Abstract - Richard Anderson

While much progress has been made on brain-machine interfaces (BMI) for motor control of a robotic limb, there has been little work on how to provide sensory feedback back to the patient. Such sensory feedback is essential for dexterous control of a prosthetic limb. In this study, we use well-established clinical tools and techniques to provide novel feedback from a virtual-reality arm into the hand area of somatosensory cortex (S1) of human patients to “close the loop” on the motor / sensory pathway. We will study 10 patients undergoing subdural electrocorticography monitoring for epilepsy. In addition to the clinical subdural electrodes needed for seizure detection, we will place an additional mini-subdural grid over the S1 hand area. In the intensive care unit, we will use a clinical cortical stimulator to stimulate the subdural grid to generation artificial sensation. A variety of stimulation parameters will be explored as the patient performs directed behavioral tasks. This study will allow us to better understand how to generate artificial sensation and close the loop for creating a BMI with sensory feedback. This project has been approved by the USC IRB and cleared by the FDA as a non-significant risk device.

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AWARDS

Principal Investigator Institution Title Abstract
Andersen, Richard California Institute of Technology Engineering Artificial Sensation View
Andrews, Anne University of California, Los Angeles Nanoscale Neurotransmitter Sensors View
Bloodgood, Brenda University of California San Diego A novel toolkit for visualizing and manipulating activity-induced transcription in living brain. View
Chaumeil, Myriam University of California, San Francisco In vivo metabolic imaging of neuroinflammation using hyperpolarized 13C View
Cleary, Michael University of California, Merced Capturing physiological maps of neural gene expression View
Cohen, Bruce University of California, Lawrence Berkeley National Laboratory Nano-optogenetic control of neuronal firing with targeted nanocrystals View
Dai, Hongjie Stanford University  Deep brain imaging of single neurons in the second near-infrared optical window View
Hall, Drew University of California, San Diego Magnetic Monitoring of Neural Activity using Magnetoresistive Nanosensors View
Krubitzer, Leah University of California, Davis An integrated system to monitor, image, and regulate neural activity View
Kubby, Joel University of California, Santa Cruz Three-Photon Microscopy with Adaptive Optics for Deep Tissue Brain Activity Imaging View
Melosh, Nicholas Stanford University Parallel Solid State Intracellular Patch-Clamping with Biomimetic Probes View
Park, B. Hyle University of California, Riverside  Label-free 4D optical detection of neural activity View
Portera-Cailliau, Carlos University of California, Los Angeles High-speed interrogation of network activity with frequency domain multiplexing View
Shanechi, Maryam University of Southern California Control-Theoretic Neuroprosthetic Design Using Electrocorticography Signals View
Smith, Will University of California, Santa Barbara Whole brain imaging in a primative chordate View
Wood, Marcelo University of California, Irvine Epigenetic PET tracer for cross-species investigation of age-related memory dysfunction View