Max Korbmacher

The paper establishes a normative reference for large-scale human brain dynamics using resting-state fMRI data from over 10,000 individuals, revealing systematic reorganization across development and ageing and disorder-specific deviations in mental health conditions.

This study shows that a single ECT session causes transient, reversible brain microstructural changes resembling vasogenic edema, which may precede neuroplasticity and therapeutic effects.

This study shows brain age metrics from MRI do not reliably predict future brain changes but highlight modality-specific differences as potential cross-sectional markers.

The paper examines how white matter microstructure, assessed via diffusion MRI, correlates with age, BMI, blood pressure, and genetic factors across different life stages.

This study assesses the reliability of structural brain change in cognitively healthy adults over time, finding that longer follow-up periods significantly improve reliability compared to increasing observation frequency.

The paper shows that shuffling FreeSurfer data across versions improves brain age prediction performance and generalizability.

This study evaluates the stability of brain structure metrics over one year and identifies factors affecting their reliability.

The paper evaluates age-related changes in brain asymmetry using MRI data from 48,040 UK Biobank participants and introduces hemispheric brain age as a marker of asymmetry.

This study assesses the intra-individual reliability of 1H-MRS measurements in the anterior cingulate cortex over one year, finding that metabolite levels are reliably quantified with small variability.

This paper evaluates brain age predictions across repeated time points and finds small within-subject correlations, field strength influence, and model biases.

The paper introduces a deep brain imaging dataset from the Bergen Breakfast Scanning Club project, detailing data acquisition and preprocessing protocols for three subjects over one year.

The paper analyzes white matter aging using diffusion MRI data from UK Biobank, finding that fornix microstructure is central to brain age prediction.

The paper develops a brain coherence biomarker, DI, to distinguish males from females and patients from controls, showing its utility in phenotyping sex and mental illness.