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Neural Bases of Affect-Based Impulsivity: A Decision Neuroscience Account Cover

Neural Bases of Affect-Based Impulsivity: A Decision Neuroscience Account

Open Access
|Apr 2026

Figures & Tables

Figure 1

Example of affect-based impulsivity. a) Baseline conditions. (i) Ada and Darius are watching a TV show but are experiencing technical difficulties. The picture resolution is poor due to the placement of the digital antenna. (ii) Ada considers different actions: watching the show on her laptop, fixing the TV, or continue watching the show on the TV (despite the poor resolution). (iii) Ada receives a text inviting her and Darius to a potluck the next evening. b) Interpersonal conflict leads to change in affective state. (i) Ada and Darius disagree over what baked good to bring to the potluck. (ii) Ada experiences an increase in negative affect and labels her emotional experience “shame.” (iii) Too distressed to continue the conversation with Darius, Ada decides to leave the apartment. c) Negative affect alters valuation of different actions and motivates impulsive behavior. (i) Ada’s intense emotional state persists, and she considers actions that she anticipates will reduce her current negative affective state: drinking alcohol, using a different emotion regulation skill (e.g., deep breathing), and returning home to talk through the conflict with Darius. (ii) While on her walk, Ada encounters a sign for a bar, which functions as a conditioned reward cue. (iii) Ada vigorously pursues the reward – alcohol – and quickly becomes drunk.

Table 1

How does affective state shape decision processes across the four stages of a decision? N.B. Though our focus is on impulsive behaviors that are maladaptive, we anticipate that similar mechanisms may explain adaptive responses to an emotion (e.g., grizzly bear sighting ➔ fear ➔ freeze).

STAGE OF DECISION-MAKINGCOGNITIVE AND REINFORCEMENT LEARNING MECHANISMSNEUROCOMPUTATIONAL AND NEUROENDOCRINE TARGETS
i)Whether to act?
  • Controllability determines whether to act

  • When uncontrollable, Pavlovian learning predominates

  • When controllable, action largely under instrumental control

  • Computations of controllability encoded in PFC, as well as BNST, insula, and posterior cingulate gyrus

  • When uncontrollable, serotonin inhibits behavior

  • When controllable, dopamine (DA) motivates behavior

ii)Which actions to consider?
  • Emotions alter goals and narrow action set to affect-congruent responses

  • Pavlovian system supports learning conditioned cues of emotional state

  • Salience network, primary and secondary somatosensory cortices, insula, hypothalamus are modulated by internal state

  • Corticotropin releasing hormone initiates release of stress hormones

  • Emotional state alters action set via related neural circuits (e.g., co-activation of circuits, hippocampal replay, PAG)

iii)How to decide among actions?
  • Cached values of actions depend on prior learning when in similar affective state

  • Actions are evaluated using less deliberative reasoning

  • Model-free learning is frequently preferred, especially with constrained cognitive resources

  • When model-based reasoning is used, computations simplified (e.g., shortening a simulation after a large loss)

  • Glucocorticoids (GCs) and norepinephrine (NE) released as part of stress response

  • High levels of NE and DA in PFC hamper effective communication between ensembles of neurons

  • Less efficient processing in PFC leads to reduction in complex model-based computations

iv)How vigorously to engage in action?
  • Heightened vigor for affect-congruent actions

  • Appetitive Pavlovian-to-Instrumental Transfer (PIT) accounts for heightened vigor

  • Appetitive PIT partly reflects opportunity cost associated with inaction

  • Affect-related increases in GCs enhance reactivity of DA receptors in NAcc shell

  • Heightened sensitization of mesolimbic DA reward circuit leads to enhanced pursuit of rewards associated with appetitive cues

Figure 2

A stressor (1) induces negative affect. Increase in negative affect elicits concomitant changes in circulating levels of (2) norepinephrine (NE) and glucocorticoids (GCs). (3) GCs enhance dopamine (DA) reactivity in nucleus accumbens (NAcc) shell, and NE and GCs blunt medial prefrontal cortex (mPFC) functioning. (4) Altered functioning in mPFC and NAcc shell results in altered balance of Pavlovian and goal-directed decision systems. Heightened influence of Pavlovian systems on decision-making amplifies influence of reward cues and (5) invigorates pursuit of rewards.

DOI: https://doi.org/10.5334/cpsy.159 | Journal eISSN: 2379-6227
Language: English
Submitted on: Sep 15, 2025
Accepted on: Feb 23, 2026
Published on: Apr 22, 2026
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2026 Alison M. Schreiber, Michael N. Hallquist, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.