When Choices Break Down: How Faulty Brain Valuation Drives Psychiatric Disease

Why do we choose what we choose? For decades, neuroscientists and economists have wrestled with a deceptively simple question that turns out to be one of the hardest in modern brain science: how does the brain compare things as different as food, money, social status, and a few extra minutes of sleep? The long-standing neuroeconomic hypothesis holds that the brain translates these wildly disparate options into a single internal metric of subjective value, a so-called common currency.

Now, a new editorial in Frontiers in Behavioral Neuroscience, written by Enrico Patrono, Ron Keiflin, and Jean-Christophe Cassel, gathers a suite of recent studies to argue that when this valuation machinery breaks down, the result is not vague behavioral eccentricity but a quantifiable neurological failure with consequences ranging from anxiety and binge eating to dementia and psychosis. The editorial's starting point is a recent meta-analysis by Sripada that has refined the common currency view in a way its authors consider crucial. Rather than treating value as one monolithic signal, the meta-analysis shows that common currencies operate across two distinct phases and at two separate levels.

The first separation distinguishes the decision phase, in which value is actively computed during an immediate choice, from the learning phase, in which value estimates are updated after the organism experiences a reward or a punishment. The second separation distinguishes the options level, where competing choices are evaluated directly, from the meta level, where higher-order control mechanisms determine how resources are allocated across entire strategies. This dimensional decomposition matters because psychiatric illnesses do not damage valuation indiscriminately.

They selectively disrupt particular phases and levels, skewing the delicate balance of value computation in disorder-specific ways. The editorial also highlights a theoretical divergence that has often been glossed over in popular accounts of neuroeconomics. Cognitive science leans heavily on mechanistic common currency models, which focus on the biological and algorithmic processes that actually generate value inside a nervous system.

Economics, by contrast, relies on axiomatic common currency models tied to expected utility theory, concentrating on rational preference structures and behavioral outcomes rather than on neural constraints. While algorithmic models track the flow of value through the brain's decision circuits, molecular imaging techniques reveal the neurochemical engines running the underlying calculations. One original research study highlighted in the collection, led by Park and colleagues, investigated how neurotransmitter concentrations influence learning under conditions of gains and losses.

Using magnetic resonance spectroscopy, the researchers measured baseline concentrations of glutamate and glutamine, collectively abbreviated Glx, within the prefrontal cortex and the anterior insular cortex, and then related those concentrations to measures of general anxiety and depression. The study uncovered a mechanism the authors describe as a vital bridge to general psychopathology: Glx-related error sensitivity within the anterior insular cortex was linked to overall psychopathological burden. The anterior insula occupies a privileged position in this account because it monitors both prediction errors, the discrepancies between expected and received outcomes that drive learning, and internal visceral states, the bodily signals that color every decision with emotional significance.

When local glutamate concentrations in this region are altered, the internal error signaling that should calibrate learning from positive and negative feedback breaks down. The result, according to the study, is the kind of affective miscalculation characteristic of anxiety and depressive disorders, in which patients systematically misjudge the value of future outcomes. This finding elevates the anterior insular cortex to the status of a primary target for future glutamate-mediated therapies aimed at recalibrating skewed decision-making processes, though the editorial is careful to frame this as a direction for research rather than an established treatment.

The real-world consequences of valuation breakdowns become vivid in behavioral maladaptations such as eating disorders. A second original study, by Vajoda and colleagues, examined how environmental stressors trigger eating pathologies using an animal model of compulsive chocolate seeking and taking behavior. The researchers exposed subjects to diverse environmental stressors, evaluating both food-related and non-food-related triggers, and found that severe stress alters the brain's motivational valuation, driving an aberrant motivation toward palatable foods.

In the language of the common currency framework, when an organism is pushed into a high-stress state, its internal valuation scale tilts violently toward immediate, high-calorie relief, producing pathological risk-based decision-making in which the urgent pursuit of reward blinds the decision network to long-term physical or psychological consequences. This animal work is presented as modeling the mechanics of binge-eating-like maladaptive behaviors in humans, and the editorial uses it to illustrate a broader translational principle: the same valuation architecture that serves healthy choice can, under sufficient stress, generate compulsive behavior. Pathological choices, the collection emphasizes, are not confined to functional psychiatric illnesses; they are also prominent features of neurodegenerative decay.

A comprehensive review by Tavakolan Haghighi and colleagues evaluated the behavioral variant of frontotemporal dementia, or bvFTD, a disease characterized by striking changes in personality and social conduct. The review asked whether impaired decision-making stands as the most prominent and clinically relevant cognitive deficit in these patients, and the answer it documents is striking. Even when bvFTD patients maintain completely intact standard cognitive profiles, with preserved memory and language skills, they show profound impairments on specialized decision-making tasks.

This suggests that choice deficits may serve as an early, highly specific clinical marker of the disease, manifesting long before broader dementia symptoms surface, although the editorial presents this as a marker candidate supported by the reviewed evidence rather than a validated diagnostic test. The neuroimaging data assembled in that review linked these decision-making deficits to structural atrophy across a widely distributed network. The degenerative web spans the ventromedial and orbitofrontal cortices, the anterior cingulate, the insula, and even cerebellar regions, the latter increasingly recognized for their role in error-based learning and cognitive tracking rather than mere motor coordination.

When decision-making impairments spill into the social domain, they can alter behavior in ways that intersect with the legal system, and a key meta-analysis by Sebalo and colleagues examined the central role of impulsivity in models accounting for criminal conduct in general and violent behavior specifically. The classic metric of impaired choice here is delayed reward discounting, the tendency to overvalue immediate rewards while drastically devaluing future consequences. The meta-analysis uncovered an important distinction: steep delayed reward discounting is robustly associated with general criminal conduct, but its specific association with violence is tenuous.

Violent acts, the analysis suggests, are often driven by immediate threat-reactivity, social cognitive deficits, or acute neurochemical spikes, rather than by the calculated, long-term reward discounting that better predicts property or financial crimes. This differentiation warns clinicians and criminologists against treating impulsivity as a single monolithic cause of antisocial behavior. At the furthest end of cognitive disorganization sits schizophrenia, a multiform psychiatric disorder in which impairments of high-order cognitive abilities, including behavioral flexibility, working memory, and decision-making, are considered core onset markers.

A review by Černousova and colleagues set out to synthesize these disparate symptoms into a single, hypothesis-generating framework centered on altered brain communication. Building on the well-known disruption of prefrontal-hippocampal communication, the review specifically sought out the intermediate structures contributing to cognitive impairments in psychosis. By gathering translational, in vivo, and in silico computational evidence, it demonstrated a significant involvement of the midline thalamic nuclei in gating prefrontal-hippocampal traffic.

When this midline thalamic hub fails, the brain cannot synchronize its memory systems with its executive planning networks, and the review argues that this failure stimulates a vital need for new computational and translational experimental methodologies to map maladaptive brain communication and develop targeted interventions for psychosis. Taken together, the studies assembled in this editorial make a coherent case that pathological decision-making is not a vague behavioral quirk but a measurable neurological failure with identifiable computational, molecular, and circuit-level signatures. Whether mapped through the phase- and level-specific common currency models of neuroeconomics, tracked through insular glutamate concentrations, traced to stress-shifted valuation in compulsive eating, detected as early choice deficits in frontotemporal dementia, parsed into distinct forms of impulsivity in criminology, or localized to midline thalamic gating failures in psychosis, impaired choice offers a powerful window into the psychiatric mind.

The editorial's authors contend that by refining these algorithmic and structural models, modern neuroscience is paving the way for targeted, circuit-based therapies that could help patients regain control over their choices and, ultimately, their lives.

Subject of Research: Translational neuroscience of decision-making and its psychiatric and neurological pathologies

Article Title: Editorial: Decision making and its pathologies: a translational animal-to-human overview

Article References: Patrono, E., Keiflin, R., & Cassel, J.-C. (2026). Editorial: Decision making and its pathologies: a translational animal-to-human overview. Frontiers in Behavioral Neuroscience, 20, 2021188. https://doi.org/10.3389/fnbeh.2026.2021188

Image Credits: AI Generated

DOI: 10.3389/fnbeh.2026.2021188

Keywords: decision making, neuroeconomics, common currency, anterior insula, glutamate, binge eating, frontotemporal dementia, delayed reward discounting, impulsivity, schizophrenia, midline thalamus, prefrontal cortex