Carsten Gießing

From Intrinsic Topography to Cognitive Prediction: Benchmarking Approaches to Personalized Cortical Parcellation

The paper benchmarks personalized cortical parcellation methods using fMRI data, finding trade-offs in spatial correspondence, topographic variability, and predictive utility for cognitive traits.

The Comet Toolbox: Improving Robustness in Network Neuroscience Through Multiverse Analysis

The Comet Toolbox provides a unified Python package for dynamic functional connectivity analysis in network neuroscience, enabling systematic exploration of methodological choices to improve result robustness.

Domain-Specific Functional Network Adaptations Supporting Dual-Task Performance in Older Adults

This study examines age-related changes in brain network connectivity during motor and cognitive tasks, finding domain-specific adaptations in older adults.

The multiverse of data preprocessing and analysis in graph-based fMRI: A systematic literature review of analytical choices fed into a decision support tool for informed analysis

This paper reviews analytical choices in graph-based fMRI to improve replicability and develops a decision support tool for robustness analysis.

Whole-brain modeling explains the context-dependent effects of cholinergic neuromodulation

This study uses empirical fMRI and computational modeling to show that nicotine increases functional segregation in the brain during attentional tasks but not at rest, linking network topology to behavior.