使用基于连接体的工作记忆模型来预测老年人的情绪调节。

IF 3.9 2区 医学 Q2 NEUROSCIENCES
Megan E Fisher, James Teng, Oyetunde Gbadeyan, Ruchika S Prakash
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引用次数: 0

摘要

老年人的特点是情绪幸福感增强,这可能是由于更依赖适应性情绪调节策略。然而,并不是所有的老年人都表现出情绪健康的增加,而是依赖于不适应的情绪调节策略。与年龄相关的策略偏好变化的一个重要调节因素是工作记忆及其潜在的神经回路。因此,WM背后的神经完整性的个体差异可以预测老年人的情绪调节策略偏好。我们的研究使用了来自年轻人的全脑WM网络,使用基于连接体的预测模型来预测健康老年人的WM表现和接受策略的使用。老年人(N = 110)完成了基线评估,这是一项随机对照试验的一部分,该试验考察了身心干预对健康衰老的影响。我们的研究结果表明,WM网络预测了WM的准确性,但没有预测老年人在接受使用或情绪调节方面的困难。WM性能的个体差异(而不是WM网络)调节了图像强度和接受使用之间的关系。这些发现强调,WM的强大神经标记物可以推广到健康老年人的独立样本中,但可能无法超越认知领域来预测基于情绪的行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Using connectome-based models of working memory to predict emotion regulation in older adults.

Using connectome-based models of working memory to predict emotion regulation in older adults.

Using connectome-based models of working memory to predict emotion regulation in older adults.

Older adulthood is characterized by enhanced emotional well-being potentially resulting from greater reliance on adaptive emotion regulation strategies. However, not all older adults demonstrate an increase in emotional well-being and instead rely on maladaptive emotion regulation strategies. An important moderator of age-related shifts in strategy preferences is working memory (WM) and its underlying neural circuitry. As such, individual differences in the neural integrity underlying WM may predict older adults' emotion regulation strategy preferences. Our study used whole-brain WM networks-derived from young adults using connectome-based predictive modeling-to predict WM performance and acceptance strategy use in healthy older adults. Older adults (N = 110) completed baseline assessments as part of a randomized controlled trial examining the impact of mind-body interventions on healthy aging. Our results revealed that the WM networks predicted WM accuracy but not acceptance use or difficulties in emotion regulation in older adults. Individual differences in WM performance, but not WM networks, moderated relationships between image intensity and acceptance use. These findings highlight that robust neural markers of WM generalize to an independent sample of healthy older adults but may not generalize beyond cognitive domains to predict emotion-based behaviors.

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来源期刊
CiteScore
6.80
自引率
4.80%
发文量
62
审稿时长
4-8 weeks
期刊介绍: SCAN will consider research that uses neuroimaging (fMRI, MRI, PET, EEG, MEG), neuropsychological patient studies, animal lesion studies, single-cell recording, pharmacological perturbation, and transcranial magnetic stimulation. SCAN will also consider submissions that examine the mediational role of neural processes in linking social phenomena to physiological, neuroendocrine, immunological, developmental, and genetic processes. Additionally, SCAN will publish papers that address issues of mental and physical health as they relate to social and affective processes (e.g., autism, anxiety disorders, depression, stress, effects of child rearing) as long as cognitive neuroscience methods are used.
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