Hengda He

The paper characterizes the hemodynamic response function of negative BOLD signals in default mode network subregions, finding unique HRFs across regions and tasks.

This study examines how amyloid-beta burden affects task-modulated brain connectivity during working memory retrieval and links these changes to task performance and cognitive resilience.

This study uses machine learning to show that integrating brain connectome data with amyloid-beta PET imaging improves prediction of cognitive decline in older adults.

This study uses simultaneous pupillometry-EEG-fMRI to investigate spatiotemporal network connectivity in salience processing, revealing interactions between the salience network and LC-NE system.

This study links phasic pupil-linked arousal to reduced response inhibition using simultaneous pupillometry, EEG, and fMRI during an auditory task.