Hosung Kim

The ENIGMA-PD-WML Pipeline: A Containerized, User-Friendly Approach for Accurate, Standardized Segmentation of White Matter Lesions in Multi-Site MRI Data

Classifying Mild Cognitive Impairment from Normal Cognition: fMRI Complexity Matches Tau PET Performance

This study compares fMRI complexity and tau-PET in classifying cognitive impairment, finding fMRI matches tau-PET performance with better F1-score and AUC.

Age-Related Decline in Blood-Brain Barrier Function is More Pronounced in Males than Females in Parietal and Temporal Regions

The paper investigates age and sex differences in BBB function using MRI in 186 participants, finding more pronounced decline in males starting in the early 60s, particularly in parietal and temporal regions.

Style Transfer Generative Adversarial Networks to Harmonize Multi-Site MRI to a Single Reference Image to Avoid Over-Correction

This paper uses a GAN-based style transfer approach to harmonize multi-site MRI images without site labels, effectively removing cross-site variation while preserving clinical patterns.

The Neonatal Gyrencephalic Cortex Maintains Regionally Distinct Streams of Neuroblasts

The paper identifies an expanded subventricular zone in neonatal gyrencephalic brains that supports ongoing neuronal migration to the cortex.

Chronic stroke sensorimotor impairment is related to smaller hippocampal volumes: An ENIGMA analysis

This study finds that smaller ipsilesional hippocampal volume is associated with worse upper limb sensorimotor impairment in chronic stroke patients, with a stronger effect in women.

Global brain health modulates the impact of lesion damage on post-stroke sensorimotor outcomes

This study shows that global brain health, measured by brain age, influences post-stroke sensorimotor outcomes and mediates the effect of lesion damage.

A novel neuroelectrophysiological age index implicates brain health and sleep disorders

The paper introduces an EEG-based brain age index to assess brain health and sleep disorders, finding higher indices correlate with cortical thinning and specific sleep disorder patterns.

Hippocampal Asymmetry of Regional Development and Structural Covariance in Preterm Neonates

This study compares hippocampal development in preterm and term-born neonates using MRI, finding asymmetrical structural impairments in preterm infants.

Smaller spared subcortical nuclei are associated with worse post-stroke sensorimotor outcomes in 28 cohorts worldwide

This study finds that smaller spared subcortical nuclei are linked to worse sensorimotor outcomes after stroke, varying by time since stroke and type of impairment.

Whole-brain functional connectivity neuromarkers uncover the cognitive recovery scheme for overt hepatic encephalopathy after liver transplantation

This study identifies functional connectivity neuromarkers that reveal distinct cognitive recovery patterns in patients with overt hepatic encephalopathy after liver transplantation.

Brain age predicted using graph convolutional neural network explains developmental trajectory in preterm neonates

This paper uses a graph convolutional neural network to predict brain age in preterm neonates, showing it outperforms other methods and links brain age to future neurodevelopmental outcomes.

Robust T1 MRI cortical surface pipeline for neonatal brain and systematic evaluation using multi-site MRI datasets

This paper introduces a robust T1 MRI cortical surface pipeline for neonatal brains and evaluates it across multiple datasets, showing high accuracy and reproducibility.

Cyto/myeloarchitectural changes of cortical gray matter and superficial white matter in early neurodevelopment: Multimodal MRI study of preterm neonates

This study uses MRI to analyze cyto/myeloarchitectural changes in preterm neonates' cortical gray matter and white matter, identifying spatiotemporal patterns and associations with developmental outcomes.

Style Transfer Using Generative Adversarial Networks for Multi-Site MRI Harmonization

This paper uses a GAN-based style transfer approach to harmonize multi-site MRI images without requiring site labels or traveling subjects.

A comparison of automated lesion segmentation approaches for chronic stroke T1-weighted MRI data

The paper compares automated lesion segmentation methods for chronic stroke T1-weighted MRI data, finding LINDA performs best overall while Gaussian Bayes has highest recall.

A large, open source dataset of stroke anatomical brain images and manual lesion segmentations

The paper introduces ATLAS, a dataset of 304 T1-weighted MRIs with manual lesion segmentations to improve lesion segmentation algorithm accuracy.