A salience misattribution model for addictive-like behaviors

NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS

卷:125

Review

Kalhan, Shivam¹  Redish, A. David²  Hester, Robert¹  Garrido, Marta I.^1,3 

[1] Univ Melbourne, Sch Psychol Sci, Redmond Barry Bldg,Parkville Campus, Melbourne, Vic, Australia

[2] Univ Minnesota, Dept Neurosci, Minneapolis, MN 55455 USA

[3] Australian Res Council Ctr Excellence Integrat Br, Clayton, Vic, Australia

关键词: Addiction;    Decision-making;    Adaptation;    Internal-model updating;    Salience;    Prediction-errors;    Anterior cingulate cortex;    Dopamine;   

DOI  :  10.1016/j.neubiorev.2021.02.039

来源: Elsevier

【 摘 要 】

Adapting to the changing environment is a key component of optimal decision-making. Internal-models that accurately represent and selectively update from behaviorally relevant/salient stimuli may facilitate adaptive behaviors. Anterior cingulate cortex (ACC) and dopaminergic systems may produce these adaptive internalmodels through selective updates from behaviorally relevant stimuli. Dysfunction of ACC and dopaminergic systems could therefore produce misaligned internal-models where updates are disproportionate to the salience of the cues. An aspect of addictive-like behaviors is reduced adaptation and, ACC and dopaminergic systems typically exhibit dysfunction in drug-dependents. We argue that ACC and dopaminergic dysfunction in dependents may produce misaligned internal-models such that drug-related stimuli are misattributed with a higher salience compared to non-drug related stimuli. Hence, drug-related rewarding stimuli generate over-weighted updates to the internal-model, while negative feedback and non-drug related rewarding stimuli generate down-weighted updates. This misaligned internal-model may therefore incorrectly reinforce maladaptive drugrelated behaviors. We use the proposed framework to discuss ways behavior may be made more adaptive and how the framework may be supported or falsified experimentally.

【 授权许可】

Free