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| Content Provider | frontiers |
|---|---|
| Author | Sheoran, Himansh Srivastava, Priyanka |
| Abstract | Cognitive impairment, alterations in mood, emotion dysregulation are just a few of the consequences of depression. Despite depression being reported as the most common mental disorder worldwide, examining depression or risks to depression is still challenging. Emotional reactivity has been observed to predict the risk of depression, but the results have been mixed for negative emotional reactivity (NER). To better understand the emotional response conflict, we asked our participants to describe their feeling in meaningful sentences alongside reporting their reactions to the emotionally evocative words. We presented a word on the screen and asked participants to perform two tasks, rate their feeling after reading the word using the self-assessment manikin (SAM) scale, and describe their feeling using the property generation task. The emotional content was analysed using a novel machine-learning algorithm approach. We performed these two tasks in blocks and randomized their order across participants. Beck Depression Inventory (BDI) was used to categorize participants into self-reported non-depressed (ND) and depressed (D) groups. Compared to the ND, the D group reported reduced positive emotional reactivity when presented with extremely pleasant words regardless of their arousal levels. However, no significant difference was observed between the D and ND groups for negative emotional reactivity. In contrast, we observed increased sadness and inclination towards low negative context from descriptive content by the D compared to the ND group. The positive content analyses showed a mixed result. The contrasting results between the emotional reactivity and emotional content analyses demand further examination between cohorts of self-reported depressive symptoms, no-symptoms, and MDD patients to better examine the risks to depression and help design early interventions. |
| ISSN | 16641078 |
| DOI | 10.3389/fpsyg.2022.814234 |
| Volume Number | 13 |
| Journal | Frontiers in Psychology |
| Language | English |
| Publisher Date | 2022-06-24 |
| Access Restriction | Open |
| Subject Keyword | Property generation task Emotional reactivity Mood congruence theory Vulnerability or risk to depression Models of depression Emotion Polarity Analysis Unipolar or Major depressive disorder (MDD) Affective/ Emotion Conceptual Representation Positive attenuation model Semantic analysis |
| Content Type | Text |
| Resource Type | Article |
| Subject | Psychology |
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