Ole Goltermann

Withdrawal latency in a human hot plate analog tracks inter-individual differences in pain sensitivity

This study develops a human analog of the hot plate test to measure pain sensitivity through withdrawal latency and vigor, finding that latency correlates with inter-individual pain sensitivity differences.

The pursuit of motivational goals reduces pain through an opioidergic mechanism

The paper shows that pursuing motivational goals reduces perceived pain through endogenous opioid mechanisms, as evidenced by neural and behavioral effects modulated by naloxone.

Opposing BOLD signals and oxygen metabolism largely arise from statistical uncertainty in metabolic estimates

The paper reanalyzes BOLD and metabolic data, finding that apparent discordance between BOLD signals and metabolic estimates is due to statistical uncertainty rather than physiological reversal.

The utility of explainable A.I. for MRI analysis: Relating model predictions to neuroimaging features of the aging brain

This study uses explainable AI to link brain-age prediction models with neuroimaging features of aging, revealing correlations between voxel relevance and structural brain markers.

Neuroimaging genomics as a window into the evolution of human sulcal organization

The paper integrates neuroimaging genetic data with genomic annotations to identify SNP heritability enrichments in fetal brain enhancer elements linked to human sulcal structures.

Improving fMRI-based prediction of individual pain ratings by accounting for interindividual variance

This paper re-analyzes fMRI data to show that accounting for interindividual variance improves the prediction of individual pain ratings from BOLD measures.

Towards the Interpretability of Deep Learning Models for Multi-modal Neuroimaging: Finding Structural Changes of the Ageing Brain

This paper uses deep learning to estimate brain age from MRI data and identifies structural brain changes associated with aging.