Research Current Projects


Connectome Markers Among Neuropsychiatric Disorders



Psychiatric conditions have traditionally been defined around behavioral symptoms that are often imprecise. With advances in brain imaging over the past decades, our understanding of brain structure and function have drastically improved. Our group is one of the pioneers of connectome research in psychiatry by focusing on identifying unqiue connectome biomarkers of psychiatric conditions and movement towards redefining mental disorders based on brain networks pathology.

Neuromonitoring-Guided Cognitive Augmentation for ADHD



Our translational neuropsychiatry research involves developing noninvasive, brain-focused, personalized interventions that target affected brain networks in an organic way. We are developing a novel neuro-monitoring guided cognitive augmentation integrating computerized cognitive training with real-time, functional neuromonitoring for targeted enhancement of brain networks underlying executive functions in children with ADHD. These studies have been sponsored by National Institute of Mental Health, BBRF, and Stanford MCHRI.

Card image cap

Neural Correlates of Cognitive Augmentation in MCI



Mild Cognitive Impairment is one factor increasing the risk for later development of Alzheimer's Disease. In a study funded by National Institute of Aging, we are utilizing neuropsychological assessments in conjunction with novel neuroimaging and computational techniques to study the effects of long-term, multi-domain, computerized cognitive training on brain networks in older adults with MCI. We are also examining factors influencing the response to cognitive training in order to optimize the training based on individual's brain and behavior profile.

Developing Wearable Neuroimaging Systems for Brain Imaging at Home



Our neuro-technology research is focused on developing and validating a consumer-grade, cost-effective functional brain imaging system that is wearable, wireless, smart-phone operated, and fun-to-use for personal and population-based neuroimaging and neuro-monitoring. Noninvasive, optical imaging technology is adopted to develop a system that is robust to motion and physiological artefacts and can be reliably used at home on a daily basis.

Multimodal data integration for early AD detection and progression



With recent advances in neurobiology of Alzheimer’s disease (AD), our understanding of the disease has moved from one based on clinical symptoms to a biological construct that is multifactorial and heterogeneous. Leveraging existing AD-related datasets, we are developing a multi-dimensional network framework to aggregate data across modalities, to capture the heterogeneity of AD and to enhance accurate and early AD detection and progression.

We are constantly seeking talented and motivated individuals to join our team. Click the link below to view opportunities for open positions at the lab.