Project Summary/Abstract Recent evidence from multiple laboratories in both human and animal models supports a role for the granule cell (GrC) pathway of the cerebellum in representing a wide range of sensory, motor, and internal information. Classical theories of cerebellar function proposed that activity in a small number of GrCs (
Abstract Brain-computer interfaces (BCI) offer hope to treat otherwise intractable neurological disease. However, the current state of BCI is still short of the potential; solutions to fundamental biological and engineering problems must be found before BCIs can be broadly used for patient care. A collaborative group at UCSD has developed a high-density array of microelectrodes (microgrid) that surmounts many of the major hurdles facing neural interface devices.
The goal of this proposed research is to reveal the sensory origins underlying the body schema representation. Body schema is the brain's internal model of the body's spatial configuration. This internal representation is critical for sensorimotor processing, movement control, and self-awareness, and is continuously updated during movement. Body schema representations are disrupted when somatosensory input is lost. The first step toward discover the neural correlates of body schema is to uncover neural mechanisms that generate body posture representation.
Project Summary / Abstract Recent breakthroughs in neural recording technologies suggest the possibility of understanding the collective dynamics of large-scale brain circuits.
PROJECT SUMMARY / ABSTRACT Memory is an integral component of human cognition, and when memory processes go awry, the result is devastating neurological disorders of memory loss including Alzheimer's disease and other forms of dementia. One essential role of normal memory processes is to use previous experience to guide decisions about future actions. Thus, research to define the neural mechanisms of memory processes is important to understand both normal brain function and what goes wrong in memory loss disorders.
Project Abstract/Summary This application describes a 3-year training plan that will enable me, a cognitive neuroscientist with prior training in electroencephalography (EEG), to conduct research on contextual memory representation using neuroimaging (fMRI) and computational modeling. EEG is useful for examining the timing properties of neural activity, but cannot localize activity to specific regions of the brain.
Project Summary Alarming shortcomings of the bedside behavioral examination in reliably detecting consciousness generate profound dilemmas for clinicians and families facing decisions about continuation of life-sustaining therapy, pain control, prognostication, and resource allocation in patients with disorders of consciousness (DoC).
The ability to non-invasively perturb specific regions deep in the human brain would enable researchers and clinicians to study the causal relationships between specific brain structures and behavior. Current non-invasive neuromodulatory techniques enable the perturbation of the human cortex but a method that is simultaneously non-invasive, focal, and capable of perturbing deep brain circuits remains elusive. The goal of this project is to develop a non-invasive and focal technique capable of perturbing individual deep brain nuclei in humans.
Localized structuring of neuronal output by inhibitory microcircuits is a fundamental component of neuronal information processing. Interneuron subpopulations contained within these microcircuits integrate afferent excitatory and inhibitory inputs, transforming these external signals into broad modulatory effects. Simple on-off dichotomies do not accurately account for the modeled variations in interneuron activity resulting from excitatory or inhibitory inputs alone.
Project Summary/Abstract Behaviors essential for survival, including parenting behaviors, are driven by neural circuits that arise from combinations of genetics and experience-dependent learning. To what extent is parental behavior learned, vs. predetermined by innate specializations of neural circuits? Virgin female mice can learn some maternal behaviors when housed with an experienced mother and her pups, in particular retrieving isolated pups to the nest. Preliminary data indicates that virgins can learn this behavior via auditory and visual observation.
