Distinct neural correlates of trait resilience within core neurocognitive networks in at-risk children and adolescents.
Distinct neural correlates of trait resilience within core neurocognitive networks in at-risk children and adolescents.
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DOI：
10.1016/j.nicl.2018.06.026
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Rabinak CA
中科院分区：
文献类型：
--
作者：
Iadipaolo AS;Marusak HA;Paulisin SM;Sala-Hamrick K;Crespo LM;Elrahal F;Peters C;Brown S;Rabinak CA
大多数遭受与威胁相关的逆境（例如暴力、虐待、忽视）的儿童都具有复原力，也就是说，他们表现出健康心理发展的稳定轨迹。尽管如此，大多数关于逆境后神经发育变化的研究都集中在负面结果的神经相关性上，例如精神病理学。儿科人群特质复原力的神经相关性尚不清楚，也不清楚它们是否与与逆境暴露和缺乏负面结果（例如抑郁症状）相关的神经相关性不同。这项功能性磁共振成像 (fMRI) 研究报告了从各种压力环境（例如，收入较低、面临与威胁相关的逆境）中招募的 55 名儿童和青少年（6-17 岁）的不同样本。参与者完成了多回波多波段静息态功能磁共振成像扫描以及特质弹性和情绪相关症状（例如抑郁症状）的自我报告测量。静息态数据提交给独立成分分析 (ICA)，以识别核心神经认知网络（显着性和情感网络 [SEN]、默认模式网络 [DMN]、中央执行网络 [CEN]）。我们测试了特征弹性和核心神经认知网络的动态（即时变）以及传统静态（即整个会话的平均值）静息态功能连接（rsFC）之间的联系。具有较高特质弹性的青少年在特定的动态 rsFC 状态下花费的时间较少，其特征是前 DMN 和右侧 CEN 之间的 rsFC 增强。在这种状态下，特质弹性与 SEN 的较低 rsFC 以及右侧 CEN 和前 DMN 相关。特质恢复力和传统静态 rsFC 之间没有关联。重要的是，尽管复原力更强的年轻人抑郁症状较低，但复原力对 rsFC 的影响与抑郁症状和逆境暴露无关。本研究首次报告了青少年特质复原力的神经相关性，并提供了对环境压力背景下大脑组织潜在适应性模式的初步见解。了解积极适应早期逆境的神经动力学将有助于制定干预措施，重点是增强复原力，而不是缓解已经存在的心理问题。这是第一项研究青少年特质弹性的神经相关性的研究。适应能力更强的儿童处于某种 rsFC 状态的时间较少。适应能力更强的儿童在 CEN 和 DMN 中表现出 SEN rsFC 的州特异性降低。复原力对 rsFC 的影响与抑郁和早期逆境无关。
Most children who are exposed to threat-related adversity (e.g., violence, abuse, neglect) are resilient - that is, they show stable trajectories of healthy psychological development. Despite this, most research on neurodevelopmental changes following adversity has focused on the neural correlates of negative outcomes, such as psychopathology. The neural correlates of trait resilience in pediatric populations are unknown, and it is unclear whether they are distinct from those related to adversity exposure and the absence of negative outcomes (e.g., depressive symptomology). This functional magnetic resonance imaging (fMRI) study reports on a diverse sample of 55 children and adolescents (ages 6–17 years) recruited from a range of stressful environments (e.g., lower income, threat-related adversity exposure). Participants completed a multi-echo multi-band resting-state fMRI scan and self-report measures of trait resilience and emotion-related symptomology (e.g., depressive symptoms). Resting-state data were submitted to an independent component analysis (ICA) to identify core neurocognitive networks (salience and emotion network [SEN], default mode network [DMN], central executive network [CEN]). We tested for links among trait resilience and dynamic (i.e., time-varying) as well as conventional static (i.e., averaged across the entire session) resting-state functional connectivity (rsFC) of core neurocognitive networks. Youth with higher trait resilience spent a lower fraction of time in a particular dynamic rsFC state, characterized by heightened rsFC between the anterior DMN and right CEN. Within this state, trait resilience was associated with lower rsFC of the SEN with the right CEN and anterior DMN. There were no associations among trait resilience and conventional static rsFC. Importantly, although more resilient youth reported lower depressive symptoms, the effects of resilience on rsFC were independent of depressive symptoms and adversity exposure. The present study is the first to report on the neural correlates of trait resilience in youth, and offers initial insight into potential adaptive patterns of brain organization in the context of environmental stressors. Understanding the neural dynamics underlying positive adaptation to early adversity will aid in the development of interventions that focus on strengthening resilience rather than mitigating already-present psychological problems. This is the first study to examine neural correlates of trait resilience in youth. More resilient children spent a lower fraction of time in a certain rsFC state. More resilient children showed a state-specific reduction in rsFC of the SEN with the CEN and DMN. Effects of resilience on rsFC were independent of depression and early adversity.
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影响因子：
25.8
作者：
Kaiser, Roselinde H.;Andrews-Hanna, Jessica R.;Wager, Tor D.;Pizzagalli, Diego A.
通讯作者：
Pizzagalli, Diego A.
影响因子：
7.4
作者：
Connor, KM;Davidson, JRT
通讯作者：
Davidson, JRT
影响因子：
3.7
作者：
Allen, Elena A.;Damaraju, Eswar;Calhoun, Vince D.
通讯作者：
Calhoun, Vince D.
DOI：
10.1111/j.0963-7214.2005.00347.x
发表时间：
2005-06-01
影响因子：
7.2
作者：
Bonanno, GA
通讯作者：
Bonanno, GA
影响因子：
6.6
作者：
Fu, Christine;Leoutsakos, Jeannie-Marie;Underwood, Carol
通讯作者：
Underwood, Carol