Research
Brain stimulation and neuroimaging
for aging and Alzheimer’s disease.
I bring computational approaches together with multimodal neuroimaging and noninvasive brain stimulation to understand cognition in aging and Alzheimer’s disease. My goal is to use these insights to develop approaches that support cognitive health.
01 / Research theme
Computational approaches
How can computational approaches reveal brain network dynamics and individual differences?
I use computational approaches to characterize functional network dynamics, relate individualized connectivity to cognition, and improve neuroimaging analysis. My work examines arousal and network switching and includes methods for spatial normalization and characterizing negative BOLD responses.
02 / Research theme
Multimodal neuroimaging & neuromodulation
How can multimodal neuroimaging reveal the effects of brain stimulation on distributed networks?
I combine transcranial magnetic stimulation (TMS) with EEG and fMRI to probe and modulate distributed brain networks. This work investigates how ongoing brain states shape stimulation responses and how network changes relate to rTMS treatment outcomes in depression. I also use simultaneous pupillometry and EEG–fMRI to study arousal and network dynamics.
03 / Research theme
Cognition, aging & Alzheimer’s disease
How can brain network measures help explain cognitive aging and support cognitive health?
I investigate relationships between amyloid pathology, individualized brain connectivity, and cognition in aging and Alzheimer’s disease. This work examines how network-based measures can improve predictive modeling of future cognitive decline and clarify connectivity changes during working memory. My broader goal is to use these insights to inform brain-stimulation approaches that help preserve and improve cognition.
Methods & modalities
TMS / EEG / fMRI / PET / Pupillometry / Network analysis / Predictive modeling
Research & collaboration
Let’s connect.
For research discussions and collaboration, get in touch.