Max Korbmacher

Sep 18, 2024 | biorxiv.org | Meng-Yun Wang |Max Korbmacher |Rune Eikeland |Stener Nerland

AbstractT1-weighted (T1w) imaging is widely used to examine brain structure based on image-derived phenotypes (IDPs) such as cortical thickness, surface area, and brain volumes. The reliability of these IDPs has been extensively explored, mainly focusing on the inter-subject variations, whereas the stability of the within-subject variations has often been overlooked. Additionally, how environmental factors such as time of day and daylight hours impact the structural brain is poorly understood.

Sep 15, 2024 | biorxiv.org | Max Korbmacher |Didac Vidal-Piñeiro |Meng-Yun Wang |Thomas Wolfers

AbstractThe concept of brain age (BA) describes an integrative imaging marker of brain health, often suggested to reflect ageing processes. However, the degree to which cross-sectional MRI features, including BA, reflect past, ongoing and future brain changes across different tissue types from macro- to microstructure remains controversial.

Jun 16, 2024 | biorxiv.org | Max Korbmacher |Lars T. Westlye |Ivan Maximov

AbstractThe influence of FreeSurfer version-dependent variability in reconstructed cortical features on brain age predictions is average small when varying training and test splits from the same data. FreeSurfer version differences can lead to some variability in brain age dependent on the choice of algorithm and individual differences in brain morphometry, highlighting the advantage of repeated random train-test splitting.

Jun 1, 2024 | biorxiv.org | Meng-Yun Wang |Max Korbmacher |Rune Eikeland |Stener Nerland

AbstractWith the feature of noninvasively monitoring the human brain, magnetic resonance imaging (MRI) has become a ubiquitous means to understand how the brain works. Specifically, T1-weighted (T1w) imaging is widely used to examine the brain structure where the cortical thickness, surface area, and brain volumes have been investigated. These T1w-derived phenotypes undergo radical changes during childhood and adolescence, while remaining relatively stable during adulthood.

Feb 1, 2024 | nature.com | Max Korbmacher |Dani Beck |Ole A. Andreassen |Lars T. Westlye

AbstractThe human brain demonstrates structural and functional asymmetries which have implications for ageing and mental and neurological disease development. We used a set of magnetic resonance imaging (MRI) metrics derived from structural and diffusion MRI data in N=48,040 UK Biobank participants to evaluate age-related differences in brain asymmetry. Most regional grey and white matter metrics presented asymmetry, which were higher later in life.