The proposed EFRI program aims to develop transformative paradigms in our understanding of the complex nonlinear dynamics of brain microcircuits and their function, by developing and fusing a new generation biosensing (recording) and actuation (neurostimulation) techniques to a potent toolbox. The proposed research engages brain circuits with external photonic and microelectronic interfaces in animal models, in particular for the study of the so-called "working memory" - the brain's "random access memory". At the neuroengineering level, the proposed research integrates new set of neural sensing and actuation tools on the microscale that are applied to engage with specific sensing and planning action by the brain - in particular the dynamics of information processing in the prefrontal cortex. A key experimental driver is the development of a new micro-optical/photonic device technology that will enable precise spatio-temporal targeting through sensory pathways of cortical microcircuitry and the imaging of this circuitry in real time in specific animal models. The unique device technology elements in the sensor/actuator engineering integrate ultracompact multi-element arrays of light emitters and microelectronic chip-scale sensors for excitation and mapping of the brain microcircuitry in real-time, which has been rendered both stimulus responsive and recordable by cellular-level genetic and nanomaterial sensitizing. The goal of the development of sensing/actuation microtools with associated brain science paradigms is to pave way for microdevice interfaces for bidirectional access across a population of neurons in the brain. Bidirectionality requires that both neural recording and neural stimulation can be achieved simultaneously at cellular level for multiple neurons, and ultimately multiple brain sites, spatially and temporally. Development of a class of specific brain-interfaces probes which synergize approaches from contemporary photonics/optoelectronics for "reading" and "writing" neural information from/to brain's microcircuits is the contributing aim of this planned EFRI proposal.
In a broader context, the research aims to facilitate the implementation of a closed-loop feedback compact device technology that offers the promise of entirely new classes of neural interfaces for (i) advancing the understanding of the brain from sensing to actuation- with cellular level resolution of microcircuit dynamics, (ii) aim the application of the technology to potentially therapeutic and prosthetic applications. For example, the study of the working memory function in the brain is closely associated with neurological diseases such as schizophrenia, attention deficit disorder and has been linked to epilepsy. The team aims to leverage the research outcomes from this program in mammalian animal models (in vitro and in vivo) so that key brain science paradigms such as the fundamentally important "working memory" will find translation to human neuroscience and rehabilitative goals. By including within the team a clinical neurology interface, our proposed research is envisioned to contribute to our unraveling of neurological disease, pave way for elucidating and exploring the applicability the nature of the brain-like systems to other technologies, as well as improve U.S. competitiveness in the global economy through advanced technology development in a frontier area at the intersection of physical and life sciences. The research on these topics is also expected to create a generation of "neuroengineering" graduate students with true interdisciplinary education, as well as innovative businesses and entrepreneurs.
The EFRI program at Brown University aimed to develop transformative paradigms in our understanding of the complex nonlinear dynamics of brain microcircuits and their function, by developing and fusing a new generation biosensing (recording) and actuation (neurostimulation) techniques to a potent toolbox. The proposed research engaged brain circuits with external photonic and microelectronic interfaces in animal models. Our greater goal was to acquire knowledge to help enable understanding of brain information processing as a predicted the spatio-temporally mapped response by neural circuits under highly targeted stimulus-rich conditions. At the neuroengineering level, the proposed research integrated new set of neural sensing and actuation tools on the microscale that were applied to engage with specific sensing and planning action by the brain – in particular the dynamics of information processing in key areas of cortex. One experimental driver was the development of a new micro-optical/photonic device technology that enables precise spatio-temporal targeting through sensory pathways of cortical microcircuitry and the imaging of this circuitry in real time in specific animal models. The unique device technology elements in the sensor/actuator engineering integrate ultracompact multi-element arrays of light emitters and microelectronic chip-scale sensors for excitation and mapping of the brain microcircuitry in real-time, which has been rendered both stimulus responsive and recordable by cellular-level genetic and nanomaterial sensitizing. The goal of the development of sensing/actuation microtools with associated brain science paradigms was to pave way for microdevice interfaces for access across a population of neurons in the brain. As the outcome of using the combination of optogenetic methods and the device technologies, the program has been able to create much new basic science about the dynamics of cortical circuits and their function from sensing to memory, using rodent animal models.
