five

Replication data and materials for Positive Imagery Training Increases Positive Self-Referent Cognition in Depression

收藏
DataCite Commons2026-03-27 更新2026-05-05 收录
下载链接:
https://dataverse.tdl.org/citation?persistentId=doi:10.18738/T8/RHEMGW
下载链接
链接失效反馈
官方服务:
资源简介:
This is data for an accepted manuscript. The post-print is available <a href="https://doi.org/10.17605/OSF.IO/7XKHG">on PsyArXiv</a>; the published article will be available in <a href="https://doi.org/10.1016/j.brat.2018.09.010">Behaviour Research and Therapy</a>. Abstract: Depressed adults often show a bias towards negative self-referent processing at the expense of positive self-referent processing. The current study assessed whether a mental imagery intervention (Positive Self Reference Training -- PSRT) delivered via the Internet could improve self-referent processing and depressive symptomatology among adults with moderate or greater depression symptoms. Participants were recruited via online methods and randomly assigned to one of two computerized interventions: active PSRT (n = 44) or control training (NTC; n = 43). The PSRT involved visualizing the self in response to different positive cues (e.g., an achievement) every other day for two weeks. The NTC provided neutral cues about objects. Self-referential processing of positive and negative adjectives and depression symptoms were measured at baseline, one week, and two weeks after initiating training. Over those two weeks, PSRT participants showed a greater increase in positive self-referent processing than did NTC participants. Negative self-referent processing and symptoms of depression declined comparably in both groups. Similarly, for both groups, increase in positive and decrease in negative self-referent processing was associated with a greater reduction in depression. These results indicate that mental imagery has the potential to improve self-referential processing, especially for positive stimuli, which may, in turn, help reduce depressive symptomatology.
提供机构:
Texas Data Repository
创建时间:
2018-05-21
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作