Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14365/5184
Title: | The effect of emotional faces on reward-related probability learning in depressed patients | Authors: | Keskin-Gokcelli, D. Kizilates-Evin, G. Eroglu-Koc, S. Oğuz, Kaya Eraslan, C. Kitis, O. Gonul, A.S. |
Keywords: | Amygdala Depression fMRI Probabilistic reward learning Reward processing Striatum |
Publisher: | Elsevier B.V. | Abstract: | Background: Existing research indicates that individuals with Major Depressive Disorder (MDD) exhibit a bias toward salient negative stimuli. However, the impact of such biased stimuli on concurrent cognitive and affective processes in individuals with depression remains inadequately understood. This study aimed to investigate the effects of salient environmental stimuli, specifically emotional faces, on reward-associated processes in MDD. Methods: Thirty-three patients with recurrent MDD and thirty-two healthy controls (HC) matched for age, sex, and education were included in the study. We used a reward-related associative learning (RRAL) task primed with emotional (happy, sad, neutral) faces to investigate the effect of salient stimuli on reward-related learning and decision-making in functional magnetic resonance imaging (fMRI). Participants were instructed to ignore emotional faces during the task. The fMRI data were analyzed using a full-factorial general linear model (GLM) in Statistical Parametric Mapping (SPM12). Results: In depressed patients, cues primed with sad faces were associated with reduced amygdala activation. However, both HC and MDD group exhibited reduced ventral striatal activity while learning reward-related cues and receiving rewards. Limitations: The patients'medication usage was not standardized. Conclusions: This study underscores the functional alteration of the amygdala in response to cognitive tasks presented with negative emotionally salient stimuli in the environment of MDD patients. The observed alterations in amygdala activity suggest potential interconnected effects with other regions of the prefrontal cortex. Understanding the intricate neural connections and their disruptions in depression is crucial for unraveling the complex pathophysiology of the disorder. © 2024 Elsevier B.V. | URI: | https://doi.org/10.1016/j.jad.2024.01.247 https://hdl.handle.net/20.500.14365/5184 |
ISSN: | 0165-0327 |
Appears in Collections: | PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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