Douglas A. Nitz

GABA release in the locus coeruleus as a function of sleep/wake state

GABA, glutamate, and glycine release in the locus coeruleus were measured as a function of sleep/wake state in the freely-behaving cat using the microdialysis technique. GABA release was found to increase during rapid-eye-movement sleep as compared to waking values. GABA release during slow-wave sleep was intermediate between that of waking states and rapid-eye-movement sleep. The concentration of glutamate and glycine in microdialysis samples was unchanged across sleep and wake states. Our findings are consistent with the hypothesis that GABAergic inhibition is responsible for the cessation of discharge in locus coeruleus neurons during REM sleep. The data suggest that a population of GABAergic neurons innervating the locus coeruleus are selectively active during rapid-eye-movement sleep.

Electrophysiological Correlates of Rest and Activity in Drosophila melanogaster

Extended periods of rest in Drosophila melanogaster resemble mammalian sleep states in that they are characterized by heightened arousal thresholds and specific alterations in gene expression. Defined as inactivity periods spanning 5 or more min, amounts of this sleep-like state are, as in mammals, sensitive to prior amounts of waking activity, time of day, and pharmacological intervention. Clearly recognizable changes in the pattern and amount of brain electrical activity accompany changes in motor activity and arousal thresholds originally used to identify mammalian sleeping behavior. Electroencephalograms (EEGs) and/or local field potentials (LFPs) are now widely used to quantify sleep state amounts and define types of sleep. Thus, slow-wave sleep (SWS) is characterized by EEG spindles and large-amplitude delta-frequency (0-3.5 Hz) waves. Rapid-eye movement (REM) sleep is characterized by irregular gamma-frequency cortical EEG patterns and rhythmic theta-frequency (5-9 Hz) hippocampal EEG activity. It is unknown whether rest and activity in Drosophila are associated with distinct electrophysiological correlates. To address this issue, we monitored motor activity levels and recorded LFPs in the medial brain between the mushroom bodies, structures implicated in the modulation of locomotor activity, of Drosophila. The results indicate that LFPs can be reliably recorded from the brains of awake, moving fruit flies, that targeted genetic manipulations can be used to localize sources of LFP activity, and that brain electrical activity of Drosophila is reliably correlated with activity state.

Tracking Route Progression in the Posterior Parietal Cortex

Quick and efficient traversal of learned routes is critical to the survival of many animals. Routes can be defined by both the ordering of navigational epochs, such as continued forward motion or execution of a turn, and the distances separating them. The neural substrates conferring the ability to fluidly traverse complex routes are not well understood, but likely entail interactions between frontal, parietal, and rhinal cortices and the hippocampus. This paper demonstrates that posterior parietal cortical neurons map both individual and multiple navigational epochs with respect to their order in a route. In direct contrast to spatial firing patterns of hippocampal neurons, parietal neurons discharged in a place- and direction-independent fashion. Parietal route maps were scalable and versatile in that they were independent of the size and spatial configuration of navigational epochs. The results provide a framework in which to consider parietal function in spatial cognition.

Uncoupling of Brain Activity from Movement Defines Arousal States in Drosophila

BACKGROUND An animals state of arousal is fundamental to all of its behavior. Arousal is generally ascertained by measures of movement complemented by brain activity recordings, which can provide signatures independently of movement activity. Here we examine the relationships among movement, arousal state, and local field potential (LFP) activity in the Drosophila brain. RESULTS We have measured the correlation between local field potentials (LFPs) in the brain and overt movements of the fruit fly during different states of arousal, such as spontaneous daytime waking movement, visual arousal, spontaneous night-time movement, and stimulus-induced movement. We found that the correlation strength between brain LFP activity and movement was dependent on behavioral state and, to some extent, on LFP frequency range. Brain activity and movement were uncoupled during the presentation of visual stimuli and also in the course of overnight experiments in the dark. Epochs of low correlation or uncoupling were predictive of increased arousal thresholds even in moving flies and thus define a distinct state of arousal intermediate between sleep and waking in the fruit fly. CONCLUSIONS These experiments indicate that the relationship between brain LFPs and movement in the fruit fly is dynamic and that the degree of coupling between these two measures of activity defines distinct states of arousal.

Spatial navigation and causal analysis in a brain-based device modeling cortical-hippocampal interactions.

We describe Darwin X, a physical device that interacts with a real environment, whose behavior is guided by a simulated nervous system incorporating aspects of the detailed anatomy and physiology of the hippocampus and its surrounding regions. This brain-based device integrates cues from its environment and solves a spatial memory task. The responses of simulated neuronal units in the hippocampal areas during its exploratory behavior are comparable to place cells in the rodent hippocampus and emerged by associating sensory cues during exploration. To identify different functional hippocampal pathways and their influence on behavior, we employed a time series analysis that distinguishes causal interactions within and between simulated hippocampal and neocortical regions while the device is engaged in a spatial memory task. Our analysis identified different functional pathways within the neural simulation and prompts novel predictions about the influence of the perforant path, the trisynaptic loop and hippocampal-cortical interactions on place cell activity and behavior during navigation. Moreover, this causal time series analysis may be useful in analyzing networks in general.

Improvements in the Signal-to-Noise Ratio of Motor Cortex Cells Distinguish Early versus Late Phases of Motor Skill Learning

There are numerous experience-driven changes in cortical circuitry that correlate with improved performance. Improved motor performance on a reach-to-grasp task in rodents is associated with changes in long-term potentiation (LTP), synaptogenesis, and movement representations in primary motor cortex (M1) by training days 3, 7, and 10, respectively. We recorded single-cell activity patterns in M1 during reach-to-grasp training to test how neural-spiking properties change with respect to LTP, synaptogenesis, and motor map changes. We also tested how neural-spiking changes relate directly to improved performance by monitoring muscle activity patterns. We found that signal-to-noise ratios (SNRs) of M1 spiking were significantly improved with practice but only after 7-12 d. Three sources of noise were assessed: signal-dependent noise exemplified by the slope of the relationship between mean spike count and count variance per burst, signal-independent noise exemplified by the offset of this relationship, and background firing rates before and after bursts. Signal-independent noise and pre-burst firing rates were reduced with practice. Early performance gains (days 1-6) were dissociated from SNR improvements, whereas later performance gains (day 7-12) were related directly to the magnitude of improvement in both muscle recruitment reliability and success rates. With training, an increased number of cells exhibited firing rates that were correlated with muscle recruitment patterns, with lags suggesting a primary direction of influence from M1 to muscles. These results suggest a functional linkage from local synaptogenesis in M1 to improved spiking reliability of M1 cells to more reliable recruitment of muscles and finally to improved behavioral performance.

Retrosplenial cortex maps the conjunction of internal and external spaces.

Intelligent behavior demands not only multiple forms of spatial representation, but also coordination among the brain regions mediating those representations. Retrosplenial cortex is densely interconnected with the majority of cortical and subcortical brain structures that register an animals position in multiple internal and external spatial frames of reference. This unique anatomy suggests that it functions to integrate distinct forms of spatial information and provides an interface for transformations between them. Evidence for this was found in rats traversing two different routes placed at different environmental locations. Retrosplenial ensembles robustly encoded conjunctions of progress through the current route, position in the larger environment and the left versus right turning behavior of the animal. Thus, the retrosplenial cortex has the requisite dynamics to serve as an intermediary between brain regions generating different forms of spatial mapping, a result that is consistent with navigational and episodic memory impairments following damage to this region in humans.

Parietal cortex, navigation, and the construction of arbitrary reference frames for spatial information

The registration of spatial information by neurons of the parietal cortex takes on many forms. In most experiments, spatially modulated parietal activity patterns are found to take as their frame of reference some part of the body such as the retina. However, recent findings obtained in single neuron recordings from both rat and monkey parietal cortex suggest that the frame of reference utilized by parietal cortex may also be abstract or arbitrary in nature. Evidence in rats comes from work indicating that parietal activity in freely behaving rodents is organized according to the space defined by routes taken through an environment. In monkeys, evidence for an object-centered frame of reference has recently been presented. The present work reviews single neuron recording experiments in parietal cortex of freely behaving rats and considers the potential contribution of parietal cortex in solving navigational tasks. It is proposed that parietal cortex, in interaction with the hippocampus, plays a critical role in the selection of the most appropriate route between two points and, in addition, produces a route-based positional signal capable of guiding sensorimotor transitions.

Electrophysiological profile of avian hippocampal unit activity: A basis for regional subdivisions

Electrophysiological activity was recorded from single neurons (units) in the hippocampal formation (HF) of freely moving homing pigeons in order to provide a taxonomy of unit types found in the avian HF; a taxonomy that could be used to define regional subdivisions and be compared with unit types found in the mammalian hippocampus. Two distinct types of unit were observed in the avian HF. One type was uniformly characterized by relatively rapid firing rates and shorter spike widths, and was found throughout the HF. The other type was more variable in activity profile but, compared with the fast‐firing units, was characterized by slower firing rates and longer spike widths. However, despite the variable nature of the slow‐firing units, most slow‐firing units recorded within a given anatomical region displayed similar firing rates, spike widths, and interspike intervals. In general, ventral HF units displayed activity patterns similar to projection cells found in the mammalian Ammons horn. Most dorsocaudal units displayed activity patterns similar to presumed granular cells in the mammalian dentate gyrus. By contrast, most dorsorostral units displayed activity patterns similar to a type of unit found in the mammalian subiculum. Although different in some details, the overall activity profile of units found in the avian HF, and their regional distribution, is strikingly similar to unit types found in the mammalian hippocampus, suggesting that unit activity profile is one hippocampal dimension conserved through evolution. J. Comp. Neurol. 445:256–268, 2002.

Anterior cingulate neurons in the rat map anticipated effort and reward to their associated action sequences

Goal-directed behaviors require the consideration and expenditure of physical effort. The anterior cingulate cortex (ACC) appears to play an important role in evaluating effort and reward and in organizing goal-directed actions. Despite agreement regarding the involvement of the ACC in these processes, the way in which effort-, reward-, and motor-related information is registered by networks of ACC neurons is poorly understood. To contrast ACC responses to effort, reward, and motor behaviors, we trained rats on a reversal task in which the selected paths on a track determined the level of effort or reward. Effort was presented in the form of an obstacle that was climbed to obtain reward. We used single-unit recordings to identify neural correlates of effort- and reward-guided behaviors. During periods of outcome anticipation, 52% of recorded ACC neurons responded to the specific route taken to the reward while 21% responded prospectively to effort and 12% responded prospectively to reward. In addition, effort- and reward-selective neurons typically responded to the route, suggesting that these cells integrated motor-related activity with expectations of future outcomes. Furthermore, the activity of ACC neurons did not discriminate between choice and forced trials or respond to a more generalized measure of outcome value. Nearly all neural responses to effort and reward occurred after path selection and were restricted to discrete temporal/spatial stages of the task. Together, these findings support a role for the ACC in integrating route-specific actions, effort, and reward in the service of sustaining discrete movements through an effortful series of goal-directed actions.