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Identifying predict...
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Karch, Julian DMax Planck Institute for Human Development,Leiden University
(author)
Identifying predictors of within-person variance in MRI-based brain volume estimates
- Article/chapterEnglish2019
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LIBRIS-ID:oai:lup.lub.lu.se:c266c59f-d707-4ab4-8b97-463c08e53882
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https://lup.lub.lu.se/record/c266c59f-d707-4ab4-8b97-463c08e53882URI
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https://doi.org/10.1016/j.neuroimage.2019.05.030DOI
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Language:English
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Summary in:English
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Subject category:art swepub-publicationtype
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Adequate reliability of measurement is a precondition for investigating individual differences and age-related changes in brain structure. One approach to improve reliability is to identify and control for variables that are predictive of within-person variance. To this end, we applied both classical statistical methods and machine-learning-inspired approaches to structural magnetic resonance imaging (sMRI) data of six participants aged 24-31 years gathered at 40-50 occasions distributed over 6-8 months from the Day2day study. We explored the within-person associations between 21 variables covering physiological, affective, social, and environmental factors and global measures of brain volume estimated by VBM8 and FreeSurfer. Time since the first scan was reliably associated with Freesurfer estimates of grey matter volume and total cortex volume, in line with a rate of annual brain volume shrinkage of about 1 percent. For the same two structural measures, time of day also emerged as a reliable predictor with an estimated diurnal volume decrease of, again, about 1 percent. Furthermore, we found weak predictive evidence for the number of steps taken on the previous day and testosterone levels. The results suggest a need to control for time-of-day effects in sMRI research. In particular, we recommend that researchers interested in assessing longitudinal change in the context of intervention studies or longitudinal panels make sure that, at each measurement occasion, (a) a given participant is measured at the same time of day; (b) participants overall are measured at about the same time of day. Furthermore, the potential effects of physical activity, including moderate amounts of aerobic exercise, and testosterone levels on MRI-based measures of brain structure deserve further investigation.
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Filevich, ElisaBernstein Center for Computational Neuroscience Berlin,Humboldt University of Berlin,Max Planck Institute for Human Development
(author)
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Wenger, ElisabethMax Planck Institute for Human Development
(author)
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Lisofsky, NinaUniversity Medical Center Hamburg-Eppendorf
(author)
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Becker, MaxiUniversity Medical Center Hamburg-Eppendorf
(author)
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Butler, OisinMax Planck Institute for Human Development
(author)
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Mårtensson, JohanLund University,Lunds universitet,Logopedi, foniatri och audiologi,Sektion IV,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Logopedics, Phoniatrics and Audiology,Section IV,Department of Clinical Sciences, Lund,Faculty of Medicine(Swepub:lu)psyc-jme
(author)
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Lindenberger, UlmanMax Planck Institute for Human Development
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Brandmaier, Andreas MMax Planck Institute for Human Development
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Kühn, SimoneMax Planck Institute for Human Development,University Medical Center Hamburg-Eppendorf
(author)
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Max Planck Institute for Human DevelopmentLeiden University
(creator_code:org_t)
Related titles
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In:NeuroImage: Elsevier BV200, s. 575-5891095-95721053-8119
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Karch, Julian D
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Filevich, Elisa
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Wenger, Elisabet ...
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Lisofsky, Nina
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Becker, Maxi
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Butler, Oisin
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Mårtensson, Joha ...
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Lindenberger, Ul ...
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Brandmaier, Andr ...
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Kühn, Simone
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SOCIAL SCIENCES
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