Jesse Wood

Disruption of Prefrontal Cortex Large Scale Neuronal Activity by Different Classes of Psychotomimetic Drugs

In the absence of overt cellular pathology but profound perceptual disorganization and cognitive deficits, schizophrenia is increasingly considered a disorder of neural coordination. Thus, different causal factors can similarly interrupt the dynamic function of neuronal ensembles and networks, in particular in the prefrontal cortex (PFC), leading to behavioral disorganization. The importance of establishing preclinical biomarkers for this aberrant function has prompted investigations into the nature of psychotomimetic drug effects on PFC neuronal activity. The drugs used in this context include serotonergic hallucinogens, amphetamine, and NMDA receptor antagonists. A prominent line of thinking is that these drugs create psychotomimetic states by similarly disinhibiting the activity of PFC pyramidal neurons. In the present study we did not find evidence in support of this mechanism in PFC subregions of freely moving rats. Whereas the NMDA receptor antagonist MK801 increased PFC population activity, the serotonergic hallucinogen DOI dose-dependently decreased population activity. Amphetamine did not strongly affect this measure. Despite different effects on the direction of change in activity, all three drugs caused similar net disruptions of population activity and modulated gamma oscillations. We also observed reduced correlations between spike-rate and local field potential power selectively in the gamma band suggesting that these drugs disconnect spike-discharge from PFC gamma oscillators. Gamma band oscillations support cognitive functions affected in schizophrenia. These findings provide insight into mechanisms that may lead to cortical processing deficits in schizophrenia and provide a novel electrophysiological approach for phenotypic characterization of animal models of this disease.

Memantine binding to a superficial site on NMDA receptors contributes to partial trapping

Although many nervous system disorders are associated with N‐methyl‐d‐aspartate (NMDA) receptor overactivation, pharmacological inhibition of NMDA receptors has typically demonstrated limited clinical value due to debilitating psychotomimetic side‐effects. Memantine, however, induces far fewer behavioural side‐effects than other NMDA receptor channel blockers such as ketamine, and slows the progressive cognitive decline associated with Alzheimers disease. Memantine and ketamine inhibit NMDA receptors with similar affinity and kinetics. A prominent mechanistic difference between memantine and ketamine is the degree to which they are ‘trapped’ within the closed channel of NMDA receptors following removal of agonist: ketamine becomes trapped in nearly all NMDA receptors to which it was bound before agonist removal, whereas some bound memantine molecules dissociate after agonist removal, a phenomenon called partial trapping. Here we investigated the mechanism underlying partial trapping of memantine by recombinant NR1/2A NMDA receptors. We found that memantine dissociation from NR1/2A receptors after agonist removal (the process that results in partial trapping) followed an exponential time course with τ= 0.79 ± 0.32 s. Neither membrane voltage depolarization nor maintained presence of memantine after agonist removal affected partial trapping, suggesting that partial trapping does not result from memantine escape through open channels. We tested the hypothesis that partial trapping results from binding of memantine to two sites, a superficial ‘non‐trapping’ site and a deep ‘trapping’ site, which cannot be occupied simultaneously. This hypothesis was supported by the lack of ketamine binding to the superficial site, the voltage dependence of partial trapping, and the effect on partial trapping of a mutation near the deep site. The superficial binding site for memantine may, by causing partial trapping, contribute to memantines unique therapeutic utility.

Coordinated activity of ventral tegmental neurons adapts to appetitive and aversive learning.

Our understanding of how value-related information is encoded in the ventral tegmental area (VTA) is based mainly on the responses of individual putative dopamine neurons. In contrast to cortical areas, the nature of coordinated interactions between groups of VTA neurons during motivated behavior is largely unknown. These interactions can strongly affect information processing, highlighting the importance of investigating network level activity. We recorded the activity of multiple single units and local field potentials (LFP) in the VTA during a task in which rats learned to associate novel stimuli with different outcomes. We found that coordinated activity of VTA units with either putative dopamine or GABA waveforms was influenced differently by rewarding versus aversive outcomes. Specifically, after learning, stimuli paired with a rewarding outcome increased the correlation in activity levels between unit pairs whereas stimuli paired with an aversive outcome decreased the correlation. Paired single unit responses also became more redundant after learning. These response patterns flexibly tracked the reversal of contingencies, suggesting that learning is associated with changing correlations and enhanced functional connectivity between VTA neurons. Analysis of LFP recorded simultaneously with unit activity showed an increase in the power of theta oscillations when stimuli predicted reward but not an aversive outcome. With learning, a higher proportion of putative GABA units were phase locked to the theta oscillations than putative dopamine units. These patterns also adapted when task contingencies were changed. Taken together, these data demonstrate that VTA neurons organize flexibly as functional networks to support appetitive and aversive learning.

Are neurologic examination abnormalities heritable? A preliminary study.

BACKGROUND Neurologic examination abnormalities (NEA) are more prevalent among patients with schizophrenia as well as their unaffected relatives when compared with healthy controls, suggesting that NEA may be endophenotypes for schizophrenia. We estimated the heritability of NEA in moderately sized pedigrees. We also evaluated correlations between NEA and cognitive performance in order to examine their construct validity. METHODS Members of eight extended families, each consisting of two first degree relatives with schizophrenia/schizoaffective disorders, as well as available first- to fifth-degree relatives were examined (n=96 participants). A modification of the Neurological Evaluation Scale (NES) was employed, augmented with localizing signs. Where feasible, we used untransformed data such as error counts and completion time, rather than ordinal measures. Heritability was estimated using the variance component method, implemented in SOLAR. RESULTS Statistically significant heritability (h2) estimates were obtained for several measures (p<0.05, h2+/-standard error: rapid alternating movements, right-sided completion time, 0.99+/-0.19; alternating fist-palm test, completion time, 0.77+/-0.19 s, errors, 0.70+/-0.32; fist-ring test, right-sided completion time, 0.53+/-0.23 s, left-sided completion time, 0.70+/-0.21 s; go-no go task, correct responses, 0.93+/-0.33; audio-visual integration, correct responses, 0.79+/-0.54). For most items, heritability analysis was hampered by insufficient data variability (infrequent errors). Correlational analyses show some degree of divergence among types of NEA, repetitive motor tasks being associated with most domains of cognitive functioning other than executive functioning, and cognitive-perceptual tasks being associated with memory and executive functioning. CONCLUSIONS Significant familial influences on certain aspects of neurologic performance were detected. These heritable measures were also correlated with heritable neurocognitive measures.

Anxiety Evokes Hypofrontality and Disrupts Rule-Relevant Encoding by Dorsomedial Prefrontal Cortex Neurons

Anxiety is a debilitating symptom of most psychiatric disorders, including major depression, post-traumatic stress disorder, schizophrenia, and addiction. A detrimental aspect of anxiety is disruption of prefrontal cortex (PFC)-mediated executive functions, such as flexible decision making. Here we sought to understand how anxiety modulates PFC neuronal encoding of flexible shifting between behavioral strategies. We used a clinically substantiated anxiogenic treatment to induce sustained anxiety in rats and recorded from dorsomedial PFC (dmPFC) and orbitofrontal cortex (OFC) neurons while they were freely moving in a home cage and while they performed a PFC-dependent task that required flexible switches between rules in two distinct perceptual dimensions. Anxiety elicited a sustained background “hypofrontality” in dmPFC and OFC by reducing the firing rate of spontaneously active neuronal subpopulations. During task performance, the impact of anxiety was subtle, but, consistent with human data, behavior was selectively impaired when previously correct conditions were presented as conflicting choices. This impairment was associated with reduced recruitment of dmPFC neurons that selectively represented task rules at the time of action. OFC rule representation was not affected by anxiety. These data indicate that a neural substrate of the decision-making deficits in anxiety is diminished dmPFC neuronal encoding of task rules during conflict-related actions. Given the translational relevance of the model used here, the data provide a neuronal encoding mechanism for how anxiety biases decision making when the choice involves overcoming a conflict. They also demonstrate that PFC encoding of actions, as opposed to cues or outcome, is especially vulnerable to anxiety. SIGNIFICANCE STATEMENT A debilitating aspect of anxiety is its impact on decision making and flexible control of behavior. These cognitive constructs depend on proper functioning of the prefrontal cortex (PFC). Understanding how anxiety affects PFC encoding of cognitive events is of great clinical and evolutionary significance. Using a clinically valid experimental model, we find that, under anxiety, decision making may be skewed by salient and conflicting environmental stimuli at the expense of flexible top-down guided choices. We also find that anxiety suppresses spontaneous activity of PFC neurons, and weakens encoding of task rules by dorsomedial PFC neurons. These data provide a neuronal encoding scheme for how anxiety disengages PFC during decision making.

A Framework for Understanding the Emerging Role of Corticolimbic-Ventral Striatal Networks in OCD-Associated Repetitive Behaviors

Significant interest in the mechanistic underpinnings of obsessive-compulsive disorder (OCD) has fueled research on the neural origins of compulsive behaviors. Converging clinical and preclinical evidence suggests that abnormal repetitive behaviors are driven by dysfunction in cortico-striatal-thalamic-cortical (CSTC) circuits. These findings suggest that compulsive behaviors arise, in part, from aberrant communication between lateral orbitofrontal cortex (OFC) and dorsal striatum. An important body of work focused on the role of this network in OCD has been instrumental to progress in the field. Disease models focused primarily on these regions, however, fail to capture an important aspect of the disorder: affective dysregulation. High levels of anxiety are extremely prevalent in OCD, as is comorbidity with major depressive disorder. Furthermore, deficits in processing rewards and abnormalities in processing emotional stimuli are suggestive of aberrant encoding of affective information. Accordingly, OCD can be partially characterized as a disease in which behavioral selection is corrupted by exaggerated or dysregulated emotional states. This suggests that the networks producing OCD symptoms likely expand beyond traditional lateral OFC and dorsal striatum circuit models, and highlights the need to cast a wider net in our investigation of the circuits involved in generating and sustaining OCD symptoms. Here, we address the emerging role of medial OFC, amygdala, and ventral tegmental area projections to the ventral striatum (VS) in OCD pathophysiology. The VS receives strong innervation from these affect and reward processing regions, and is therefore poised to integrate information crucial to the generation of compulsive behaviors. Though it complements functions of dorsal striatum and lateral OFC, this corticolimbic-VS network is less commonly explored as a potential source of the pathology underlying OCD. In this review, we discuss this network’s potential role as a locus of OCD pathology and effective treatment.

Differences in Response Initiation and Behavioral Flexibility Between Adolescent and Adult Rats

Adolescence is a period of increased vulnerability to psychiatric illnesses such as addiction, mood disorders, and schizophrenia. Rats provide a useful animal model for investigating the differences in behavior and biology between adults and adolescents that stem from ongoing brain development. We developed the Cued Response Inhibition Task, or CRIT, to assess response inhibition and initiation processes by measuring the ability of rodents to withhold a response during an inhibitory cue and then to respond promptly after cue termination. We found no difference between adult and adolescent rats in the ability to appropriately inhibit a response during cue presentation. Adolescents, however, were unable to initiate a response as quickly as adults after cue termination. Further, we observed that this difference in responding was abolished after adolescent rats aged to adulthood with no additional training. In a separate experiment, adult and adolescent rats were trained in CRIT and then trained in another protocol in which the response inhibitory cue from CRIT was used as a Pavlovian cue predictive of reward. Adolescents demonstrated more reward-seeking behavior during the previously inhibitory Pavlovian cue than adults, indicative of greater behavioral flexibility. Taken together, these data suggest that, compared with adults, adolescent rats (a) are less able to initiate a response after response inhibition, (b) equally inhibit behavioral responses, and (c) are more adept at flexibly switching behavioral patterns. Furthermore, this study characterizes a task that is well suited for future pharmacological and electrophysiological investigations for assessing neuronal processing differences between adolescents and adults.

Teamwork Matters: Coordinated Neuronal Activity in Brain Systems Relevant to Psychiatric Disorders

It is now widely recognized that dynamic coordination among groups of neurons in local and long-range circuits is critical for orchestration of behavior.1 This is especially relevant to the biological basis of psychiatric illnesses where behavior is the primary measure for determining the presence or severity of symptoms. Much of the focus in biological psychiatry has been on establishing a link between symptoms and either morphological abnormalities or altered expression of receptors or other proteins involved in neural communication. A recent line of thinking, however, posits that the mechanisms that lead to behavioral symptoms may not have a static anatomical or cellular basis but are caused by transient disruptions in the coordinated activity of ensembles of neurons. Many models of psychiatric disorders implicitly require that behavior follow the rules of linear dynamics, where input (eg, change in dopamine availability) has a linear influence on output (eg, optimal working memory). The brain, however, is a complex system that often follows nonlinear dynamics where coordinated changes in activating or dampening components may yield diverging outcomes and trivial changes in these components can have no effect or synergize to produce catastrophic effects.1 Therefore, symptoms of these illnesses in different individuals may be driven by different activating or dampening factors that similarly disrupt how assemblies of neurons coordinate their activity in response to external events or internal representations. Without knowing the mechanisms by which these dynamic ensembles coordinate to influence behavior, the predictive power of a single genetic or environmental variable remains weak. Given this, understanding the electrophysiological basis of behaviors that are relevant to symptoms of psychiatric disorders becomes critical for linking the genetic and environmental factors that disrupt neuronal activity with the behavioral manifestations of these disruptions. Functional imaging in humans has provided an excellent platform for understanding the nature of dynamic networks in the context of normal and abnormal behavior, especially in the case of schizophrenia.2 But to understand the mechanistic basis of these large-scale changes in distributed brain networks, it is critical to use laboratory animals where recordings can be made from individual neurons with millisecond time resolution. Herein, we describe briefly 2 examples of measuring these forms of coordination in the midbrain and prefrontal cortex of rodents.

Reward Anticipation Is Encoded Differently by Adolescent Ventral Tegmental Area Neurons

BACKGROUND Elucidating the neurobiology of the adolescent brain is fundamental to our understanding of the etiology of psychiatric disorders such as schizophrenia and addiction, the symptoms of which often manifest during this developmental period. Dopamine neurons in the ventral tegmental area (VTA) are strongly implicated in adolescent behavioral and psychiatric vulnerabilities, but little is known about how adolescent VTA neurons encode information during motivated behavior. METHODS We recorded daily from VTA neurons in adolescent and adult rats during learning and maintenance of a cued, reward-motivated instrumental task and extinction from this task. RESULTS During performance of the same motivated behavior, identical events were encoded differently by adult and adolescent VTA neurons. Adolescent VTA neurons with dopamine-like characteristics lacked a reward anticipation signal and showed a smaller response to reward delivery compared with adults. After extinction, however, these neurons maintained a strong phasic response to cues formerly predictive of reward opportunity. CONCLUSIONS Anticipatory neuronal activity in the VTA supports preparatory attention and is implicated in error prediction signaling. Absence of this activity, combined with persistent representations of previously rewarded experiences, may provide a mechanism for rash decision making in adolescents.

Action-outcome relationships are represented differently by medial prefrontal and orbitofrontal cortex neurons during action execution

Internal representations of action-outcome relationships are necessary for flexible adaptation of motivated behavior in dynamic environments. Prefrontal cortex (PFC) is implicated in flexible planning and execution of goal-directed actions, but little is known about how information about action-outcome relationships is represented across functionally distinct regions of PFC. Here, we observe distinct patterns of action-evoked single unit activity in the medial prefrontal cortex (mPFC) and orbitofrontal cortex (OFC) during a task in which the relationship between outcomes and actions was independently manipulated. The mPFC encoded changes in the number of actions required to earn a reward, but not fluctuations in outcome magnitude. In contrast, OFC neurons decreased firing rates as outcome magnitude was increased, but were insensitive to changes in action requirement. A subset of OFC neurons also tracked outcome availability. Pre-outcome anticipatory activity in both mPFC and OFC was altered when reward expectation was reduced, but did not differ with outcome magnitude. These data provide novel evidence that PFC regions encode distinct information about the relationship between actions and impending outcomes during action execution.