Ranganatha Sitaram Lab

To this end, the research in our lab is driven by three main objectives. First, we aim to integrate multimodal functional brain imaging with experimental and computational neuroscience techniques. Through this approach, we strive to understand and characterize the neuroplastic changes in brain function and network dynamics caused by pediatric cancer and its treatments. 

Second, we strive to innovate and apply novel neuromodulation and neurostimulation approaches to reduce and reverse the adverse effects of cancer treatment to improve patients’ cognitive function. This line of investigation relies heavily on applying multimodal functional brain imaging, which requires highly sophisticated imaging techniques such as functional magnetic resonance imaging (fMRI), functional near-infrared spectroscopy, electro/magnetoencephalography and brain stimulation combined with novel experimental paradigms. Our lab also uses neuromodulation, neurostimulation, and transcranial stimulation techniques alone or in combination with imaging to target those regions and networks of the brain suffering impairment from cancer treatment. 

Third, our lab devises new intervention methods to improve cognition and address some of the impairments and deficits cancer treatments cause to the brain. We use computational neuroscience techniques and artificial intelligence methods — including functional and effective connectivity, causality modeling, brain-computer interfaces, and neurofeedback — as the primary tools for our scientific investigation and our efforts to develop translational interventions.

Our lab also collaborates with other St. Jude investigators and researchers worldwide on various projects, including an initiative using functional imaging and functional spectroscopy to explore cognitive deficits in pediatric sickle cell disease and neuromodulatory interventions for treatment and mitigation. In addition, our team is collaborating on medulloblastoma neuroimaging analysis, multimodal imaging-based brain tissue abnormality maps and the analyses of various datasets.

All our efforts aim to provide insights that will help address the cognitive impacts associated with cancer treatment to improve quality of life for patients.