Resting-State fingerprints of Acceptance and Reappraisal. The role of Sensorimotor, Executive and Affective networks
arxiv(2024)
摘要
Acceptance and reappraisal are both considered adaptive emotion regulation
strategies. While a few studies have explored the neural underpinnings of
acceptance and reappraisal in task-based fMRI and sMRI, there is a gap in the
literature regarding the resting state functional brain networks associated
with the individual differences to apply these strategies. Importantly, the
contribution of specific macro-networks has yet to be clarified, and whether
they rely on similar or different mechanisms has not been addressed yet. To
clarify these issues, we conducted a functional connectivity analysis using the
resting-state data of 134 individuals. To assess acceptance and reappraisal
abilities, we relied on the Cognitive Emotion Regulation Questionnaire (CERQ).
We used an unsupervised machine learning approach known as group-ICA to
identify resting-state networks and conducted backward regression to predict
acceptance, and reappraisal abilities. Results indicated that four networks
predicted acceptance, and one network predicted reappraisal. Acceptance was
predicted by the Executive, the Affective (including subcortical emotion
related areas), and the Sensorimotor networks, whereas reappraisal was
predicted by the Sensorimotor network. Of note, our findings suggest that there
are both distinct and overlapping brain contributions to acceptance and
reappraisal strategies, with the Sensorimotor network potentially serving as a
core common mechanism underlying both strategies. These results not only align
with but also expand upon previous findings, showing complex interplay of
cognitive, affective, and sensorial abilities in emotion regulation abilities.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要