ORIGINAL RESEARCH article
Front. Neurosci.
Sec. Perception Science
Volume 19 - 2025 | doi: 10.3389/fnins.2025.1574901
Neural correlates of emotional working memory predict depression and anxiety
Provisionally accepted
- 1Beijing Sport University, Beijing, China
- 2Beijing Normal University, Zhuhai, Zhuhai, Guangdong Province, China
- 3Beijing Normal University, Beijing, Beijing Municipality, China
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Emotional working memory (WM) plays a critical role in cognitive functions such as emotion regulation, decision-making, and learning. Understanding how emotional stimuli, particularly negative ones, affect WM performance is crucial for identifying cognitive markers of mental health issues like anxiety and depression. Our objective is to determine whether trait anxiety and depression levels are associated with specific performance outcomes in emotional WM and whether behavioral and neural indicators demonstrate statistically significant correlations with individual anxiety and depression levels in university students. In our research: Experiment 1 (n = 25) tested WM performance with both positive and negative emotional stimuli under different cognitive loads (2 vs. 4 items), while Experiment 2 (n = 34) combined EEG recording to investigate the neural index of anxiety and depression during negative emotional WM. Results showed that negative emotional stimuli impaired WM performance, especially under higher cognitive loads, with anxiety level being linked to increased theta activity during encoding and depression level associated with decreased alpha activity during retrieval. Additionally, individuals with higher anxiety exhibited reduced sensitivity to cognitive load differences in WM tasks involving negative emotions. These results demonstrated that specific EEG patterns during negative emotional WM were significantly associated with individual anxiety and depression levels, suggesting the potential utility of EEG measures for identifying at-risk individuals of anxiety and depression in university student populations. By linking cognitive and neural indicators, the study contributes to the development of personalized interventions for mental health monitoring and treatment.
Keywords: Emotional deficit, working memory, EEG, transdiagnostic methods, Anxiety and depression
Received: 11 Feb 2025; Accepted: 28 Apr 2025.
Copyright: © 2025 Li, Sun, Qi, Li and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Dongwei Li, Beijing Normal University, Zhuhai, Zhuhai, Guangdong Province, China
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