Designed especially for neurobiologists, FluoRender is an interactive tool for multi-channel fluorescence microscopy data visualization and analysis.
Deep brain stimulation
BrainStimulator is a set of networks that are used in SCIRun to perform simulations of brain stimulation such as transcranial direct current stimulation (tDCS) and magnetic transcranial stimulation (TMS).
Developing software tools for science has always been a central vision of the SCI Institute.

Events on March 3, 2020

Dr. Sumientra Rampersad

Dr. Sumientra Rampersad, Research Assistant Professor of Electrical and Computer Engineering, Northeastern University Presents:

Is temporal interference the key to noninvasive deep brain stimulation? Answers from simulation studies in mice and humans

March 3, 2020 at 12:45pm for 1hr
Evans Conference Room, WEB 3780
Warnock Engineering Building, 3rd floor.

Abstract:

Transcranial current stimulation (tCS) has been used for two decades to noninvasively investigate and influence brain function in both healthy volunteers and clinical populations. While many positive effects have been found, high focality, accurate targeting and deep stimulation are yet to be achieved. Temporal interference stimulation (TIS) is a new form of tCS that might improve tCS on all three fronts. A recent murine study showed promising effects of TIS, but human experiments have not yet been published. In this talk I will present results of simulation and optimization studies of TIS in mice and humans, and discuss the implications for potential applications of TIS in humans. 

Dr Rampersad is a Research Assistant Professor of Electrical and Computer Engineering at Northeastern University in Boston, where she recently established the Brain Stimulation & Simulation Lab. Her lab researches noninvasive brain stimulation, with a focus on transcranial current stimulation, using computational and experimental methods. Sumientra is especially interested in bridging the gap between modeling and experiments in noninvasive stimulation through model-based experiments with healthy volunteers.

Posted by: Nathan Galli