Ona Wu

A Brain Circuit for Status Epilepticus

This study identifies a unified brain circuit associated with status epilepticus using multimodal lesion mapping and gene expression analysis, showing high accuracy in distinguishing SE from other lesion etiologies.

Lesions that Cause Psychosis Map to a Common Brain Circuit in the Hippocampus

This study identifies a common brain circuit in the hippocampus associated with psychosis caused by lesions, suggesting it as a target for neuromodulation.

MRI Radiomic Signature of White Matter Hyperintensities Is Associated with Clinical Phenotypes

This paper develops a radiomic signature from T2-FLAIR MRI images to predict white matter hyperintensities burden and links it to clinical phenotypes.

Sex-specific lesion topographies explain outcomesafter acute ischemic stroke

This study identifies sex-specific lesion patterns in acute ischemic stroke that correlate with stroke severity, highlighting differences in lesion distribution between men and women.

Brain connectivity measures improve modeling of functional outcome after acute ischemic stroke

The paper shows that brain connectivity measures, specifically rich club organization and path-length, improve prediction of functional outcomes after acute ischemic stroke.

Rich-Club organization: an important determinant of functional outcome after acute ischemic stroke

This study shows that the number of rich-club brain regions affected by stroke predicts worse functional outcomes better than traditional markers like lesion volume and age.

Spatial signature of white matter hyperintensities in stroke patients

The paper investigates spatial variation in white matter hyperintensity burden across vascular territories in stroke patients and identifies risk factors associated with specific territories.

White Matter Hyperintensity Quantification in Large-Scale Clinical Acute Ischemic Stroke Cohorts - The MRI-GENIE Study

The paper presents an automated pipeline for quantifying white matter hyperintensity in acute ischemic stroke cohorts, showing improved accuracy and enabling large-scale analysis.

Effective reserve: a latent variable to improve outcome prediction in stroke

This paper introduces effective reserve (eR), a latent variable derived from clinical and imaging data, to improve prediction of functional outcomes after acute ischemic stroke.