Ingrid R. Olson

The paper maps human mesolimbic dopamine pathways using 7T diffusion tractography, revealing distinct circuits and their associations with adaptive behaviors.

This study finds reduced striatal hemodynamic latency in early psychosis, particularly in dorsal striatal regions, suggesting it may be an indirect marker of dopamine dysfunction.

This paper identifies a tripartite organization of the human ventromedial prefrontal cortex using multimodal analyses and shows its reproducibility and cross-species correspondence.

This study links higher prenatal maternal inflammation to reduced hippocampal neurite density in middle-aged humans.

The paper investigates how the cerebellum and ventral striatum process social rewards using fMRI, finding the cerebellum responds uniformly to feedback regardless of reward valence, unlike the striatum.

The paper quantifies structural connectivity between the hippocampus and reward regions in humans using diffusion MRI, finding region-specific connectivity patterns along the hippocampal axis.

The paper examines hippocampal-cortical co-reactivation during rest after encoding and links it to forgetting in humans.

This study identifies language-sensitive cerebellar regions and maps their structural connectivity using HCP data, revealing unique patterns related to language comprehension.

The paper examines changes in cerebellar connectivity with the substantia nigra and ventral tegmental area in Parkinson's disease using resting-state fMRI data, finding a double dissociation in connectivity patterns.

This study investigates the cerebellum's role in mentalizing using multimodal neuroimaging, finding domain-specific organization and left hemisphere lateralization in connectivity.

This study maps the structural and functional connectome of mentalizing in humans using multimodal neuroimaging data, revealing its distinct architecture and relationship with the default mode network.

This paper introduces a method to identify irreducible ties in dynamic functional connectivity using resting state fMRI data with continuous weights.

The paper introduces a data-driven algorithm to detect precise voxel-level clusters in brain regions for functional mapping, improving upon existing methods like searchlight.

The paper reviews structural connectivity in social neuroscience and uses diffusion imaging to map white matter pathways underlying social brain networks.