Network-wise surface-based morphometric insight into the cortical neural circuitry underlying irritability in adolescents.

Network-wise surface-based morphometric insight into the cortical neural circuitry underlying irritability in adolescents.
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DOI:
10.1038/s41398-021-01710-2
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发表时间:
2021-11-10
影响因子:
6.8
通讯作者:
Blair RJR
Blair RJR
中科院分区:
医学1区
文献类型:
--
作者:
Bajaj S;Blair KS;Bashford-Largo J;Zhang R;Mathur A;Schwartz A;Elowsky J;Dobbertin M;Hwang S;Leibenluft E;Blair RJR

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之前研究大脑结构与烦躁的相关性的研究采取了针对特定区域的方法,并且相对不一致。在有或没有临床上易激惹受损的青少年样本中,当前的研究检查了:(i)典型功能网络中的皮质体积(CV); (ii) 功能网络的CV与烦躁的严重程度之间的关联; (iii) 智商在多大程度上介导结构异常与烦躁严重程度之间的关联。结构性 MRI 和 IQ 数据收集自 130 名高烦躁青少年(平均年龄 = 15.54±1.83 岁,58 名女性,自我报告情感反应指数 [ARI] ≥ 4)和 119 名低烦躁青少年(平均年龄 = 15.10±1.93 岁,39 名女性,自我报告 ARI < 4)。将整个大脑分为 17 个先前报告的功能网络后,估计了受试者特定的网络 CV。我们的多变量协方差分析 (MANCOVA) 显示,与低烦躁青少年相比,高烦躁青少年的双边控制和默认模式网络的 CV 显着降低 (p< 0.05)。多元回归分析显示控制网络CV与烦躁严重程度之间存在显着负相关。中介分析表明,智商部分介导了控制网络CV与烦躁严重程度之间的关联。对皮层下体积 (SCV) 的后续分析表明,与低烦躁青少年相比,高烦躁青少年的杏仁核内双侧 SCV 减少。双侧控制和默认网络内的 CV 降低以及双侧杏仁核内的 SCV 降低可能代表了烦躁病理生理学的核心特征。目前的数据还表明,患者的智商在确定与控制网络相关的病理生理学如何表达方面具有潜在的重要性。
Previous studies examining structural brain correlates of irritability have taken a region-specific approach and have been relatively inconsistent. In a sample of adolescents with and without clinically impairing irritability, the current study examines: (i) cortical volume (CV) in canonical functional networks; (ii) the association between the CV of functional networks and severity of irritability; and (iii) the extent to which IQ mediates the association between structural abnormalities and severity of irritability. Structural MRI and IQ data were collected from 130 adolescents with high irritability (mean age = 15.54±1.83 years, 58 females, self-reported Affective Reactivity Index [ARI] ≥ 4) and 119 adolescents with low irritability (mean age = 15.10±1.93 years, 39 females, self-reported ARI < 4). Subject-specific network-wise CV was estimated after parcellating the whole brain into 17 previously reported functional networks. Our Multivariate Analysis of Covariance (MANCOVA) revealed that adolescents with high irritability had significantly reduced CV of the bilateral control and default-mode networks (p < 0.05) relative to adolescents with low irritability. Multiple regression analyses showed a significant negative association between the control network CV and the severity of irritability. Mediation analysis showed that IQ partially mediated the association between the control network CV and the severity of irritability. Follow-up analysis on subcortical volume (SCV) showed that adolescents with high irritability had reduced bilateral SCV within the amygdala relative to adolescents with low irritability. Reduced CV within bilateral control and default networks and reduced SCV within bilateral amygdala may represent core features of the pathophysiology of irritability. The current data also indicate the potential importance of a patient’s IQ in determining how pathophysiology related to the control network is expressed.
DOI: 10.1006/nimg.1998.0396
发表时间: 1999-02-01
期刊: NEUROIMAGE
影响因子: 5.7
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作者:
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DOI: 10.1177/019874290803300205
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