Andreas Heß

The paper integrates gene expression and fMRI data in mice to show that high activation probability voxels have distinct gene expression profiles compared to low activation ones in specific brain regions.

The paper identifies distinct brain network signatures of pain hypersensitivity in rats under incisional and inflammatory pain models using functional MRI and graph-theory analysis.

The paper assesses consistency of rat fMRI results across 12 centers using a unified pipeline and identifies variability due to experimental differences.

This study compares 3T and 7T fMRI to show that 7T detects earlier memory consolidation-related brain activity after a motor task.

This study identifies reproducible resting-state networks in the mouse brain across multiple centers using standardized rsfMRI analysis.

This paper uses evolutionary genomics and functional neuroanatomy to reconstruct neurogenetic evolution in the human brain and identify traits distinguishing modern humans from archaic hominins.

This paper introduces a new method for analyzing resting state fMRI data in rats, showing it can detect short-term connectivity modulations from whisker stimulation more reliably than existing methods.

The paper develops an algorithm to predict functional neuroanatomical maps by integrating gene expression, connectivity data, and genetic metadata from mouse and human sources.