Age-related brain deviations and aggression.
Age-related brain deviations and aggression.
复制标题
DOI：
10.1017/s003329172200068x
复制
发表时间：
2023-07
影响因子：
6.9
通讯作者：
Marquand, Andre F.
中科院分区：
文献类型：
--
作者：
Holz, Nathalie E.;Floris, Dorothea L.;Llera, Alberto;Aggensteiner, Pascal M.;Kia, Seyed Mostafa;Wolfers, Thomas;Baumeister, Sarah;Boettinger, Boris;Glennon, Jeffrey C.;Hoekstra, Pieter J.;Dietrich, Andrea;Saam, Melanie C.;Schulze, Ulrike M. E.;Lythgoe, David J.;Williams, Steve C. R.;Santosh, Paramala;Rosa-Justicia, Mireia;Bargallo, Nuria;Castro-Fornieles, Josefina;Arango, Celso;Penzol, Maria J.;Walitza, Susanne;Meyer-Lindenberg, Andreas;Zwiers, Marcel;Franke, Barbara;Buitelaar, Jan;Naaijen, Jilly;Brandeis, Daniel;Beckmann, Christian;Banaschewski, Tobias;Marquand, Andre F.
破坏性行为障碍(DBD)在临床和生物学水平上是不同的。因此，我们的目标是剖析情感脑回路的不同神经发育偏差，并提供不同模式下这些差异的整合。我们结合了两种新的方法。首先，标准建模，以绘制个人水平上的典型年龄相关模式的偏差，(I)情绪匹配期间的活动和(Ii)来自欧盟资助的Aggressotype和Matrics财团的8-18岁DBD病例(n=77)和对照(n=52)的解剖图像。第二，关联独立成分分析，以整合来自两种模式的特定于对象的偏差。虽然与对照组相比，受试者在杏仁核等区域的面部加工过程中平均表现出比他们年龄预期更高的活动，但这些积极的偏差在个体层面上普遍存在。所有功能和解剖偏差的多模式整合解释了临床DBD表型23%的变异。最值得注意的是，最上面的标记，包括默认模式网络(DMN)和皮质下区域，如杏仁核和纹状体，在整个样本中与攻击性有关。总体而言，DBD患者杏仁核年龄相关偏差的增加表明成熟延迟，这一点必须在未来的研究中进一步验证。此外，多种成像模式的个体偏差模式的整合使我们能够剖析DBD的一些异质性，并将DMN、纹状体和杏仁核识别为与攻击相关的神经特征。
Disruptive behavior disorders (DBD) are heterogeneous at the clinical and the biological level. Therefore, the aims were to dissect the heterogeneous neurodevelopmental deviations of the affective brain circuitry and provide an integration of these differences across modalities. We combined two novel approaches. First, normative modeling to map deviations from the typical age-related pattern at the level of the individual of (i) activity during emotion matching and (ii) of anatomical images derived from DBD cases (n = 77) and controls (n = 52) aged 8–18 years from the EU-funded Aggressotype and MATRICS consortia. Second, linked independent component analysis to integrate subject-specific deviations from both modalities. While cases exhibited on average a higher activity than would be expected for their age during face processing in regions such as the amygdala when compared to controls these positive deviations were widespread at the individual level. A multimodal integration of all functional and anatomical deviations explained 23% of the variance in the clinical DBD phenotype. Most notably, the top marker, encompassing the default mode network (DMN) and subcortical regions such as the amygdala and the striatum, was related to aggression across the whole sample. Overall increased age-related deviations in the amygdala in DBD suggest a maturational delay, which has to be further validated in future studies. Further, the integration of individual deviation patterns from multiple imaging modalities allowed to dissect some of the heterogeneity of DBD and identified the DMN, the striatum and the amygdala as neural signatures that were associated with aggression.