Multimodal Clinical Neuroimaging Laboratory (MCNL), Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE, USA; Center for Brain, Biology, and Behavior, University of Nebraska-Lincoln, Lincoln, NE, USA.
Child and Adolescent Mental Health Centre, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark.
Brain Res Bull. 2023 Sep;201:110723. doi: 10.1016/j.brainresbull.2023.110723. Epub 2023 Aug 1.
Depressive symptoms can emerge as early as childhood and may lead to adverse situations in adulthood. Studies have examined structural brain alternations in individuals with depressive symptoms, but findings remain inconclusive. Furthermore, previous studies have focused on adults or used a categorical approach to assess depression. The current study looks to identify grey matter volumes (GMV) that predict depressive symptomatology across a clinically concerning sample of adolescents.
Structural MRI data were collected from 338 clinically concerning adolescents (mean age = 15.30 SD=2.07; mean IQ = 101.01 SD=12.43; 132 F). Depression symptoms were indexed via the Mood and Feelings Questionnaire (MFQ). Freesurfer was used to parcellate the brain into 68 cortical regions and 14 subcortical regions. GMV was extracted from all 82 brain areas. Multiple linear regression was used to look at the relationship between MFQ scores and region-specific GMV parameter. Follow up regressions were conducted to look at potential effects of psychiatric diagnoses and medication intake.
Our regression analysis produced a significant model (R = 0.446, F(86, 251) = 2.348, p < 0.001). Specifically, there was a negative association between GMV of the left parahippocampal (B = -0.203, p = 0.005), right rostral anterior cingulate (B = -0.162, p = 0.049), and right frontal pole (B = -0.147, p = 0.039) and a positive association between GMV of the left bank of the superior temporal sulcus (B = 0.173, p = 0.029). Follow up analyses produced results proximal to the main analysis.
Altered regional brain volumes may serve as biomarkers for the development of depressive symptoms during adolescence. These findings suggest a homogeneity of altered cortical structures in adolescents with depressive symptoms.
抑郁症状可能早在儿童期就出现，并可能导致成年期的不良情况。研究已经检查了有抑郁症状的个体的大脑结构变化，但结果仍不确定。此外，以前的研究集中在成年人或使用分类方法来评估抑郁。本研究旨在确定灰质体积（GMV），以预测在临床关注的青少年样本中出现的抑郁症状。
从 338 名临床关注的青少年（平均年龄=15.30，标准差=2.07；平均智商=101.01，标准差=12.43；132 名女性）中收集结构 MRI 数据。使用情绪和感觉问卷（MFQ）来评估抑郁症状。Freesurfer 用于将大脑分割成 68 个皮质区域和 14 个皮质下区域。从所有 82 个脑区提取 GMV。使用多元线性回归来研究 MFQ 分数与区域特异性 GMV 参数之间的关系。进行后续回归以研究潜在的精神科诊断和药物摄入的影响。
我们的回归分析产生了一个显著的模型（R=0.446，F（86,251）=2.348，p<0.001）。具体而言，左侧海马旁回（B=-0.203，p=0.005）、右侧额前扣带（B=-0.162，p=0.049）和右侧额极（B=-0.147，p=0.039）的 GMV 与抑郁症状之间存在负相关，而左侧颞上回优势半球（B=0.173，p=0.029）的 GMV 与抑郁症状之间存在正相关。后续分析产生了与主要分析接近的结果。
改变的区域脑体积可能作为青少年抑郁症状发展的生物标志物。这些发现表明，有抑郁症状的青少年的皮质结构改变具有同质性。
