.png){kind=icon}
返回
Overcoming Automaticity Through Meditation
.png){kind=icon}
OA
AI
DOI：10.1007/s12671-021-01749-8.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Objectives Meditation practice has recently moved into applied research to improve cognitive functions. However, it is a multifaceted practice, with focused attention meditation relying on a sharp focus, and open monitoring meditation relying on a diffuse awareness. This study aims to assess the effects of differential alterations of cognition following distinct meditative training and focuses on practitioners' tendency to fall victim to erroneous automaticity in responding when faced with cognitive conflict. Methods Seventy-three individuals were randomly assigned to one of three intervention groups (internally focused attention meditation, externally focused attention meditation, open monitoring meditation) or a wait list control group. The meditation groups were trained over the course of 4 weeks and eight sessions. Changes in proneness to erroneous automatic responding were tested using two cognitive performance tasks that induce learned or instructed automaticity (Dot Pattern Expectancy paradigm, NEXT-paradigm). Results Overall, meditation training generally improved overcoming learned automaticity (rs = .26-.36, ps = .002-.031) but not instructed automaticity compared to the control condition. Furthermore, data suggest open monitoring outperformed focused attention in overcoming learned automaticity in one task (rs = .31-.56, ps <= .001-.009). Conclusions Our results provide evidence for meditative training to facilitate practitioners' ability to select the most appropriate course of action against overlearned habits in light of the peculiarities of their current situation. Open monitoring meditation is a particularly promising avenue for reducing one's liability to erroneous habits.
Keyword:
Cognitive training
Mindfulness
Meditation
Automaticity
Cognitive control
期刊
IF:
3.5
论文数:
2.9K
被引数:
9.3K
机构
引用论文
.png){kind=icon}
Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median检测异常值: 不使用平均值周围的标准偏差，使用中位数周围的绝对偏差
OAAI
OAAI分享收藏Mating with a kin decreases female remating interval: a possible example of inbreeding avoidance
PREAI
分享收藏
查看更多内容