Xiangzhen Kong

The paper develops population-specific brain charts for Chinese individuals, revealing distinct neurodevelopmental patterns compared to Western populations and showing better performance in predicting brain phenotypes.

The paper uses imaging genetics to analyze functional connectivity in language networks, identifying genetic loci linked to language abilities, dyslexia, and handedness.

This study uses machine learning to analyze brain asymmetry across aging and diseases, revealing left-hemisphere changes that challenge the traditional right-hemisphere aging model.

The paper identifies region-specific laminar gene expression patterns in language-related cortical areas and links them to structural connectivity and dyslexia risk.

This study investigates how emotional prosody affects visual mental imagery quality and neural mechanisms using behavioral tasks and fMRI, finding significant effects in specific brain regions and individual differences.

This study analyzes left-right volume differences in the human habenula across 52 datasets and finds significant heterogeneity due to MRI scanner and segmentation methods, with notable leftward asymmetry in specific conditions.

This study identifies divergent patterns of atypical cortical asymmetry and regional atrophy in temporal lobe epilepsy using MRI data from a large multi-site cohort.

The paper maps dynamic brain lateralization patterns using resting-state fMRI data, revealing associations with cognitive functions and heritability.

The paper analyzes brain asymmetry in three population datasets, finding associations with handedness, cognitive functions, and a genetic correlation with Autism Spectrum Disorder.

The paper examines the relationship between hemispheric grey matter asymmetry and auditory processing of spoken syllables in 281 adults, finding structural correlates in subcortical regions.

The paper assesses reproducibility in brain MRI research by re-analyzing hemispheric effects across multiple datasets, finding an average reproducibility rate of 63.2%.

The paper shows that different analysis workflows by 70 teams on the same fMRI dataset led to varied results, but meta-analysis found consensus in activated regions.

The paper identifies genes correlated with the sentence-processing network in the human cortex using gene expression, fMRI, and neuroimaging meta-analysis.

The paper investigates genetic factors influencing planum temporale asymmetry and finds limited genetic links to neurodevelopmental disorders, intelligence, or educational attainment.

The paper analyzes cerebral cortical asymmetry in 17,141 healthy individuals, finding widespread hemispheric and regional asymmetries, associations with sex, age, brain size, and heritability.

This study examines the functional interaction between hippocampus and caudate in human navigation using fMRI and behavioral tasks, finding a positive correlation with navigation ability.