1 Clinical Research Unit, Brain and Mind Centre, University of Sydney , Camperdown, Australia .
2 Sunshine Coast Mind and Neuroscience, University of the Sunshine Coast , Birtinya, Australia .
Brain Connect. 2018 Jun;8(5):299-310. doi: 10.1089/brain.2018.0584.
Structural covariance networks (SCNs) may offer unique insights into the developmental impact of childhood maltreatment (CM) because they are thought to reflect coordinated maturation of distinct gray matter regions. T1-weighted magnetic resonance images were acquired from 121 young people with emerging mental illness. Diffusion-weighted and resting-state functional imaging was also acquired from a random subset of participants (n = 62). Ten study-specific SCNs were identified using a whole-brain gray matter independent component analysis. The effects of CM and age on average gray matter density and the expression of each SCN were calculated. CM was linked to age-related decreases in gray matter density across an SCN that overlapped with the default mode network (DMN) and frontoparietal network. Resting-state functional connectivity (rsFC) and structural connectivity were calculated in the study-specific SCN and across the whole brain. Gray matter covariance was significantly correlated with rsFC across the SCN, and rsFC fully mediated the relationship between gray matter covariance and structural connectivity in the nonmaltreated group. A unique association of gray matter covariance with structural connectivity was detected among individuals with a history of CM. Perturbation of gray matter development across the DMN and frontoparietal network following CM may have significant implications for mental well-being, given the networks' roles in self-referential activity. Cross-modal comparisons suggest that reduced gray matter following CM could arise from deficient functional activity earlier in life.
结构协变网络 (SCN) 可能为儿童期虐待 (CM) 的发展影响提供独特的见解,因为它们被认为反映了不同灰质区域的协调成熟。从 121 名患有精神疾病的年轻人中获取 T1 加权磁共振图像。从参与者的随机子集 (n = 62) 还获取了扩散加权和静息状态功能成像。使用全脑灰质独立成分分析识别了 10 个特定于研究的 SCN。计算了 CM 和年龄对平均灰质密度和每个 SCN 表达的影响。CM 与默认模式网络 (DMN) 和额顶网络重叠的 SCN 中与年龄相关的灰质密度下降有关。在特定于研究的 SCN 中以及在整个大脑中计算静息状态功能连接 (rsFC) 和结构连接。灰质协方差与整个 SCN 的 rsFC 显著相关,在未受虐待组中,rsFC 完全介导了灰质协方差与结构连接之间的关系。在有 CM 病史的个体中检测到灰质协方差与结构连接之间的独特关联。CM 后 DMN 和额顶网络中灰质发育的破坏可能对心理健康产生重大影响,因为这些网络在自我参照活动中发挥作用。跨模态比较表明,CM 后灰质减少可能源于生命早期功能活动不足。