Anne‐Marthe Sanders

This study evaluates the effectiveness of combining cognitive training with tDCS in stroke survivors, finding significant training effects but no additional benefit from tDCS, and no strong link between pre-training brain activation and cognitive gains.

This study investigates the relationship between post-stroke fatigue and brain disconnectivity in chronic stroke patients, finding no significant associations with disconnectome measures or lesion characteristics.

This study evaluates TVA parameters in chronic stroke patients to assess short-term memory capacity, processing speed, and perceptual threshold, showing group differences and cognitive training benefits.

The paper analyzes functional brain networks in sub-acute stroke patients and healthy controls during rest and attentive tracking, finding task-dependent connectivity changes but no group classification differences.

This study uses diffusion tensor imaging and machine learning to predict brain age in schizophrenia and bipolar disorder patients, finding age overestimation in both groups compared to controls.

The paper identifies genetic loci associated with variability in brain volumes and thickness, showing they are distinct from loci affecting mean volumes.

This study tests if brain age prediction can predict cognitive outcomes and response to training in stroke patients, but finds no significant associations.

The paper estimates brain age gaps using MRI and machine learning in individuals with and without brain disorders, finding heritability and genetic overlap with common disorders.

This study uses drift diffusion modeling to identify the cognitive phenotype of post-stroke fatigue by analyzing response time data from the Attention Network Test.

The paper develops tissue-specific brain age prediction models using diffusion tensor imaging and morphometry to assess cognitive aging patterns and their deviations from normal trajectories.

This study identifies 15 genome-wide significant loci associated with hippocampal subfield volumes in 21,297 individuals, revealing distinct genetic determinants for different subfields.