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Record W4411389007 · doi:10.3389/fnbeh.2025.1632916

Editorial: Brain reward and aversion circuits: progress review on current and future breakthroughs

2025· editorial· en· W4411389007 on OpenAlexaff
Dan P. Covey, Keith B.J. Franklin

Bibliographic record

VenueFrontiers in Behavioral Neuroscience · 2025
Typeeditorial
Languageen
FieldNeuroscience
TopicNeural and Behavioral Psychology Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsNeurosciencePsychologyBrain stimulation rewardCentral nervous systemNucleus accumbens

Abstract

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Xu, Lin, Yu, and Zhou (2024) provide a comprehensive review of NAc circuitry. Historically seen as a primary site for reward processing, the NAc has more recently been implicated in aversion processing, as well. The authors describe the anatomical and functional heterogeneity of the NAc, including the various cell types and their interconnections. Xu et al. also discuss how dysregulation within the NAc circuitry can lead to psychiatric disorders such as addiction and depression. Prolonged exposure to stress or drug use can induce maladaptive plasticity, altering synaptic strength and neurotransmitter balance in a way that reinforces compulsive behavior or persistent negative mood. The review calls for a more refined understanding of the pathways and cell types involved, especially the role of neuromodulators like dopamine, serotonin, and acetylcholine, in order to develop targeted treatments that can restore healthy motivational states.Robison, Madore, Cova, Drugan, and Charntikov (2024) evaluated how intermittent swim stress affects the economic demand for ethanol. They found that all rats, whether they experienced real stress or a sham condition, exhibited increased demand for alcohol following the stress procedure. This suggested that factors such as time-dependent craving or abstinence effects may drive general increases in ethanol consumption. However, when the researchers accounted for physiological stress responses by measuring corticosterone levels, they uncovered a stronger narrative. Rats that showed greater increases in corticosterone following the swim stress also demonstrated greater increases in ethanol demand, revealing a clear correlation between stress responsivity and substance-seeking behavior.Braden and Castro (2025) provide an in-depth overview of the dorsal raphe nucleus (DRN), a region in the midbrain traditionally known for its role as the primary source of serotonin to the forebrain. Yet, the DRN contains a much richer neurochemical environment than previously acknowledged, with a significant proportion of its neurons being non-serotonergic and expressing a variety of neuropeptides. Within the DRN, peptides such as dynorphin, enkephalin, nociception, corticotropin-releasing factor, galanin, and neuropeptide Y contribute to modulating reward, stress, and aversion. The authors detail how these molecules influence both local circuits within the DRN and projections to other regions like the amygdala, NAc, and ventral tegmental area. Notably, these peptide systems often operate independently of serotonin, challenging the monoamine-centric view of mood regulation that has dominated psychiatric medicine for decades. 2023) provide a sweeping review of the neurobiological mechanisms underpinning reward prediction error (RPE) and its significance in learning and adaptation. They explain that learning is essentially a process of updating beliefs in response to surprises, and that dopamine neurons, particularly in the ventral tegmental area and substantia nigra pars compacta, are instrumental in signaling these surprises. Deng et al. delve into how this neural mechanism supports various forms of learning, such as reinforcement learning and reversal learning. The review also connects RPE signaling to disorders such as Parkinson's disease, where dopamine deficits impair this fundamental learning process, and addiction, where drugs hijack the reward system, creating exaggerated RPEs that reinforce harmful behaviors. Furthermore, the authors highlight that RPE not only aids in the acquisition of new behaviors but also in memory reconsolidation, where old memories are updated when mismatched information is encountered. Through this lens, RPE is not just a learning signal, but also as a tool for cognitive flexibility, enabling organisms to revise their expectations in a dynamic world.Ihara et al ( 2024) address a common challenge in studying motivation: how to interpret complex choice behavior in animals beyond a single data point. In progressive ratio (PR) tasks, the effort required to obtain a reward increases over time, and motivation is typically measured by the "breakpoint", or the maximal effort an animal will pay for a reward. However, Ihara et al. argue that this measure oversimplifies the complex stream of decisions animals make during the entire task. To better capture this nuance, they developed several computational models and tested them using behavioral data from mice engaged in PR tasks. The most accurate model was one that included "choice traces" or a memory of recent actions that influences future decisions. This model predicted that magazine nosepokes (where a mouse checks for a reward before completing the required effort) should diminish over time if they are not reinforced, a prediction validated by real-time dopamine measurements in the ventral striatum using fiber photometry. Interestingly, when mice were administered a low dose of methamphetamine the frequency of these nosepokes increased, though the breakpoint remained unchanged. This subtle behavioral modulation, captured through their model, underscores its potential to detect effects that conventional analysis might miss.In shifting from computational neuroscience to behavioral intervention, the final article by Shen and colleagues, offers a broader, translational perspective. Their systematic review and meta-analysis examine whether voluntary wheel-running can alleviate depressive symptoms in rodents. The researchers reviewed data from 15 studies, covering multiple models of depression, including maternal separation, chronic unpredictable mild stress, restraint stress, and social defeat. Across these varied paradigms, wheel-running consistently improved performance on classic behavioral assays for depression and anxiety. While the benefits of exercise were clear, the authors also noted substantial heterogeneity in study design, such as differences in exercise duration, stress induction protocols, and behavioral assessments. Nevertheless, the results converged on the same conclusion: voluntary physical activity has a robust and beneficial effect on mood-related behaviors in rodents. The mechanisms are likely multifactorial-ranging from enhanced dopamine and serotonin transmission to increased neuroplasticity and anti-inflammatory effects-many of which overlap with the same neural pathways involved in RPE and motivation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.150
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.049
GPT teacher head0.383
Teacher spread0.334 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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