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Exploring how brain networks interact and change over time to understand brain function, cognition, and behavior, and identify connectivity patterns associated with neurological and psychiatric disorders.

Investigating time-varying interactions among brain networks to understand the neural dynamics underlying cognition, behavior, and psychiatric conditions.

Characterizing the spatial and functional organization of brain networks and identifying alterations associated with neurological and psychiatric disorders.

Exploring relationships between brain connectivity, genetic susceptibility, and neurodegenerative processes to understand individual differences in brain health.
Developing advanced computational methods and interpretable artificial intelligence approaches to understand complex brain activity and discover clinically meaningful patterns

Developing interpretable machine learning approaches to identify and visualize brain connectivity patterns associated with neurological and psychiatric conditions.

We develop machine learning models that integrate neuroimaging, EEG, and clinical data to predict individual responses to psychiatric treatments. Our research aims to identify reliable biomarkers of treatment outcomes, understand differences in therapeutic response, and advance personalized treatment strategies in psychiatry.

Applying machine learning and multimodal data analysis to identify neural signatures associated with clinical symptoms, disease progression, and treatment outcomes.
Investigating neural activity and treatment-related changes using electrophysiology, neurotechnology, and computational biomarkers to advance personalized mental healthcare.

Investigating electrophysiological signatures of brain function and psychiatric symptoms using conventional and portable EEG technologies.

Investigating how therapeutic brain stimulation, including transcranial magnetic stimulation (TMS), deep brain stimulation (DBS), and electroconvulsive therapy (ECT), modulates brain activity and connectivity to uncover treatment mechanisms and identify neural biomarkers associated with clinical outcomes.

Developing and evaluating portable and dry EEG technologies for accessible, real-world monitoring of brain activity. Our research focuses on assessing signal quality, identifying reliable neural biomarkers, and advancing applications in mental health assessment, treatment monitoring, and precision psychiatry.

Supporting innovative research to advance our understanding of brain function, mental health, and psychiatric disorders.

Supporting innovative neuroscience research to better understand, prevent, and treat mental health disorders.

Supporting clinical and translational research by providing resources and collaborative opportunities to advance scientific discoveries and improve human health.
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