What are the cellular and network cortical mechanisms of optimal neural and behavioral performance? Through what mechanisms do spontaneous and evoked changes in the waking state of the cortex influence sensory processing and behavior? The goal of my laboratory is to answer these broad and important questions at levels extending from cellular and synaptic properties, to local circuits, to thalamocortical networks, modulation, and behavior. Answering these questions are fundamental not only to understanding the normal operation of the brain, but also its operation in a variety of disorders, from schizophrenia, to ADHD, autism, and others. Our proposal is ambitious, but not unreasonable or unfocused. We have already made significant progress towards a broad outline of important pieces of the puzzle, and therefore are confident that we will make very significant progress towards a detailed clarification of these two fundamental questions during the funding period. More than a hundred years ago, two investigators, Yerkes and Dodson, noted that optimal performance on difficult detection tasks was related to arousal level in an ?inverted-U? shaped fashion. Increases from low arousal to intermediate arousal would enhance performance on difficult tasks, while further increases in arousal from intermediate to high would decrease performance. This result suggests that there is an ?optimal state? for both the brain and behavior. Surprisingly, until our recent study in behaving mice performing a difficult auditory detection task, the cortical activity or circuit representation of optimal state had not been investigated. Our investigation revealed that the optimal state for performance of a difficult auditory sensory detection task occurred at intermediate levels of arousal and was associated with the suppression of slow corticocortical and thalamocortical activity, a hyperpolarized and low variability of pyramidal cell membrane potential, and large amplitude and highly reliable evoked auditory cortical synaptic responses. In an indication of the broad nature of these effects, we observed that we could predict more than half of the variance in cortical neuronal membrane potential, action potential, and even behavioral performance simply by measuring the pupil diameter ? an easily obtained measure of rapid (second to second) fluctuations in behavioral state. By explaining a large fraction of neuronal and behavioral variance, we have demonstrated that the brain is much more precise and reliable than previously thought. Here we propose to reveal the detailed cellular, modulatory, and network mechanisms that account for these prominent effects of state variation on neural and behavioral performance. Through a combination of state-of-the-art imaging, whole cell recording, optogenetic manipulation, and high quality behavioral monitoring, we will be able to detail the contribution of multiple neuronal and neuromodulatory pathways to the determination of optimal state for neural/behavioral responses.

Public Health Relevance

We have recently found that spontaneous variations in the waking state account for a substantial fraction of the variations in responsiveness of cortical neurons to sensory stimuli. We also found that sorting the animal's cortical sensory responses and behavioral choices by arousal state (as measured by pupil diameter) revealed an inverted U, with optimal responses and performance occurring at intermediate levels of arousal. Here we will address the cellular, network, and neuromodulatory mechanisms underlying the determination of optimal state for neural and behavioral performance. We hypothesize that neuromodulatory transmitter systems are in constant flux and that these fluctuations in release cause ongoing and influential changes in the operating properties of the cerebral cortex. We will use a variety of state-of-the-art techniques, including whole cell recording, two-photon imaging, and optogenetics, to reveal the precise cellular, network, and neuromodulatory mechanisms underlying rapid state control in awake, behaving mice. Dyscontrol of neuromodulatory transmitter release may underlie several different disease disorders. Understanding their mechanisms of function is critical to understanding both the ordered and disordered brain.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Unknown (R35)
Project #
5R35NS097287-03
Application #
9607640
Study Section
Special Emphasis Panel (ZNS1)
Program Officer
Chen, Daofen
Project Start
2016-12-01
Project End
2024-11-30
Budget Start
2018-12-01
Budget End
2019-11-30
Support Year
3
Fiscal Year
2019
Total Cost
Indirect Cost
Name
University of Oregon
Department
Type
DUNS #
City
Eugene
State
OR
Country
United States
Zip Code
97403
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Zagha, Edward; Murray, John D; McCormick, David A (2016) Simulating Cortical Feedback Modulation as Changes in Excitation and Inhibition in a Cortical Circuit Model. eNeuro 3:
Castellucci, Gregg A; McGinley, Matthew J; McCormick, David A (2016) Knockout of Foxp2 disrupts vocal development in mice. Sci Rep 6:23305
Reimer, Jacob; McGinley, Matthew J; Liu, Yang et al. (2016) Pupil fluctuations track rapid changes in adrenergic and cholinergic activity in cortex. Nat Commun 7:13289