Kristine M. Ulrichsen

Title: Reliability, sensitivity and predictive value of fMRI during multiple object tracking as a marker of cognitive training gain in combination with tDCS in stroke survivors

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.

Brain disconnectivity mapping of post-stroke fatigue

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.

TVA-based modeling of short-term memory capacity, speed of processing and perceptual threshold in chronic stroke patients: Case-control differences, reliability, and sensitivity to cognitive training

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.

Functional brain network modeling in sub-acute stroke patients and healthy controls during rest and continuous attentive tracking

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.

Brain age prediction reveals aberrant brain white matter in schizophrenia and bipolar disorder: A multi-sample diffusion tensor imaging study

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.

Genetic control of variability in subcortical and intracranial volumes

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

Reliable longitudinal brain age prediction in stroke patients: Associations with cognitive function and response to cognitive training

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

Genetics of brain age suggest an overlap with common brain disorders

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.

Dissecting the cognitive phenotype of post-stroke fatigue using drift diffusion modeling of sustained attention

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.

Assessing distinct patterns of cognitive aging using tissue-specific brain age prediction based on diffusion tensor imaging and brain morphometry

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.

Brain scans from 21297 individuals reveal the genetic architecture of hippocampal subfield volumes

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