Christian Gaser B

The paper uses polygenic scores from GWAS to identify spatial genetic effects on brain structure across multiple scales in MRI data.

The paper maps the focal and generalized effects of common genetic variants on human brain structure using polygenic scores and MRI data.

ComCat improves brain analysis by reducing unwanted variability from heterogeneous datasets, outperforming existing methods in brain age prediction across multiple datasets.

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 paper introduces a quality assessment framework for structural MRI images using tissue classification to identify and mitigate motion artifacts and other quality issues.

This study shows that early multimodal motor training after stroke improves motor function and causes widespread brain structural changes in rats.

The paper revises the BrainAGE method using Gaussian process regression, showing improved performance on UK Biobank data and disease-specific patterns in clinical samples.

The paper proposes methods to approximate bone mineral density and subcutaneous adiposity from T1-weighted head MRI images and validates their reliability and correlation with DXA and MRI measurements.

The paper introduces CAT, a computational anatomy toolbox for structural MRI analysis, providing a comprehensive suite of tools for morphometric analyses with quality control and visualization features.

This paper investigates how cross-validation affects effect size estimation in brain-wide association studies and finds that cross-validation improves generalizability, especially in small samples.

The paper shows that omitting spatial smoothing in neuroimaging can improve regional specificity without reducing sensitivity, particularly for small-scale brain structures.

This study develops a chimpanzee brain reference template and processing pipeline to analyze structural MRI data, revealing age-related GM atrophy and hemispheric asymmetry patterns.

The paper examines how gray matter volume interacts with white matter connectivity to influence brain controllability, finding that gray matter has a significant impact in highly connected regions.

The paper shows that intense learning in rats leads to temporary increases in brain grey matter volume, associated with synaptic and astrocyte remodeling, and a return to baseline volume with persistent spine maturation.