Lars Kasper

The paper evaluates diffusion MRI's role in improving brainstem ROI registration accuracy compared to T1w-only methods, showing better performance with diffusion-based pipelines.

The paper investigates layer-specific activation in the insula during interoceptive and exteroceptive attention tasks using fMRI and finds increased activity in upper cortical layers during interoceptive attention.

Neurodesk provides a portable and reproducible neuroimaging analysis platform using software containers to enable accessible and flexible data analysis pipelines.

This paper demonstrates high-resolution single-shot spiral fMRI at 7T with sub-millimeter resolution, achieving excellent image quality and BOLD sensitivity with minimal blurring artifacts.

This paper evaluates using a one-time gradient calibration to improve spiral fMRI image quality and functional results by predicting k-space trajectories with a linear time-invariant model.

TAPAS provides open-source tools for computational assays in psychiatry to support differential diagnosis and treatment prediction through end-to-end pipelines.

This paper introduces a Hilbert-based method to estimate respiratory volume per unit time from bellows recordings, improving fMRI noise correction by better capturing atypical breathing events.

The paper investigates how changes in resting-state functional connectivity predict depression relapse after antidepressant discontinuation, finding that increased connectivity between the dorsolateral prefrontal cortex and parietal cortex is associated with relapse risk.

The paper introduces a generative model to infer directed connectivity in whole-brain networks using fMRI data, showing improved accuracy in identifying functional roles of motor areas compared to undirected methods.

The paper investigates how people weigh self-gathered versus social information in decision-making using Bayesian models and fMRI, showing distinct brain regions for each type of information.

This paper introduces a trace-based correction method to reduce breathing-induced ghosting artifacts in spinal cord T2*-weighted imaging, improving quantitative metrics and temporal signal-to-noise ratio.