Our current psychiatric nosology is not equipped to mechanistically map the relationships between psychiatric symptoms, neural systems, and cellular mechanisms. This problem is apparent in scenarios where clinicians are forced into dichotomous diagnostic decisions for patients who display overlapping symptoms across broad behavioral domains.1,2 A cardinal example is embodied in our conceptualization of emotional and cognitive deficits across schizophrenia (SCZ) and major depression (MD).3

SCZ is a complex neuropsychiatric syndrome characterized by a constellation of symptoms, such as hallucinations (hearing voices, seeing visions, etc), and delusions (fixed, false beliefs).4 However, deficits in cognitive function and motivated behavior are a key component of SCZ,5 often reflecting a patient's functional status.6 In turn, MD is conceptualized as primarily a mood disorder with deficits in motivation, and hedonics, as manifested by neurovegetative signs and symptoms. Clinicians often diagnose and consequently treat these psychiatric disorders as distinct entities, in line with formulations presented by the Diagnostic and Statistical Manual of Mental Disorders (DSM). 7,8 Yet, both conditions present with common signs and symptoms, including overlapping affective disruptions, such as anhedonia and amotivation.3 It is critical to appropriately conceptualize behavioral and neural dimensions underlying these behavioral disturbances, in order to improve diagnosis and targeted treatments of specific neural mechanisms giving rise to affective symptoms across MD and SCZ. This effort is captured by the current Research Domain Criteria (RDoC) Initiative, which posits that affective symptoms may cut across diagnoses.1,2

By leveraging cognitive neuroscience methods, clinical neuroscience research has begun to map neural correlates of affective deficits in SCZ and MD. There is now a growing emphasis on delineating psychological and neurobiological impairments leading to emotional deficits, such as amotivation and loss of goal-directed behavior in SCZ.9-11 Concurrently, studies have increasingly mapped the neural correlates of primary affective deficits in MD—in particular those linked to reward processing and anhedonia.12 Consequently, these two historically and behaviorally distinct areas of psychiatric research are poised for conceptual integration to define possible overlapping (or distinct) mechanistic pathways that give rise to observed symptoms. This effort is important for two broad reasons. First, considering dimensional perturbations across psychiatric disorders, in this case MD and SCZ, may help researchers reduce the massive search space and heterogeneity by considering neural computations that may cross diagnostic borders. Second, if there are indeed common (or distinct) neural mechanisms that govern affective symptom expression across SCZ and MD, then it is critical to pinpoint the specific neural mechanisms that map onto behavioral perturbations to guide treatment discovery.

This review considers such shared versus distinct mechanisms across MD and SCZ, covering deficits in hedonics, anticipatory behaviors, computations under lying value and effort and, finally, effortful goal-directed behaviors needed to pursue rewarding outcomes (for an in-depth review of this vast literature see Barch and colleagues3). This review builds on the neural and behavioral evidence to consider several additional perspectives: Emerging cellular-level hypotheses of SCZ and MD and how such neurobiological models can be mapped onto cognitive neuroscience studies in psychiatry. A particular example is discussed—namely “computational psychiatry”—a promising tool to link levels of analyses. In turn, treatment mechanisms are briefly discussed across MD and SCZ, examining how they may relate to the deficits in affective computations across the two conditions. A theoretical conceptualization is introduced detailing hypothesized interactions between affect and cognition in MD versus SCZ. Collectively, this piece considers emerging research that reaches across DSM diagnostic categories and highlights a need for a unified, neurobiologically grounded understanding of affective symptoms, independent of psychiatric categories. Such an understanding can inform either categorical or dimensional insights into symptom domains and offer a rational path for treatment refinement.

Behavioral and neuroimaging evidence for common versus distinct emotional dysregulation mechanisms in SCZ and MD

While affective disturbances present comorbidly across SCZ and MD, it is established that “affect” is not a unitary construct but rather constitutes a complex dimensional set of behaviors and neural computations involving dissociable neural systems.13,14 In turn, neuropsychiatric research has begun to delineate behavioral “dimensions” of affective perturbations that may be similar or distinct across both MD and SCZ.3 We focus on several such behavioral “domains” that have been studied across SCZ and MD: hedonics, anticipatory behaviors, computations underlying value and effort, and finally, effortful goal-directed behaviors needed to pursue rewarding outcomes. A comprehensive outline of this literature is beyond the scope of this focused review; for in-depth treatment we refer readers to recent work by Barch and colleagues.3 Here we summarize findings across these affective behaviors, pointing to common versus distinct perturbations in SCZ vs MD (Figure 1).

Figure 1
Figure 1 Conceptual schematic of reward representations deficits in schizophrenia (SCZ). This figure outlines a conceptual overview of several processes thought to be involved in translating reward information into goal-directed behaviors, which may be compromised in SCZ and major depression (MD). The specific aspects of reward processing involve: (a) basic reward processing or “liking”; (b) reward-related learning and “wanting”; (c) reward information integration; (d) effort computation; and (e) reward representations over time. Breakdowns in the underlying computations across one or more of these processes may be involved in SCZ or MD. GABA, γ-aminobutyric acid; OFC, orbitofrontal cortex; ACC, anterior cingulate cortex; DLPFC, dorsolateral prefrontal cortex. Adapted from ref 176: Anticevic A, Dowd EC, Barch DM. Cognitive and motivational neuroscience of psychotic disorders. In: Charney D, Nestler EJ, Sklar P, Buxbaum J, eds. Neurobiology of Mental Illness. 4th ed. Oxford, UK: Oxford University Press; 2014. Copyright © Oxford University Press 2014.

Hedonic responses to primary and secondary rewards—“liking”

There is a large body of literature, comprised of single experiments,15-39 conceptual reviews,9,40 and meta-analyses,41 suggesting that individuals with SCZ exhibit expected patterns of valence and arousal (eg, in-the-moment liking) in their self-reported emotional responses to emotion-eliciting stimuli. The complementary neuroimaging literature also suggests that SCZ is associated with relatively intact responses to primary and secondary rewards. For instance, studies examining striatal response to monetary reward have shown relatively intact activation patterns in SCZ.42-45 Other studies found relatively intact responses following simple visual presentations of pleasant stimuli. Dowd and colleagues reported similar patterns of brain activation in response to both negative and positive stimuli across brain regions associated with the perception and experience of emotion in SCZ compared with healthy controls.46 This work also reported activity reductions across ventral and dorsal striatum to positive stimuli, which correlated with the magnitude of self-reported anhedonia, suggesting a link between reduced striatal signaling and negative symptoms. However, other work has reported reduced striatal responses to the receipt of juice, with the magnitude of this reduction associated with the severity of anhedonia scores,47 as well as reduced striatal responses to food cues.48 This is consistent with the notion of anhedonia being related to dysfunctional striatal signaling. Complicating this is the reported evidence of reduced striatal responses to loss avoidance in SCZ,49 perhaps reflecting dissociations in ”positive“ vs ”negative“ valence dimensions in SCZ. A more complex picture has emerged when examining responses in PFC circuits in response to receiving rewards,49 suggesting that there may exist some abnormalities in reward-related receipt, possibly related to attentional/cognitive factors, discussed below. Collectively, the self-report literature in SCZ provides relatively consistent evidence for intact self-reports of ”liking.“ However, there is evidence that higher self-reported anhedonia or negative symptoms are associated with less ”liking.“ .32,34,46,50 This may be the critical aspect that links the disruptions across MD and SCZ, namely the link between striatal responses to rewarding stimuli and anhedonia among individuals with SCZ,46,47 which may appear cross-diagnostically.

However, an important difference between SCZ and MD may lie in there being more robust evidence for altered “in-the-moment” responses to receipt of reward in MD. MD studies typically report reduced self-reported and physiological marker responses to positive stimuli.51 There is neuroimaging evidence consistent with this view,52,53 associating reduced striatal responsiveness with levels of anhedonia (but not overall symptom severity). Related to this idea, an interesting report found a relationship between ventral striatum reactivity and anhedonia in response to stress,54 a key clinical feature of MD. Thus, the relationship between disrupted striatal computations and anhedonia may exist “transdiagnostically” whereby SCZ is associated with a milder impairment compared with MD in this particular dimension. Barch and colleagues conceptualized this aspect of disrupted behavior in SCZ and MD as linked to the RDoC dimension of “reduced initial responsiveness to reward.”3

Finally, another computation relevant to “in-the-moment” processing involves the immediate representation of expected value (EV).This issue is thoroughly reviewed by Waltz and Gold55: in SCZ there seem to be deficits in immediate EV computations that relate to cognitive capacity—another important dimension on which SCZ and MD may differ.

Collectively, the self-report and neuroimaging literature in SCZ and MD point towards somewhat dissociable deficits in primary reward processing. However, a key question remains whether deficits in experiencing rewards are independent of anhedonia in SCZ. Level of observed reward disruption across MD and SCZ may be a matter of “degree” rather than reflecting a qualitatively distinct mechanism. This dichotomy is elegantly discussed by Barch and colleagues,3 who suggested that deficits in “liking” may represent an important neurobiological dissociation across the two disorders. It may be possible that the degree of self-reported anhedonia correlates with reward responses and that this can be found across either MD or SCZ patients. Simply put, do individuals with SCZ who report high anhedonia process reward differently from those individuals with SCZ who do not report any anhedonia (ie, is it a “primary” SCZ disturbance or a continuum of disturbance that always maps onto anhedonia irrespective of diagnosis)? Future studies should explicitly compare, in the same experiment, the degree to which the two disorders map onto a “dimensional” picture of primary reward disruptions in relation to behavioral symptoms (ie, anhedonia).

Anticipating future rewards—“wanting”

In contrast to “liking” the concept of “wanting” is typically linked to the ability to learn and anticipate rewards. Again, complete treatment of this topic is beyond the scope of this focused clinical review (for a more detailed review please see ref 56). Briefly, leading neuroscientists and theorists in this area posit that:

“... “wanting” emerged early in evolution as an elementary form of stimulus-guided goal direction, to mediate pursuit, of a few innate food or sex unconditioned stimuli. Subsequently extended to learned “wants,” incentive salience might have been preserved separately from ‛liking’ to facilitate comparison and choice among competing rewards that have incommensurate ‛likes’ (eg, food, sex, and shelter).”56

Neural mechanisms that underlie “wanting” may help the organism learn and represent values that they may “like”—a process thought to be mediated by reward prediction error and dopaminergic signaling via mesolimbic pathways. Such “wanting” is crucial for conducting motivated behaviors. Critically, this computation is distinct from the “in-the-moment” initial response to a rewarding stimulus (discussed above). Therefore, this related but distinct computation governing motivated behavior may be associated with distinct neural disruptions in SCZ and MD. A highly related computational mechanism involves reinforcement learning and the ability to appropriately learn cue-outcome associations by linking stimuli with future rewarding outcomes. While learning deficits are likely separable from “wanting” deficits in SCZ, here we combine these two concepts for parsimony. For a more comprehensive treatment of these distinct mechanisms we refer the readers to recent work on this topic.3

To date, most SCZ studies have examined this question in terms of disrupted anticipation of rewards, signaled via reward prediction mechanisms. A frequently used, and, influential, paradigm is the “monetary incentive delay” (MID) task developed by Knutson and colleagues,57 and based on an existing nonhuman primate protocol. These types of paradigms examine neural responses to reward-predicting cues, rather than to the rewards themselves. Several studies have shown that SCZ is associated with attenuated ventral striatum responses to cues predicting rewards. This has been reported in unmedicated patients49,58-60 and in patients receiving typical antipsychotics, but not in individuals treated with atypicals,43,44,61,62 nor in prodromal individuals.63 Other studies reported an improvement in ventral striatal responses to anticipation cues in antipsychotic-naive patients with SCZ following treatment.60,64 This suggests that at least some aspects of reward anticipation may be attenuated after treatment and may emerge in association with full-blown illness.

Studies have also reported a significant association between severity in negative symptoms and anticipatory ventral striatal activity, suggesting that both “liking” and “wanting” deficits may jointly contribute to the final symptom profile.65 For instance, studies found that the severity of apathy was negatively associated with magnitude of striatal signaling.43 Another study showed a relationship between negative symptom severity and ventral striatal activation during anticipated gains.66 Finally, Barch and colleagues studied reward prediction using a Pavlovian task examining implicit reward learning in SCZ. They reported reduced striatal activation in response to reward-predictive cues, which was associated with greater anhedonia scores in SCZ.45 Collectively, this literature highlights links between alterations in “anticipatory” reward processing and negative symptoms in SCZ.

In MD the literature has also documented alterations in reward anticipation. This is perhaps best summarized by a recent meta-analysis, which reported evidence for reduced activity across a reward network that included subcortical and limbic regions.67 The meta-analysis also revealed reductions in striatal signals following anticipation of monetary rewards. However, as highlighted by the authors of this meta-analytic work, this literature is associated with massive heterogeneity in the tasks used to probe associated deficits in reward processing, as well as the clinical status of the individual MD samples (ie, differing severity of mood states). Therefore, more consensus is needed to fully establish the presence and the nature of anticipatory reward processing deficits in MD with evidence pointing to presence of such deficits.68 As noted, a related computation to facilitate appropriately representing future reward involves the ability to learn or associate cues with future pleasurable (or aversive outcomes). Thus, the extent to which these “wanting” deficits in MD are more strongly related to “liking” deficits versus impairment in learning mechanisms needs to be fully established. There is evidence for such deficits in MD,12,69-71 which was also found to be associated with greater reported anhedonia.72 However, unlike SCZ, individuals with MD seem to show little evidence for impairments when there is explicit instruction or feedback, as summarized by Barch and colleagues.3,73 Barch and colleagues intriguingly posit that this may reflect higher levels of cognitive control impairment in SCZ relative to MD, resulting in limited capacity to learn from explicit instruction.3 This highlights how deficits in computations underlying affect and cognition may differentially interact in SCZ relative to MD.13 In fact, one of the core symptoms in SCZ relates inability to represent and maintain information over time (ie, deficits in working memory, WM), which may interact with affective computations and collectively contribute to motivational deficits.13

Representing reward value versus effort

As stated, another major aspect of motivated behavior involves representing how hard one has to “work” for a given reward or “effort” computation. Even if “liking” and “wanting” computations remain intact, motivated behavior could be disrupted if representations of “effort” or “cost” associated with pursuing a reward are altered. Emerging research suggests that the dorsal anterior cingulate cortex (dACC) may be important for effort evaluation associated with different action plans, with contributions from dopaminergic signaling in the nucleus accumbens.74-77 Several studies demonstrated that depleting dopamine in the nucleus accumbens or lesions to the dACC cause animals to select lower reward choices that are associated with lower effort over higher reward options that require more relative effort.74,75,78-81 This literature is still emerging in human studies across both SCZ and MD. Limited studies in SCZ on this topic support the notion that SCZ is associated with reduced error-related ACC responses,82-89 perhaps reflecting deficits in effort-related neural computations. That said, it is not clear whether these deficits directly map onto lower effort-related computations in the context of reward tasks specifically. Studies on a related topic have not found evidence of reduced cognitive effort in SCZ,90 possibly calling into question that dACC abnormalities are indeed related to ”effort“ per se in the context of reward processing.

In MD studies reported reduced effort allocation, suggesting that MD patients exhibit a lower tendency to engage more effort for proportionately greater rewards.91,92 However, this effect may at least in part relate to severity of depressive symptomatology.93 One possibility, summarized by Barch and colleagues,3 is that while both SCZ and MD exhibit effort computation deficits, the mechanisms governing these behavioral outcomes may be quite distinct. In MD there may be “primary” deficits in the mesolimbic pathways and dopamine projections, whereas in SCZ the effort computation deficits may be linked to “primary” alterations in cognitive control capacity. Future cross-diagnostic studies on this topic will help address these hypotheses by mapping behavioral and neural patterns in response to reward-related effort computations.

Goal-directed actions: representing rewards over time

One additional cross-diagnostic component of reward-related processing relates to the ability to internally generate, represent, and ultimately execute goal-directed action in the service of desired outcomes. This process is closely related to “cognitive control” and the ability to accurately represent information over time. There is unequivocal evidence that SCZ is associated with behavioral and neural deficits in cognitive control capacity.94,95 Typically, frontoparietal circuits are implicated in cognitive control deficits in SCZ and lateral PFC in particular, which is required to represent information over time,96-98 Furthermore, lateral PFC activity can mediate “motivated” cognitive control enhancements that occur in association with rewarding outcomes in both basic99-102 and human research.103-106 Intact cognitive control circuits may be critically involved in maintaining information related to value of rewards to form coherent goal representations so that specific action plans can be guided to achieve the desired rewarding outcome. Thus, an important question is whether some of the motivational impairments observed in SCZ reflect, at least in part, problems in translating reward information into goal representations that can be maintained in frontoparietal control circuits and utilized to guide goal-directed motivated behavior.

To date, there is still little direct experimental work on this topic. One approach is to quantify how motivational incentives impact cognitive performance, potentially via modulation of activity across cognitive control circuits. Evidence suggests that SCZ is associated with reduced ability to improve performance on cognitive control tasks when rewarded.107-110 Other studies, however, suggest some improvement in performance following receipt of reward in SCZ.111-113 That said, this work has not explicitly manipulated cognitive control or employed more challenging “executive” tasks. Also, there is little neuroimaging evidence that would suggest that rewards could alter neural activity during cognitive paradigms in SCZ. This question was indirectly addressed by a study by Ursu and colleagues.114 They presented participants with affective or neutral pictures, followed by a delay during which subjects “maintained” the affective state, Following the delay, all participants provided ratings of their emotional experience, Interestingly, during the initial stimulus presentation phase individuals with SCZ and healthy comparison subjects showed little difference in neural activity, consistent with intact “in-the-moment” response to affective stimuli. However, when required to “maintain” the affective content over time, individuals with SCZ exhibited reductions in blood oxygen level-dependent signal across regions previously linked to cognitive control, which correlated with negative symptom severity. This effect is congruent with the hypothesis that individuals with SCZ may have difficulty representing information about rewards and incentives that can be used to drive goal-directed behavior.115

In MD the picture is more mixed and the severity of cognitive impairment may not be as severe as that associated with SCZ.116 Studies do suggest, however, that MD is associated with alterations in neural activity during paradigms requiring emotional regulation.117,118 Thus, while MD may be associated with deficits in cognitive control, these deficits may emerge more selectively in the context of affective regulation demand as opposed to a “primary” deficit in cognitive control. One possibility is that there are important diagnostic differences in situations where rewards and goals require continuous representation over time. For instance, Sheline and colleagues reported that individuals with MD fail to activate brain regions associated with self-referential computations while reappraising negative images,118 also observed by other groups.119 These suppression deficits have been linked to negative rumination in MD.120 This is in contrast to SCZ, where lack of task-induced suppression of “self-referential” neural regions has been reported most consistently during cognitive demand. Therefore, in MD there may exist a failure to suppress certain areas that are typically deactivated during cognitive tasks (in particular medial prefrontal cortex in MD). In turn, in MD this may result in primarily overactive representations of negative internal thought, which in turn affect the ability to engage in executive processes. Conversely, in SCZ there may exist a “primary” inability to engage executive resources.121 If one considers the interplay between affective and executive areas in the context of dynamical systems, the resulting regime in MD may be associated with primary hyperactivity of affective regions and secondary reductions of control-related regions. Such an outcome in MD may nevertheless have detrimental effects on cognitive performance and perhaps the ability to represent goals over time, In turn, mapping whether primary deficits in cognition “drive” motivational disturbances in SCZ (but not MD) will be crucial to rationally inform treatment targets for specific symptoms that may emerge as secondary consequences (Figure 2).

Figure 2.
Figure 2. Hypothesized interaction between affect and cognition in major depression (MD) and schizophrenia (SCZ). This schematic highlights the potential interplay between emotional and cognitive computations that may be affected in MD and SCZ. It selves to highlight the intuition that affective and cognitive processing operates at multiple temporal scales and interacts in different ways across these scales. Future studies that attempt to parse the nature of cross-diagnostic affective deficits in SCZ and MD may consider a broader perspective of affect and cognition as integrally linked computations sub-serving linked behavioral dimensions,14 which can “dysinteract” in complex ways across diagnostic categories.13

Translating deficits in SCZ and MD across levels of analyses

Limitations of cognitive neuroscience approaches—mapping circuit mechanisms across levels analysis

We discussed the complex cognitive and motivational processes affected in SCZ and MD from the “cognitive neuroscience” perspective, mainly due to the functional resolution of noninvasive human neuroimaging. Such approaches have reduced our search space. However, when used in isolation, these methods face barriers for identifying underlying cellular mechanisms, which is crucial to identity pharmacological therapies for cognitive and motivational impairments that cut cross-diagnostically. Thus, it will be critical to close these gaps in our understanding of emotion and cognition in SCZ and MD across levels of explanation: from synaptic signaling at the microcircuit level, to system-level disruptions and ultimately abnormal behavior.

A comprehensive review of synaptic hypotheses in SCZ and MD is beyond the scope of this review (see refs 122,133). For parsimony, we briefly highlight how evolving cellular-level hypotheses in SCZ offer a foundation for understanding higher-order emergent neural system and behavioral deficits that warrant mechanistic explanations. A number of studies to date have implicated alterations in structure and function across distributed cortico-striatal-thalamo-cortical circuits in SCZ, which may relate to the complex cognitive and motivational alterations46,95,134-141 (Figure 3). These areas form interacting cortico-subcortical functional loops, which function in concert to produce motivated behavior and are regulated by multiple neuromodulatory mechanisms142,143 (Figure 3). Disruptions across interacting neurotransmitter systems, including dopamine (DA), γ-aminobutyric acid (GABA) and glutamate have been implicated in SCZ.124,126,144,145 For example, there is mounting evidence for DA signaling disruptions at the level of the dorsal striatum in SCZ140,146 (for review see ref 125). SCZ patients may also exhibit disruptions involving glutamateric NMDARs,124 as well as disruptions in GABA synthesis and signaling from interneurons onto pyramidal cells.123,126,147-149 The field is still equivocal regarding which of these alterations may be upstream of symptoms.122 It is likely that considering the dynamical interactions across these neurotransmitter systems will be needed to yield a more complete understanding of the illness and in turn the complexity of emerging symptom profiles in SCZ.150

Figure 3.
Figure 3. Conceptual illustration of neural circuitry across levels of computation that may be involved in affective and cognitive disturbances in schizophrenia (SCZ). The figure highlights how, in order to explain deficits at the phenomenological/behavioral level, we need to bridge observations across multiple levels of analysis in SCZ. (a) At the regional level there is clear evidence for both structural and functional abnormalities in cortical134-138 and striatal/thalamic circuits in SCZ.46,95,134-136,139-141 Based on emerging findings from basic animal,148,155 post-mortem126,147 and pharmacological studies,124 there is an increasing understanding of microcircuit abnormalities that may be at play in SCZ, contributing to regional abnormalities.127 One possibility is that that abnormalities in the balance of excitation (E)/inhibition (I) in cortical micro-circuitry (E/I balance) contribute to downstream system-level disturbances that encompass distributed circuits and neurotransmitter systems in SCZ. One leading hypothesis postulates an imbalance between cortical excitation and inhibition between pyramidal cells (red) and interneurons (blue), producing a state of ”disinhibition,“ which may in turn affect regional and neural system-level function in schizophrenia.155 (b) Less is known about how some of these regional deficits and microcircuit alterations manifest in possible system-level disruptions in functional connections between prefrontal, striatal, limbic, and thalamic nodes in SCZ.151 Deficits in these interacting functional systems need to be considered when interpreting abnormalities between affective and cognitive operations in SCZ and also in major depression. Considering effects across all of these levels will be critical to mechanistically understand complex schizophrenia phenomenology. GABA; γ-aminobutyric acid; VTA, ventral tegmental area. Adapted from ref 176: Anticevic A, Dowd EC, Barch DM. Cognitive and motivational neuroscience of psychotic disorders. In: Charney D, Nestler EJ, Sklar P, Buxbaum J, eds. Neurobiology of Mental Illness. 4th ed. Oxford, UK: Oxford University Press; 2014. Copyright © Oxford University Press 2014

One organizational principle that could unify these interactive systems across levels of analysis is to consider how they may be jointly impacted by cortical microcircuit alterations126,127,151 That is, perhaps if we were to start from cellular-level models, we may ultimately be able to better understand complex dynamics that emerge at higher levels of observation involving neural systems and behavior.151-153 Consider that optimal cortical function depends on the balanced interaction of excitatory (E) and inhibitory (I) neurons154 (ie, E/I balance). Disruptions in E/I balance can have drastic behavioral consequences, with implications for a number of neuropsychiatry conditions.127,155 In SCZ specifically there may be a functional deficit in the interaction between excitatory and inhibitory cortical neurons.126,127,147,148,156,157 Such E/I imbalance may arise from multiple factors affecting cortical inhibition. One mechanism may involve reduced inhibitory drive via GABA interneurons onto pyramidal cells, which causes elevated E/I balance or disinhibition. 126,127 Postmortem studies analyzing brain tissue of SCZ patients consistently reveal reduced levels of the mRNA for the 67-kilodalton isoform of glutamic acid decarboxylase (GAD67, encoded by GAD1). This is a key mechanism that contributes to optimal GABA levels in cortical circuits and may be disrupted in cortical circuits in SCZ.147 GABAergic interneurons function by exerting lateral inhibition and synchronizing persistent firing of pyramidal cells in cortical circuits,158 thus providing one potential mechanism for the tuning of representations across cortex. Disruptions in E/I balance may be one crucial pathophysiological mechanism operating in SCZ,127 relevant to the patterns of neural and behavioral responses that we discuss presently. At present, it is unknown how these cellular disruptions in E/I balance may manifest at the level of neural systems and ultimately diverse motivational impairments in SCZ.155

Integration of multidisciplinary methods to map cross-diagnostic symptom mechanisms

The ultimate goal is to close the gaps between circuit mechanisms and symptoms. State-of-the-art clinical neuroscience research offers multiple paths forward. One approach that could help unify levels of analysis may involve the emerging field of “computational psychiatry” which aims to mathematically formalize neural and behavioral deficits across diagnostic categories and symptoms.159,161 Particularly relevant are models rooted in neurophysiologic data and that build on assumptions based on molecular and systems neuroscience162-164—namely biophysically based models. Progress has been made in leveraging such computational tools in the context of WM deficits following N-methyl D-aspartate receptor (NMDAR) antagonism.165,166 Low levels of NMDAR conductance disruption from I onto E cells (ie, inhibitory connections) can profoundly affect behavior and neural activation during WM performance1,66,167 suggesting one putative mechanism for observations reported in SCZ, with cross-diagnostic relevance for MD.121 More recently, such microcircuit models have been extended to neural systems.168-170 Building on these approaches, future “computational psychiatry” studies are positioned to generate testable and neurobiologically grounded predictions for mechanisms that may operate cross-diagnostically. In turn, a complementary approach involves examining hypotheses regarding neural dysfunction via safe and transient pharmacological challenge that can be administered inside the MR scanner to healthy adults.171 These and other complementary neuroscientific approaches will be critical to close the explanatory gaps between synaptic hypotheses and symptoms that co-occur across both SCZ and MD.

Considering the role of glutamate across SCZ and MD

One final consideration that may help unify the pathophysiological mechanisms underlying SCZ and MD symptoms involves glutamatergic pharmacotherapies for SCZ and MD132,172 Here it is useful to consider the complex effects of NMDAR antagonists such as ketamine, which when administered at a low dose acutely to psychotic individuals tend to exacerbate symptoms.173 Conversely, when administered to individuals with MD, ketamine exhibits rapid-acting antidepressant properties, albeit after a brief period.130,132,174 Thus, deficits in glutamatergic signaling may represent, at least in part, a common neurobiological theme across these clinical conditions. Figure 4 highlights the possibility that in MD altering glutamatergic signaling, via administration of an NMDAR antagonist, may exert therapeutic benefits by increasing proliferation of dendritic spines due to increased glutamatergic neurotransmission.175 However, in the context of a possibly preexisting disinhibited microcircuit, as is hypothesized in SCZ,123,127,147 NMDAR antagonist administration may exacerbate psychotic symptoms and cognitive deficits, at least transiently, but without concomitant antidepressant effects. Forthcoming pharmacological neuroimaging and cross-diagnostic studies will be needed to understand the paradoxically dissociable effects of the same pharmacological manipulation across neuropsychiatric conditions.

Figure 4.
Figure 4. Simplified hypothesized cellular-level mechanisms in schizophrenia (SCZ) and major depression (MD): central role of glutamatergic neurotransmission. This simple “inverted U” model illustrates the role of glutamate across clinical conditions such as MD and SCZ. This conceptual example is based on evidence that glutamatergic therapies involving acute N-methyl D-aspartate receptor antagonism act therapeutically on mood in the context of MD,174 but result in exacerbation of psychotic symptoms in individuals diagnosed with a psychotic disorder.177 This conceptual illustration highlights the idea that it may be important to understand the role of glutamatergic deficits across psychiatric conditions and role of pharmacotherapies targeting this complex system.124

Concluding remarks and future directions

We posit that, in order to develop effective treatments for impairing affective symptoms across MD and SCZ, we may need to adopt a “translational” neuroscience framework. We briefly articulated the use of a “computational psychiatry” framework to understand the potential role of NMDA receptor dysfunction and excitatory/inhibitory circuit deficits in SCZ. Regardless of the specific mechanisms tested, the use of such a framework, combined with experimental tools, will help inform treatments for cognitive and motivational impairment across diagnoses. Ultimately, more research is needed that directly compares cognitive and motivation deficits across typical diagnostic boundaries, with a focus on understanding whether similar deficits at the behavioral level are linked to similar deficits at the neural level. Despite existing challenges, the field of clinical neuroscience is at an exciting junction where progress can be accelerated by combining emerging neuroimaging approaches with translational techniques that can reveal mechanisms.