvetenskapliga institutioner och centrumbildningar,Samhällsvetenskapliga fakulteten,Department of Psychology,Departments of Administrative, Economic and Social Sciences,Faculty of Social Sciences,Max Planck Institute for Human Development
Wenger, Elisabeth (författare)
Max Planck Institute for Human Development
Lindenberger, Ulman (författare)
Max Planck Institute for Human Development
Kühn, Simone (författare)
Max Planck Institute for Human Development,University Medical Center Hamburg-Eppendorf
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 (creator_code:org_t)
BioMed Central (BMC), 2017
2017
Engelska.
Ingår i: BMC Neuroscience. - : BioMed Central (BMC). - 1471-2202. ; 18:1
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Background: Most 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 design: Eight 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. Conclusion: This 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.

Ämnesord

SAMHÄLLSVETENSKAP  -- Psykologi (hsv//swe)
SOCIAL SCIENCES  -- Psychology (hsv//eng)

Nyckelord

Ergodicity
Longitudinal design
MRI
Reliability
Resting state
Structural imaging
Variability

Publikations- och innehållstyp

ref (ämneskategori)
art (ämneskategori)

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