Featured on the cover of Brain Communications
Our paper, "Amyloid-beta relates to default and attention network connectivity during working memory retrieval," is featured on the journal's cover.
Read the featured paperCognitive aging / Neuroimaging / Brain stimulation
Hengda HePh.D.
Postdoctoral Research ScientistColumbia University Irving Medical Center
Neuroimaging and brain stimulation
for healthy cognitive aging.
I use multimodal neuroimaging, brain stimulation, and computational approaches to understand how cognition changes with aging and Alzheimer’s disease. My goal is to develop approaches that help preserve and improve cognitive function.
01 / Updates
News & highlights.
Best Paper Award at IEEE EMBC 2026
Concurrent TMS–EEG–fMRI work on prefrontal alpha phase multiplex networks, presented orally in Toronto, Canada.
Award-winning paperFrom amyloid to cognition at INS
Oral presentation on integrating brain connectome and amyloid PET to predict cognitive decline, at the INS Annual Meeting in Philadelphia.
Selected talks02 / Research
Approaches & applications.
Computational approaches
Studying brain dynamics and network switching, and developing methods for neuroimaging analysis.
Multimodal neuroimaging & neuromodulation
Using concurrent TMS–EEG–fMRI to probe and modulate distributed brain networks.
Cognition, aging & Alzheimer’s disease
Linking amyloid pathology, individualized brain connectivity, and cognitive change.
03 / Selected work
Recent publications.
Brain CommunicationsCover feature
Amyloid-beta relates to default and attention network connectivity during working memory retrieval
Brain Stimulation
TMS-induced modulation of brain networks and its associations to rTMS treatment for depression: a concurrent fMRI-EEG-TMS study
Communications Medicine
Integrating individualized connectome with amyloid pathology improves predictive modeling of future cognitive decline
Research & collaboration
Let’s connect.
For research discussions and collaboration, get in touch.