David C. Reutens

Cell-type-informed genotyping of mosaic focal epilepsies reveals cell-autonomous and non-cell-autonomous disease-associated transcriptional programs

This study uses snRNA-seq and a new method called GO-TEN to analyze mosaic genetic variants in focal cortical dysplasia, revealing cell-autonomous and non-cell-autonomous transcriptional changes associated with epilepsy.

Age-related differences in negative cognitive empathy but similarities in positive affective empathy

The paper investigates age-related differences in cognitive empathy for negative emotions and similarities in affective empathy for positive emotions using multimodal imaging and multivariate analysis.

Age-related differences in structural and functional prefrontal networks during a logical reasoning task

This study examines age-related differences in brain activity during a logical reasoning task, finding that older adults engage distinct neural networks for inhibiting beliefs.

Belief loads of assumptions impact brain networks underlying logical reasoning: A machine learning approach

This study uses machine learning to identify brain regions involved in distinguishing belief-loaded assumptions during logical decision-making, revealing key neural correlates of belief and logic interactions.

Role of the hippocampus during logical reasoning and belief bias in aging

This study examines how the hippocampus and its networks support logical reasoning in older adults, showing increased hippocampal recruitment and specific connectivity patterns during belief-congruent tasks.

Spatiotemporal Feature Selection Improves Prediction Accuracy of Multi-Voxel Pattern Classification

This study shows that spatiotemporal feature selection improves multi-voxel pattern classification accuracy in fMRI data compared to single time-point spatial approaches.

Presurgical language fMRI: Current technical practices in epilepsy surgical planning

This study surveys current practices in presurgical language fMRI for epilepsy, finding significant variability in protocols, tasks, analysis methods, and expertise involvement.

Presurgical language fMRI: Current practices and patient outcomes in epilepsy surgical planning

This study surveys global epilepsy surgical programs on their use of presurgical language fMRI and reports mixed outcomes in localizing language cortex and predicting post-surgical function.

Building a high-resolution in vivo minimum deformation average model of the human hippocampus

This paper develops a contrast matching algorithm to align MDA models of the human hippocampus with different contrasts, creating a high-resolution in vivo model for improved segmentation and disease detection.