Abstract - B Hyle Park

Our goal is to develop and validate a revolutionary technology: intrinsic, non-invasive imaging of neural activity in the brain at cellular resolution. Neural activity produces tiny physical changes in the geometry and refractive index of cells, which are measurable based on interferometric methods that are well-established in physics and are the underpinnings of optical coherence tomography (OCT). Unlike fluorescence methods, interference measurements are non-invasive and do not require dye loading or genetic manipulation. With phase-sensitive interference measurements, we can, in principle, examine the activity of many individual neurons in a massively parallel way. We propose a combination of OCT-derived measures of changes in local attenuation coefficient and optical phase to directly detect neural activity with micrometer-level and 3D spatial resolution on a millisecond time scale. Such detection would be entirely orthogonal to and easily combined with current techniques to, for example, detect optogenetically-stimulated activity without potential spectral overlap with a genetically-encoded calcium indicator or to detect activity in fluorescently labeled neural types. This technology development may transform scientific investigation of the circuitry and function of the brain, and produce entirely new approaches to diagnosing various pathologies and monitoring the progress of treatment.

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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