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识别青少年脑结构特征及其与当前和未来精神病理学的关联。

Identifying profiles of brain structure and associations with current and future psychopathology in youth.

机构信息

Temple University, Department of Psychology, 1701 N 13th St, Philadelphia, PA 19122, USA.

University of Minnesota, Institute of Child Development, 1 E River Rd, Minneapolis, MN, 55455, USA.

出版信息

Dev Cogn Neurosci. 2021 Oct;51:101013. doi: 10.1016/j.dcn.2021.101013. Epub 2021 Sep 14.

Abstract

Brain structure is often studied as a marker of youth psychopathology by examining associations between volume or thickness of individual regions and specific diagnoses. However, these univariate approaches do not address whether the effect of a particular region may depend on the structure of other regions. Here, we identified subgroups of individuals with distinct profiles of brain structure and examined how these profiles were associated with concurrent and future youth psychopathology. We used latent profile analysis to identify distinct neuroanatomical profiles of subcortical region volume and orbitofrontal cortical thickness in the ABCD study (N = 9376, mean age = 9.91, SD = 0.62). We identified a five-profile solution consisting of a reduced subcortical volume profile, a reduced orbitofrontal thickness profile, a reduced limbic and elevated striatal volume profile, an elevated orbitofrontal thickness and reduced striatal volume profile, and an elevated orbitofrontal thickness and subcortical volume profile. While controlling for age, sex, and intracranial volume, profiles exhibited differences in concurrent psychopathology measured dimensionally and categorically and in psychopathology at 1-year follow-up measured dimensionally. Results show that profiles of brain structure have incremental validity for associations with youth psychopathology beyond intracranial volume.

摘要

脑结构通常通过检查个体区域的体积或厚度与特定诊断之间的关联来作为青年精神病理学的标志物进行研究。然而,这些单变量方法并未解决特定区域的影响是否可能取决于其他区域的结构。在这里,我们确定了具有不同脑结构特征的个体亚组,并研究了这些特征与当前和未来的青年精神病理学之间的关系。我们使用潜在剖面分析来确定 ABCD 研究中皮质下区域体积和眶额皮质厚度的不同神经解剖学特征(N=9376,平均年龄=9.91,标准差=0.62)。我们确定了一个由五个特征组成的解决方案,包括皮质下体积减少、眶额皮质厚度减少、边缘系统和纹状体体积减少、眶额皮质厚度增加和纹状体体积减少以及眶额皮质厚度和皮质下体积增加。在控制年龄、性别和颅内体积的情况下,这些特征在当前的精神病理学测量维度和分类上以及在 1 年随访时的精神病理学测量维度上存在差异。结果表明,脑结构特征与青年精神病理学的关联具有颅内体积之外的增量有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45d5/8461345/8a2e1fa739e4/gr1.jpg

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